Potential Impact of COVID-19 on Rheumatoid Arthritis Stem Cell Therapy Market Forecasted To Surpass The Value Of US$ XX Mn/Bn By 2034 2018 to 2028 -…

The presented market report on the global Rheumatoid Arthritis Stem Cell Therapy market published by Fact.MR is a comprehensive analysis of the leading parameters that are likely to determine the growth of the Rheumatoid Arthritis Stem Cell Therapy market in the forthcoming decade. Further, the study dives in deep to investigate the micro and macro-economic factors that are projected to influence the global scenario of the Rheumatoid Arthritis Stem Cell Therapy market during the forecast period (2019-2029).

The market study reveals that the Rheumatoid Arthritis Stem Cell Therapy market is expected to grow at a CAGR of ~XX% and reach a value of ~USXX by the end of 2029. The report examines the current trends, growth opportunities, restraints, and market drivers that are projected to influence the overall dynamics of the Rheumatoid Arthritis Stem Cell Therapy market in the assessment period. The market study predicts the course of the global Rheumatoid Arthritis Stem Cell Therapy market post the COVID-19 pandemic and offers resourceful insights to market players pertaining to their business continuity strategies and more.

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Rheumatoid Arthritis Stem Cell Therapy Market Segmentation

The report bifurcates the Rheumatoid Arthritis Stem Cell Therapy market into multiple segments to provide a clear picture of the Rheumatoid Arthritis Stem Cell Therapy market at a granular level. The key segments covered in the report include region, product type, application, and more.

Competitive landscape

The growth projection of each of these segments and sub-segments is accurately tracked in the report along with east-to-understand graphs and tables. Further, the market share, size, value, and Y-o-Y growth of the Rheumatoid Arthritis Stem Cell Therapy market segments are included in the report.

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Potential Impact of COVID-19 on Rheumatoid Arthritis Stem Cell Therapy Market Forecasted To Surpass The Value Of US$ XX Mn/Bn By 2034 2018 to 2028 -...

InnoCan Pharma, TAU Ink Deal To Work On CBD-Based Treatment For COVID-19 | Health News – NoCamels – Israeli Innovation News

Israels InnoCan Pharma, a company specializing in developing novel therapeutics using cannabinoids, has entered into an agreement with Ramot, the technology transfer arm of Tel Aviv University, to develop a novel approach to treat COVID-19 by using cannabidiol (CBD) loaded exosomes.

Exosomes are small particles created when stem cells are multiplied. They can act as homing missiles, targeting specific damaged organs and also have an important role in cell-to-cell communication.

InnoCan will join a team led by Professor Daniel Offen, a researcher specializing in neuroscience and exosome technology at Tel Aviv University, to collaborate on the development of a cell therapy product, based on his work in the field.

The two groups will collaborate on a novel, exosome-based technology that targets central nervous system (CNS) indications and COVID-19, the disease caused by the novel coronavirus, they said in a statement.

CBD-loaded exosomes hold the potential to provide a highly synergistic effect of anti-inflammatory properties and help in the recovery of infected lung cells.

When cell healing properties of the exosomes are combined with the anti-inflammatory properties of CBD, it is expected to reach this high synergetic effect, according to InnoCan.

InnoCan has agreed to fund the research in the aggregate amount of about $450,000 in the first stage.

The product will be administered by inhalation, InnoCan said, and will be tested against a variety of lung infections.

The research results may also be beneficial to additional treatments for Central Nerve System ( CNS ) indications, such as epilepsy and Alzheimers Disease, the company said.

The agreement gives InnoCan the option to receive an exclusive global royalty-bearing license to Ramots background tech and the research results to allow InnoCan to develop and manufacture this potential treatment for COVID-19 and other respiratory illnesses. If InnoCan decides to exercise this option, the two companies have agreed to negotiate the license agreement, according to predefined commercial terms outlined in the agreement.

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InnoCan Pharma, TAU Ink Deal To Work On CBD-Based Treatment For COVID-19 | Health News - NoCamels - Israeli Innovation News

PHF20L1 as a H3K27me2 reader coordinates with transcriptional repressors to promote breast tumorigenesis – Science Advances

INTRODUCTION

A diverse array of posttranslational modifications that often occur on histone tails represents an essential means to regulate DNA-templated processes such as gene transcription (1). The methylation of histone lysine residue regulates multiple biological processes, including genome stability, gene expression, cell proliferation, and nuclear architecture (2). Histone methylation homeostasis is mediated by a series of methylase and demethylase complexes, and the recognition of methylated histones is accomplished by readers that usually contain plant homeodomain (PHD) finger domains, WD40 repeats, CW domains, PWWP domains, and the royal superfamily, including proteins with chromodomains, TUDOR domains, and malignant brain tumor (MBT) repeats (3). TUDOR domaincontaining proteins (TDRDs) have the potential to recognize histone methylation, and the abnormal overexpression of several TDRDs has been observed in breast cancer (4). PHD finger protein 20 (PHF20) and PHF20L1 share similar domains and are homolog TDRDs. PHF20 is a component of the MOF (male absent on the first)nonspecific lethal lysine acetyltransferase complex, which is involved in transcriptional activation (57). As a histone reader, PHF20 recognizes histone H3K4me2 via its PHD finger, and the H3K4me2-binding function of the PHD finger is essential for PHF20-dependent histone acetylation, target gene activation, and cancer cell growth (8). PHF20L1 was reported to recognize nonhistone methylation (9, 10). However, its roles in the recognition of histone modifications and in tumor progression remain largely unknown.

The polycomb repressive complex 2 (PRC2) is involved in repressing gene transcription through the methyltransferase activity of EZH2 for H3K27me2 and H3K27me3 writing, thus playing an important role in a number of biological processes, including embryonic development, cell fate decisions, and cancer progression (11). In mouse embryonic stem cells, H3K27me2 is the dominant modification form, reaching 70%, while H3K27me1 and H3K27me3 only occupy 7 and 4% of the total H3, respectively (12). H3K27me3 is mainly enriched within the promoters of silenced genes (13); conversely, H3K27me1 and H3K27ac accumulate on transcriptionally active genes (12, 14). Although H3K27me2 is distributed in large chromatin regions, its function remains enigmatic, and the readers that recognize H3K27 methylation modifications need to be further elucidated.

As one of the four major types of adenosine 5-triphosphate (ATP)dependent chromatin remodeling complexes, the nucleosome remodeling and deacetylase (NuRD) complex participates in a variety of biological processes, such as chromatin assembly, tumor progression, genomic stability, mitochondrial homeostasis, and pluripotency, through diverse assembly methods (15, 16). It has been reported that the NuRD complex promotes tumor progression via its deacetylation activity, which results in the silencing of various tumor suppressor genes (TSGs) (17). Metastasis associated 1 (MTA1) is a core factor of the NuRD complex, whose methylation is essential for the formation of the NuRD complex (18). Increasingly, key nuclear proteins such as lysine specific demethylase 1 (LSD1) have been reported to be incorporated into the NuRD complex superfamily, adding new features to this complex (19). It has been demonstrated that PRC2 and the NuRD complex can synergistically mediate H3K27 methylation and acetylation homeostasis to modulate the expression of transcriptionally poised genes in embryonic stem cells (20). However, the regulation of H3K27 modifications by PRC2 and the NuRD complex remains to be further explored in breast cancer.

The Warburg effect refers to cancer cells that exhibit aberrant metabolism characterized by high glycolysis even in the presence of abundant oxygen. This mechanism has now been widely accepted as a hallmark of cancer, which facilitates tumor growth with elevated glucose uptake and lactate production (21). Here, we report that PHF20L1 is a histone methylation reader protein, which recognizes H3K27me2 and collaborates with PRC2 and the NuRD complex in regulating H3K27 modifications to suppress a series of tumor suppressors, ultimately promoting the Warburg effect and breast tumorigenesis.

TDRDs are often dysregulated in breast cancer (The Cancer Genome Atlas and Molecular Taxonomy of Breast Cancer International Consortium datasets) (4), and the vast majority of TUDOR domainrecognizing ligands have been reported (fig. S1A). To explore the characteristics of these TDRDs that govern breast cancer proliferation, small interfering RNA (siRNAs) targeting indicated that TDRDs were transfected into human mammary carcinoma MDA-MB-231 or Hs 578T cells to assess the state of cell growth. In these experiments, at least two independent siRNA sequences were tested for each gene (fig. S1B) and then mixed for subsequent growth curve experiments and 5-ethynyl-2-deoxyuridine (EdU) assays. As reported (22), the knockdown (KD) of some TDRDs such as lysine demethylase 4A (KDM4A) substantially inhibited the growth of MDA-MB-231 cells. However, unexpectedly, our results showed that the depletion of PHF20L1 had a stronger inhibitory effect on the proliferation of MDA-MB-231 cells than the suppression of other TUDOR domain proteins (fig. S1C). To further consolidate our results, we transfected MDA-MB-231 and Hs 578T cells with siRNAs for 48 hours and then performed the EdU assays using a Click-iT EdU Alexa Fluor 488 imaging kit (Life Technologies). Immunofluorescence staining followed by microscopic analysis indicated that the deficiency of TDRDs, including PHF20L1, KDM4A, or ubiquitin like with PHD and ring finger domains 1 (UHRF1), could notably inhibit the proliferative activity of breast cancer cells (fig. S1, D to F). Together, these results suggest that PHF20L1 is necessary to maintain the proliferative state of breast cancer cells.

To determine how PHF20L1 regulates breast cancer cell growth, we performed RNA sequencing (RNA-seq) experiments in MDA-MB-231 cells using siRNA against PHF20L1 and control oligonucleotides. Compared to levels in the control, we identified a total of 1793 up-regulated genes and 1436 down-regulated genes (fold change, >1.5; P < 0.001) in PHF20L1-deficienct cells (Fig. 1A, left). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the differentially expressed genes revealed that the dysregulated genes were involved in vital biological processes. Further, down-regulated genes were enriched in pathways that regulate metabolic pathways, cell cycle, and glycolysis/gluconeogenesis, whereas up-regulated genes were enriched in pathways related to cell adhesion, insulin resistance, and lysosome (Fig. 1A, right). The epigenetic silencing of TSGs is one of the crucial reasons that promote tumorigenesis (23). Considering that PHF20L1 is essential for the proliferation of breast cancer cells, by analysis of the RNA-seq results, we found that the depletion of PHF20L1 could indeed up-regulate the expression of several well-known TSGs, including HIC1, KISS1, RASSF1, FBXW7, BRCA1, PTPRG, IGFBPL1, MTUS1, FHIT, CHFR, CASP7, FOXO3, and GLI3 (Fig. 1B, top). Meanwhile, the enrichment of differentially expressed genes in the metabolic pathways and glycolysis pathways indicated that PHF20L1 may play important roles in promoting the Warburg effect. In the RNA-seq data, we also found many glycolysis-related genes (GRGs) including SIRT1, GLUT1, HK2, GPI, ALDOA, GAPDH, PGK1, PGAM1, ENO1, ENO2, PKM, and LDHA were decreased in PHF20L1-depleted cells (Fig. 1B, bottom). Five representative differentially expressed genes of both up-regulated TSGs and down-regulated GRGs were further validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis using PHF20L1 KD MDA-MB-231 cells (Fig. 1, C and D). Further, the reexpressing siRNA-resistant FLAG-PHF20L1 (WTres) was found to rescue the up-regulation of TSGs and the down-regulation of GRGs in PHF20L1-deficient cells (Fig. 1E).

(A) Heatmap representation of differentially expressed genes (fold change, >1.5; P < 0.001) in control (siControl) and PHF20L1 KD (siPHF20L1-1, siPHF20L1-2, and siPHF20L1-3) MDA-MB-231 cells. Red, up-regulated genes; blue, down-regulated genes. The right panel shows the results of the KEGG pathway analysis of differentially expressed genes. Data were analyzed using KOBAS 3.0 software (B) Heatmap of known TSGs and GRGs identified by RNA-seq. (C and D) qRT-PCR analysis of selected TSGs and GRGs in PHF20L1 KD (siPHF20L1) MDA-MB-231 cells. TUBB (-tublin) served as an irrelevant control gene. The mRNA levels were normalized to those of ATCB (-actin). (E) Western blotting analysis of selected TSGs and GRGs in control, PHF20L1 KD, and PHF20L1 KD MDA-MB-231 or Hs 578T cells stably expressing short hairpin RNA (shRNA)resistant PHF20L1 (WTres). -Actin served as loading control. (F) Gene set enrichment analysis (GSEA) plot of MYC signal pathway (left) and hypoxia signal pathway (right). FDR, false discovery rate; NES, normalized enrichment score. (G) MYC KD significantly down-regulates the expression of PHF20L1. The expression of MYC or PHF20L1 was measured by qRT-PCR and Western blotting in MDA-MB-231 cells transfected with siRNAs as indicated. (H) Western blotting analysis of the expression of PHF20L1 and hypoxia-inducible factor 1 (HIF1) in MDA-MB-231 cells treated with CoCl2. (I) Primer pairs including #1 to #6 were synthesized to cover the promoter region of PHF20L1 and quantitative chromatin immunoprecipitation (qChIP)based promoter walk was performed using normal or CoCl2-treated MDA-MB-231 cells. (J) Luciferase activity of PHF20L1 promoter reporters in human embryonic kidney (HEK) 293T cells transfected with vector, MYC, or HIF1. (K) MDA-MB-231 cells were transfected with indicated siRNAs or infected with lentiviruses as indicated. ECAR (extracellular acidification rate) was then determined separately. (L) A proposed model underlying the role of the MYC/HIF1a-PHF20L1 axis in regulating the expression of TSGs and GRGs. All error bars represent means SD. Two-tailed unpaired t test, *P < 0.05 and **P < 0.01 (C, D, G, I, J, and K).

To further investigate the biological significance of PHF20L1, we performed gene set enrichment analysis (GSEA) using GSEA v2.2.2 software on differentially expressed PHF20L1 target genes and found strong enrichment on the targets of MYC and hypoxia signature genes (Fig. 1F). It has been reported that MYC and hypoxia-inducible factor 1 (HIF1) are key factors in the regulation of glycolysis in cancer cells and that their abnormal expression could promote the glycolysis process (24, 25). GSEA results suggested that PHF20L1 might participate in the MYC and hypoxia signaling pathways. To explore the crucial role of PHF20L1 in the MYC signaling pathway, we transfected PHF20L1 siRNAs into MDA-MB-231 cells and found that the KD of PHF20L1 did not influence mRNA and protein levels of MYC (Fig. 1G, top) but that mRNA and protein levels of PHF20L1 were notably decreased in MYC KD MDA-MB-231 cells (Fig. 1G, bottom), which indicated that PHF20L1 is downstream of the MYC signaling pathway. It has been reported that HIF1 expression in mammalian cells can be induced in response to hypoxic conditions (1% O2) or hypoxia activators, such as deferoxamine and cobalt chloride (CoCl2) (26). To further determine whether hypoxic conditions induce PHF20L1 expression, we examined protein levels of PHF20L1 in MDA-MB-231 cells exposed to CoCl2 treatment. We found that PHF20L1 was indeed induced by hypoxic conditions (Fig. 1H). Moreover, further quantitative chromatin immunoprecipitation (qChIP) assays using specific antibodies against MYC and HIF1 showed strong binding to PHF20L1 #5 and #6 promoter regions of MYC and HIF1, respectively (Fig. 1I). To further test whether MYC and HIF1 could directly regulate PHF20L1 transcription, we searched up to ~2 kb of the PHF20L1 promoter regions for possible MYC- and HIF1-binding sites. The luciferase reporter assays were performed using constructs containing the deletion mutants of each putative binding region. The results showed that overexpression of MYC and HIF1 significantly increased the reporter activity of the PHF20L1 promoter. Moreover, deletion of the 650 to 308 fragment abrogated the MYC-mediated promoter reporter activity, whereas deletion of the 308 to 0 fragment eliminated HIF1-mediated promoter reporter activity. Meanwhile, deletion of the 650 to 0 promoter fragment almost completely abolished reporter activity (Fig. 1J). Together, these data indicate that PHF20L1 is a direct target gene of MYC/ HIF1. To further explore the key role of PHF20L1 in altering glycolysis levels in breast cancer cells, MDA-MB-231 cells were transfected with siRNAs or infected with lentiviruses as indicated, and glycolysis levels were measured using a Seahorse XFe24 system (Seahorse Bioscience). Our experiments revealed that PHF20L1 loss of function could significantly reduce the extracellular acidification rate (ECAR), which reflects overall glycolysis levels. Meanwhile, these effects could be reversed by the reexpression of siRNA-resistant PHF20L1 (Fig. 1K, left). In addition, the reduction in glycolysis flux due to MYC depletion was also partially reversed by the reexpression of PHF20L1 (Fig. 1K, right). Together, these experiments revealed that PHF20L1, as a MYC- and HIF1-driven gene, could repress the expression of several tumor suppressors such as HIC1, KISS1, and BRCA1 and then promotes the expression of GRGs. (Fig. 1L).

PHF20L1 has MBT, TUDOR, and PHD domains; to further explore the molecular mechanisms through which PHF20L1 exerts its biological functions, we first used a modified histone peptide array containing peptide-cellulose conjugates spotted onto the planar surface of a standard microscope slide in a three-dimensional layer, carrying various histone modifications in duplicate (available on the Active Motif official website), to screen potential histone-binding sites. We found that the glutathione S-transferase (GST)fused TUDOR domain of PHF20L1 binds strongly to the H3K27me2 peptide, whereas the MBT and PHD domains had no specific binding sites (Fig. 2, A and B). The TUDOR domain of PHF20L1 could only recognize the peptide with H3K27me2 but not the peptide with H3K27me2S28p, H3R26me2sK27me2S28p, or H3R26me2aK27me2S28p. The finding that the GST-TUDOR could not bind the peptides that contain H3S28p in addition to H3K27me2 suggested that the binding is inhibited by S28p. Biotinylated histone peptide pull-down assays with GST- or FLAG-fused PHF20L1 full-length or truncated mutants, as indicated, further confirmed the screening results of peptide array (Fig. 2C). A schematic illustration of the four different domains of PHF20L1 and GST-fused domains purified from BL21 Escherichia coli are shown in Fig. 2 (D and E). To further explore binding between the TUDOR domain and H3K27me2, we performed quantitative isothermal titration calorimetry (ITC) assays, and the results revealed an affinity dissociation constant (KD) of 73.6 M for the PHF20L1 TUDOR domain to the H3K27me2 peptide, which was much lower than that with other modifications (Fig. 2F). Meanwhile, the results from surface plasmon resonance (SPR) assays further confirmed the specific binding between the PHF20L1 TUDOR domain and the H3K27me2 peptide (Fig. 2G). Previous studies have shown that the TUDOR domain of PHF1 recognizes the H3K36me3 peptide (27), and the results of ITC and SPR assays further revealed that the PHF20L1 TUDOR domain did not bind H3K36me3, which also indicated the specificity of PHF20L1 for H3K27me2 recognition. Moreover, we found that the PHF20L1 TUDOR domain is highly conserved among different species (Fig. 2H). To further explore the key amino acids of PHF20L1 that play important roles in recognizing H3K27me2, peptide pull-down experiments with GST-fused several TUDOR mutants were performed. The results showed that except for mutations in the glutamate-92 and threonine-98, other mutations could not abolish the interaction between H3K27me2 and the PHF20L1 TUDOR domain (Fig. 2I). Similar results were observed in peptide pull-down assays using FLAG-fusion PHF20L1 WT (wild type) and mutants (Fig. 2J). These results revealed the importance of the E92 and T98 residues of PHF20L1 TUDOR in H3K27me2 binding, probably because E92 and T98 residues are essential for the formation of hydrogen bonds between TUDOR and H3K27me2 or they are crucial for the maintenance of the structure of the TUDOR protein. Together, these experiments identified PHF20L1 as an important histone reader exhibiting high affinity and selectivity for H3K27me2 based on the TUDOR domain, which might be involved in transcriptional regulation.

(A) Anti-GST immunoblot of the GST, GST-fused MBT, TUDOR, and PHD domains were measured on a histone peptide array. Peptides were spotted in duplicate as shown in two boxes on the same array. The positions of H3K27me1-, H3K27me2-, and H3K27me3-containing peptides are highlighted with yellow, blue, and red circles. (B) Graphical analysis of the highest binding events detected showing the binding specificity of the GST-TUDOR domain measured on a histone peptide array. (C) Western blotting analysis of histone peptide pull-down assays with GST- or FLAG-fused proteins as indicated. (D and E) Schematic illustrating the four different domains of PHF20L1 and the GST-fused domains purified from BL21 E. coli. (F) Experimental ITC titration curves of the PHF20L1 TUDOR domain to the indicated peptides. (G) SPR analysis of the interaction of PHF20L1 TUDOR with peptides as indicated. (H) Conservation of the PHF20L1 TUDOR domain among 10 species and the designated mutation amino acid sites were shown. (I and J) Western blot analysis of the peptide pull-down analysis using the GST- or FLAG-fused point mutants as indicated.

H3S28p was reported to lead to gene promoter remodeling and transcriptional activation (28). Since the interaction between H3K27me2 and PHF20L1 was repelled by H3S28p, we next investigated whether PHF20L1 is involved in transcriptional repression. First, to identify PHF20L1 interacting proteins, cellular extracts from human embryonic kidney (HEK) 293T and MDA-MB-231 cells stably expressing FLAG-PHF20L1 were subjected to affinity purification using anti-FLAG beads, and the eluates were resolved using an SDSpolyacrylamide gel electrophoresis (SDS-PAGE) gel followed by silver staining to identify interacting proteins. Mass spectrometry analysis showed that PHF20L1 was indeed copurified with subunits of transcription repressionrelated complexes such as PRC2 and the NuRD complex, including EZH2, SUZ12, EED, Mi-2/, histone deacetylase 1/2 (HDAC1/2), MTA1/2, and MBD3 in both cell lines with a high abundance (Fig. 3A). The mass spectrometry details are shown in tables S1 and S2. The presence of PRC2 and NuRD subunits in the PHF20L1 interactome was confirmed by Western blotting with antibodies against the indicated components in the corresponding two cell lines (fig. S2A). Since PHF20 and PHF20L1 are homolog TDRDs with similar domains, we further performed coimmunoprecipitation (Co-IP) experiments using the FLAG antibody in MDA-MB-231 cells that stably expressed FLAG-PHF20L1 or PHF20. The results showed obvious interactions between PHF20L1 and the PRC2/NuRD complex, as well as interaction between PHF20 and MOF (Fig. 3B), as previously reported (5, 6). Unexpectedly, we also found that the PHF20 and PRC2 had some interactions. To further confirm whether their interaction was caused by the DNA fragments that might link some epigenetic regulators together, the Co-IP experiments stated before were performed in the presence or absence of deoxyribonuclease (DNase). The results showed that the interaction between PHF20 and PRC2 disappeared in the presence of DNase, indicating that this binding was indirect (Fig. 3B). Collectively, these results support the notion that PHF20L1 selectively interacts with the PRC2/NuRD complex, whereas PHF20 specifically interacts with MOF. To further confirm the interaction between PHF20L1 and the two transcriptional repressor complexes, we performed Co-IP experiments with HEK293T, MDA-MB-231, and Hs 578T cells. The results showed robust interactions between PHF20L1 and PRC2 or the NuRD complex in vivo (Fig. 3C). We next performed protein fractionation experiments with nuclear proteins by fast protein liquid chromatography (FPLC) with Superose 6 gel filtration chromatography. Western blotting analysis showed that the elution pattern of PHF20L1 largely overlapped with that of PRC2 components, including EZH2 and SUZ12, and NuRD complex proteins, including Mi-2, MTA1/2, HDAC1/2, RbAp46/48, and MBD3 (fig. S2B). These results also indicated a major peak at approximately 667 to 2000 kDa for PHF20L1, PRC2, and NuRD subunits. Furthermore, analysis of the FLAG-PHF20L1 affinity eluate by FPLC with Superose 6 gel filtration chromatography showed that FLAG-PHF20L1 exists in a multiprotein complex, containing PRC2 and NuRD subunits (fig. S2C). To define the key domains of PHF20L1 responsible for directly interacting with PRC2 and the NuRD complex in vivo, a series of PHF20L1 FLAG-tagged domain or deletion mutants were expressed in HEK293T cells. Co-IP with an anti-FLAG antibody followed by Western blotting with indicated antibodies showed that the middle part of PHF20L1, termed the PRC2-NuRDinteracting domain (PNID), was responsible for interactions with PRC2 and the NuRD complex (fig. S2D).

(A) Immunopurification and mass spectrometry analysis of PHF20L1-associated proteins in HEK293T and MDA-MB-231 cells. The eluates were resolved by SDS-PAGE and silver-stained, and the bands were retrieved and analyzed by mass spectrometry. (B) Cellular lysates from MDA-MB-231 cells were immunoprecipitated with antibodies against FLAG in the presence or absence of DNase. (C) Association of PHF20L1 with PRC2 and NuRD in HEK293T, MDA-MB-231, and Hs 578T cells. Whole-cell lysates were prepared, and Co-IP was performed. (D) Molecular interaction between PHF20L1 and PRC2 or NuRD subunits. GST/His pull-down assays using bacterially expressed GST/His-fused proteins and in vitro transcribed/translated proteins are shown as indicated. (E and F) GST pull-down assays with GST-fused truncated EZH2 or MTA proteins and in vitrotranscribed/translated PHF20L1. (G) Mapping the interface in PHF20L1 for the interaction between PHF20L1 and PRC2 or NuRD by GST pull-down assays with GST-fused PHF20L1 domain constructs and in vitrotranscribed/translated PRC2 and NuRD subunits. (H) Mapping the interface in PNID for the interaction between PHF20L1 and PRC2 or NuRD by GST pull-down assays with GST-fused PNID domain constructs and in vitrotranscribed/translated EZH2 and MTA1/2. (I) PHF20L1 has intrinsic transcription repressive activity. HEK293T cells were transfected with the indicated plasmids, and Gal4 luciferase reporter activity was measured. (J) Identification of the essential domains required for the transcriptional repressive activity of PHF20L1. The PHF20L1 deletions fused to the C terminus of Gal4 DNA binding domain were transfected into HEK293T cells, and Gal4 luciferase reporter activity was measured. (K) Effect of depletion of EZH2 or MTA1 on PHF20L1 repressive activity. HEK293T cells were transfected as indicated constructs along with siRNAs against EZH2 or MTA1 for 48 hours, and Gal4 luciferase reporter activity was measured. All error bars represent means SD of triplicate measurements that have been repeated three times with similar results. Two-tailed unpaired t test, *P < 0.05 (I to K).

To further address the role of PHF20L1 in the context of a multiprotein complex, we then performed pull-down experiments by incubating of His-fused PHF20L1 with in vitrotranscribed/translated individual components of PRC2 and the NuRD complex as indicated. These experiments indicate that PHF20L1 interacts with EZH2, MTA1, MTA2, and potentially HDAC1, but not MTA3 (Fig. 3D, left). Similarly, GST pull-down experiments with GST-fused components of PRC2/NuRD complex and in vitrotranscribed/translated PHF20L1 obtained similar results (Fig. 3D, right). Meanwhile, GST pull-down assays with GST-fused D1, D2, CXC, or the SET domain of EZH2 and in vitrotranscribed/translated PHF20L1 suggested that the D1 domain of EZH2 is responsible for the interaction between EZH2 and PHF20L1 (Fig. 3E). Similar experiments also showed that the Swi3-Ada2-N-CoR-TFIIIB (SANT) domains of MTA1/2 are responsible for the interaction between MTA1/2 and PHF20L1 (Fig. 3F). Moreover, GST pull-down assays showed that the GST-fused PHF20L1 PNID domain directly interacts with EZH2 and MTA1/2 in vitro (Fig. 3G), which is consistent with the aforementioned in vivo results. The PNID domain is a large domain with 500 amino acids. To elucidate the PRC2 and NuRD interacting region more precisely, we subdivided the PNID domain into five parts (named P1 to P5 for short). GST pull-down assays were performed with GST-fused segments, and in vitrotranscribed/translated EZH2, MTA1, and MTA2 showed that P2 and P5 are responsible for the interactions between PHF20L1 and MTA1/2 or EZH2, respectively (Fig. 3H). Therefore, P2 and P5 were named the NuRD-interacting domain (NID) and PRC2-interacting domain (PID). The results of Co-IP assays further substantiated that the NID and PID was corresponded for NuRD and PRC2 binding, respectively (fig. S2E). Collectively, these results indicate that PHF20L1 interacts with PRC2 and the NuRD complex through the PID and NID regions. The GST/His-fused proteins purified from BL21 E. coli are shown in fig. S2 (F to K).

The physical association between PHF20L1 and the PRC2-NuRD complex led us to hypothesize that PHF20L1 might be functionally involved in transcriptional repression. To verify our hypothesis, full-length PHF20L1 was fused to the C terminus of the Gal4 DNA binding domain (Gal4-PHF20L1), and the fused construct was expressed in HEK293T cells. A Gal4-driven luciferase reporter system containing five copies of the Gal4-binding sequence was used to test the transcriptional activity. The results revealed that the expression of Gal4-PHF20L1, but not FLAG-PHF20L1, leads to a significant reduction in expression of the reporter gene, in a dose-dependent manner (Fig. 3I), indicating that PHF20L1 exerts robust repressive activity. Since the PID and NID domain of PHF20L1 is responsible for interacting with PRC2 and the NuRD complex, we further investigated whether the PID or NID domain is essential for the transcriptional repression activity of PHF20L1. For this, we investigated the contribution of each PHF20L1 domain to its repressive transcriptional function. A series of Gal4 DNA-binding domain (Gal4-DBD) fused deletion constructs were generated, and the repressive activities of those constructs were monitored using Gal4 upstream activating sequence (UAS) luciferase reporter assays. Notably, deletion of the MBT, TUDOR, C-terminal, or PHD domain did not affect the repressive activity of PHF20L1, whereas the deletion of PNID resulted in a substantial reduction in the repressive transcriptional activity of PHF20L1 (fig. S2L). The results also showed that deletion of the P1, P3, or P4 region did not affect the transcriptional repressor activity of PHF20L1, whereas deletion of PID or NID resulted in a significant reduction in PHF20L1 transcriptional repressor activity (Fig. 3J). To determine whether PRC2 and NuRD activity are required for PHF20L1-mediated repression, we performed loss-of-function experiments with the Gal4 UAS luciferase reporter system. As shown, the KD of EZH2 and MTA1 led to a substantial reduction in the repressive transcriptional activity of PHF20L1 (Fig. 3K). Meanwhile, we measured reporter activity in HEK293T cells upon treatment with GSK126, a specific EZH2 inhibitor (29), and trichostatin A (TSA), a specific HDAC inhibitor (30). The results indicated that GSK126 or TSA treatment could almost completely alleviate the PHF20L1-mediated repression of reporter activity (fig. S2M), suggesting that PHF20L1-mediated repression requires the assistance of PRC2 and the NuRD complex. Together, these results suggest that PHF20L1 has intrinsic transcriptional repressor activity through coordinating with PRC2 and the NuRD complex.

The NuRD complex removes H3K27ac from certain target gene regions, facilitating PRC2 binding, and, subsequently, the catalysis of histone methylation on H3K27 (31). The findings that PHF20L1 is an H3K27me2 reader that interacts with PRC2 and the NuRD complex, prompted us to explore its function in chromosomal events and the underlying mechanism of transcriptional repression. First, we performed a series of ChIP sequencing (ChIP-seq) experiments, with specific antibodies against PHF20L1, EZH2, MTA1, H3K27me2, H3K27me3, and H3K27ac in normal or PHF20L1 KD MDA-MB-231 cells. We found that the enrichment of PHF20L1, EZH2, MTA1, H3K27me2, and H3K27me3 at the promoter region was substantially less than that of H3K27ac (Fig. 4A), suggesting that PHF20L1 might not share a large-scale chromatin region with H3K27ac. To further explore the relationship between PHF20L1 and two transcriptional repressor complexes in chromatin, we further analyzed ChIP-seq data. The characteristic genomic landscapes of EZH2, MTA1, H3K27me2, H3K27me3, and H3K27ac at PHF20L1-binding sites showed that these proteins were notably enriched in regions surrounding the PHF20L1 binding peaks except H3K27ac (Fig. 4, B and C), which was reported to be associated with enhanced activation of transcription (32).

(A) Genomic distribution of PHF20L1, EZH2, MTA1, H3K27me2, H3K27me3, and H3K27ac ChIP-seq peaks. (B and C) ChIP-seq density heatmaps and profiles of EZH2, MTA1, H3K27me2, H3K27me3, and H3K27ac on PHF20L1 binding regions. TSS, transcription start site. (D) The average occupancy of EZH2, MTA1, H3K27me2, H3K27me3, and H3K27ac along the transcription unit in normal and PHF20L1 KD MDA-MB-231 cells. TTS, transcription termination site. (E) Visualized peaks at representative loci using an integrative genomics viewer. (F and G) qChIP analysis using specific antibodies against PHF20L1, EZH2, MTA1, H3K27me2, H3K27me3, H3K27ac, and H3 were performed in control, PHF20L1 KD, and PHF20L1 KD MDA-MB-231 cells stably expressing shRNA-resistant PHF20L1 (represented as WTres), PHF20L1E98K, PHF20L1NID, or PHF20L1PID. ACTB served as control. (H) Western blotting analysis of EZH2 and MTA1 in cells as in (F and G). Data shown are means SD of triplicate measurements that have been repeated three times with similar results. Two-tailed unpaired t test, *P < 0.05 and **P < 0.01 (F and G).

We next sought to confirm that PHF20L1 is required for the chromatin recruitment of PRC2 and the NuRD complex. Consistent with our expectations, the analysis of ChIP-seq data showed that PHF20L1 loss of function led to a moderate reduction in EZH2, MTA1, H3K27me2, and H3K27me3 on chromatin, whereas the average genome-wide occupancy of H3K27ac was slightly increased (Fig. 4D). Genomic distributions and peak locations in PHF20L1 KD MDA-MB-231 cells also demonstrated that decreases in H3K27me2 and H3K27me3 levels were linked to increased H3K27ac levels in PHF20L1-occupied genes (Fig. 4E).

qChIP analyses were also performed using specific antibodies against PHF20L1, EZH2, MTA1, H3K27me2, H3K27me3, and H3K27ac at selected gene regions, including BRCA1, GATA binding protein 2 (GATA2), glutathione S-transferase mu 2 (GSTM2), hypermethylated in cancer 1 (HIC1), KiSS-1 metastasis suppressor (KiSS1), stathmin 3 (STMN3), villin like (VILL), and zinc finger protein 512B (ZNF512B). Consistent with ChIP-seq results, PHF20L1 KD significantly reduced the enrichment of PHF20L1, EZH2, MTA1, H3K27me2, and H3K27me3 on PHF20L1 target genes, whereas the enrichment of H3K27ac resulted in a noteworthy increase. Moreover, the KD of EZH2 or MTA1 also resulted in a similar trend (fig. S3, A and B). qRT-PCR and Western blotting analysis confirmed that KD of PHF20L1 does not result in the down-regulation of EZH2 or MTA1 expression (fig. S3C), suggesting that the decreased recruitment was not caused by changes in overall expression levels. To further explore whether TUDOR, NID, and PID domains are essential for the recruitment of PRC2 and NuRD to the targets promoters, rescue experiments were performed by ectopically expressing short hairpin RNA (shRNA)resistant WT PHF20L1 (WTres) or other mutants including E92K, PHF20L1 lacking the NID domain (NID), and PHF20L1 lacking PID domain (PID) in PHF20L1-depleted MDA-MB-231 cells. Then, qChIP assays were used to assess the occupancy of PHF20L1, EZH2 (representing PRC2), and MTA1 (representing the NuRD complex) at the indicated TSGs in Fig. 4F. Because of the loss of antibody recognition epitope, we could not conduct qChIP experiment stated above in MDA-MB-231 cells stably expressing shRNA-resistant PHF20L1NID. The results showed that the wild-type PHF20L1 could bind stably with the target promoters, and only the wild-type PHF20L1, but not the E92K, PHF20L1NID, or PHF20L1PID mutant, restored the recruitments of PRC2 and the NuRD complex caused by the depletion of PHF20L1 (Fig. 4F). At the same time, the related histone modifications H3K27me2, H3K27me3, and H3K27ac are also tested with the rescue experiments with the same design using qChIP assays. The results revealed that wild-type PHF20L1, but not the E92K, PHF20L1NID, or PHF20L1PID mutant, could reinstate the epigenetic changes caused by the depletion of PHF20L1 (Fig. 4G). These results showed that none of the mutants fully rescues PRC2 or NuRD binding and the modification status of the genes, indicating that the whole complex could only function if all parts are present. The Western blotting assays confirmed the KD or overexpression efficiency of PHF20L1 along with the mutations or deletions; moreover, the results also demonstrated that those experimental designs did not result in the change of EZH2 or MTA1s expression level (Fig. 4H). Together, these results suggest that the TUDOR domain, PID, and NID are critical for the transcriptional repressor activity of PHF20L1 through recognition of H3K27me2 to coordinate with PRC2 and the NuRD complex.

On the basis of the transcriptome sequencing analysis results and the role of PHF20L1 in tumor glycolytic processes, it was reasonable to postulate that PHF20L1 in association with PRC2 and NuRD plays a role in breast tumorigenesis. To this end, we first detected the protein expression profiles at different cell cycle stages synchronized using thymidine and found that PHF20L1, EZH2, and MTA1 were coexpressed in a cell cycledependent manner and are relatively abundant during the stages of DNA synthesis (fig. S4A, left). We further found that, compared with that in the control, the KD of PHF20L1 could notably block the cell cycle at the G1-S checkpoint (fig. S4A, right). To further explore the functional significance of PHF20L1 in breast cancer progression and metastasis, colony formation and transwell invasion assays were performed in PHF20L1-depleted MDA-MB-231 and Hs 578T cells, which were stably expressed shRNA-resistant PHF20L1 (WTres). We found that the KD of PHF20L1 notably decreased the colony number and invasive potential of MDA-MB-231 and Hs 578T cells but that the reexpression of shRNA-resistant PHF20L1 could reverse these effects (fig. S4, B to D). Together, these results indicate that PHF20L1 plays an important role in the development of breast cancer.

We demonstrated that the TUDOR, PID, and NID domains are critical for PHF20L1 to recognize H3K27me2 and recruit transcriptional repressor complexes. To explore the intrinsic function of each PHF20L1 domain, full-length PHF20L1 or MBT, TUDOR, PNID, PHD, and C-terminal deletion mutations were stably expressed in MDA-MB-231 cells, and growth curve experiments and transwell assays were performed. The results showed that deletion of the PNID or TUDOR domain could significantly reduce the ability of PHF20L1 to promote cell proliferation and invasion but that the PHD domain and C terminus of PHF20L1 were not required (fig. S4, E and F). Moreover, the rescue experiments were conducted as stated previously in Fig. 3 (F to H) for cell proliferation assays and transwell assays to further determine whether the H3K27me2 recognition function and the recruitment of PRC2 and the NuRD complex by PHF20L1 are essential for its carcinogenetic and metastatic promoting effects. We found that the expression of PHF20L1 WTres but not E92K, PHF20L1NID, or PHF20L1PID fully rescued the colony formation ability and invasive potential of PHF20L1 KD MDA-MB-231 and Hs 578T cells (Fig. 5, A to D), suggesting that both the recognition of H3K27me2 by the TUDOR domain and the recruitment of PRC2 and the NuRD complex by the PID and NID are important for the function of PHF20L1 in breast cancer cells. To further explore whether TUDOR, NID, and PID domains are necessary for transcriptional inhibitory activity of PHF20L1, rescue experiments were performed and confirmed that the up-regulation of TSGs and the down-regulation of GRGs caused by the depletion of PHF20L1 could be completely rescued by the ectopic expression of PHF20L1 WTres but not the E92K, PHF20L1NID, or PHF20L1PID mutants (Fig. 5E). These results suggested that the TUDOR, NID, and PID domains are required for PHF20L1 to function as a transcriptional repressor in breast cancer cells. To investigate the functional synergy between PRC2, NuRD, and PHF20L1, the KD of PHF20L1, together with EZH2 or MTA1 gain-of-function experiments, was performed in MDA-MB-231 cells. Colony formation assays and transwell assays results revealed that the KD of PHF20L1 notably decreased the proliferation and invasion of MDA-MB-231 cells, and this effect could hardly be rescued by the reexpression of EZH2 or MTA1 (fig. S4, G to I). These results indicate that the functions of EZH2 and MTA1 are dependent on the existence of PHF20L1. Since PHF20L1, PRC2, and the NuRD complex could act as a whole complex to exert transcriptional repression activity, we thus further investigated whether PRC2 and the NuRD complex also regulate the expression of PHF20L1 target genes. qRT-PCR and Western blotting analysis demonstrated that the KD of EZH2 or MTA1, respectively, in MDA-MB-231 cells could lead to increased expression of PHF20L1 target TSGs and the decreased expression of PHF20L1 target GRGs at the mRNA and protein level (fig. S4, J and K). These results support our arguments that PHF20L1 may play important roles in breast cancer by recruiting PRC2 and the NuRD complex to transcriptionally repress a range of TSGs including HIC1, KISS1, and BRCA1, thus synergizing the functions of PRC2 and NuRD.

(A) Colony formation assays were performed in control, PHF20L1 KD, and PHF20L1 KD MDA-MB-231 cells stably expressing shRNA-resistant PHF20L1 (represented as WTres), PHF20L1E98K, PHF20L1NID, or PHF20L1PID. (B) Colony formation assays were performed in control, PHF20L1 KD, and PHF20L1 KD Hs 578T cells stably expressing shRNA-resistant PHF20L1, PHF20L1E98K, PHF20L1NID, or PHF20L1PID. (C) Transwell invasion assays were performed in cells as in (A). IgG, immunoglobulin G. (D) Transwell invasion assays were performed in cells as in (B). Data shown are means SD. Two-tailed unpaired t test, *P < 0.05 and **P < 0.01 (A to D). (E) Western blotting analysis of the TSGs and GRGs in MDA-MB-231 cells as in (A). (F) MDA-MB-231 cells infected with lentiviruses carrying shControl, shPHF20L1, or stably expressing vector PHF20L1 were inoculated orthotopically into the abdominal mammary fat pads of 6-week-old female BALB/c nude mice (n = 5), and tumor volumes were measured weekly. Data shown are means SD. **P < 0.01 at the final day. (G) MDA-MB-231 cells stably expressing firefly luciferase were infected as in (F) then injected intravenously through the tail veins of 6-week-old female severe combined immunodeficient (SCID) mice (n = 6). Lung metastasis was monitored using bioluminescent imaging up to 7 weeks after injection. Representative in vivo bioluminescent images are shown. Data shown are means SD. Two-tailed unpaired t test, *P < 0.05. (H) Immunohistochemical (IHC) staining of PHF20L1, EZH2, MTA1, and HIC1 in breast carcinoma samples (histological grades I, II, and III) paired with adjacent normal mammary tissues. Representative images (original magnification, 200) are shown. (I) Scores of the stained sections from (H) were determined by Image-Pro Plus software and are presented with box plots. Boxes represent the 25th and 75th percentiles; lines represent the median, and whiskers show the minimum and maximum points. *P < 0.05, **P < 0.01, and ***P < 0.001 by one-way analysis of variance (ANOVA). (J) Immunohistochemistry results from (H) were used to analyze the correlation coefficient and P values as indicated. (K) Analysis of public datasets (GSE21653 and GSE27562) from breast cancer for the correlation of MYC, HIF1A, HIC1, KISS1, and PHF20L1. (L) The proposed model for the MYC/HIF1-(PHF20L1-PRC2-NuRD)-HIC1/KISS1 axis in breast carcinogenesis. Photo credit: Yongqiang Hou, Tianjin Medical University.

To further establish the role of PHF20L1 in breast carcinogenesis in vivo, we first examined how PHF20L1 loss of function affects the growth of tumors developed from MDA-MB-231 cells in a mouse model. MDA-MB-231 cells infected with lentiviruses carrying shPHF20L1 or corresponding shControl were transplanted into the abdominal mammary fat pad of athymic BALB/c female mice (n = 5). The tumors were measured weekly to assess proliferation. As shown, PHF20L1 KD was associated with a notable decrease in the growth of primary MDA-MB-231 tumors (Fig. 5F, top). Furthermore, MDA-MB-231 cells stably expressing PHF20L1 were transplanted into the abdominal mammary fat pad of athymic BALB/c female mice (n = 5). Results showed that PHF20L1 overexpression could substantially promote breast cancer tumor growth (Fig. 5F, bottom). To assess the function of PHF20L1 in tumor metastasis, MDA-MB-231 cells stably expressing firefly luciferase were infected with lentiviruses carrying shPHF20L1, FLAG-PHF20L1, and the corresponding control; then, the cells were intravenously injected into immunocompromised severe combined immunodeficient (SCID) female mice (n = 6). Metastatic tumors were measured by quantitative bioluminescence imaging after 7 weeks using an IVIS imaging system (Xenogen). We found that PHF20L1 deficiency significantly reduced breast cancer cells lung metastasis in vivo, whereas the overexpression of PHF20L1 could promote lung metastasis (Fig. 5G). Together, these results support the notion that PHF20L1 cooperates with PRC2 and the NuRD complex to promote breast carcinogenesis.

To confirm the clinicopathological relevance of the MYC/HIF1(PHF20L1-EZH2-MTA1)HIC1/KISS1 axis in breast cancer, we collected 176 breast carcinoma samples and analyzed the expression profiles of PHF20L1, EZH2, MTA1, and HIC1 by immunohistochemical (IHC) staining. Notably, IHC analysis using Image-Pro Plus software showed that the expression of PHF20L1, EZH2, and MTA1 was concurrently up-regulated and appeared to be positively correlated with histological grades, whereas the expression of HIC1 was down-regulated and negatively correlated with histological grades or the expression of PHF20L1, EZH2, and MTA1 (Fig. 5, H to J). In addition, to gain a deeper understanding of the role of PHF20L1 in breast cancer progression, analysis of two published clinical datasets (GSE21653 and GSE27562) showed that the expression level of PHF20L1 is positively correlated with the expression of MYC, HIF1A, EZH2, MTA1, SIRT1, and LDHA while negatively correlated with the expression of HIC1 and KISS1 (Fig. 5K and fig. S5A). To further extend our observations on clinical relevance, we analyzed Kaplan-Meier plots based on PHF20L1, EZH2, MTA1, and HIC1 in breast cancer. As shown in fig. S5B, higher PHF20L1 expression is associated with worse overall survival for patients with breast cancer. Consistently, high expression levels of EZH2 and MTA1 were also associated with poor prognosis, whereas patients with high HIC1 expression had longer survival times. To explore whether the oncogenic effect of PHF20L1 also exists in other kind of cancers, we collected several carcinoma samples and performed tissue microarrays, followed by IHC staining to examine the expression of PHF20L1. At least six samples paired with adjacent normal tissues were used. The results showed that in addition to that in breast cancer, PHF20L1 is also progressively increased in lymphoma, cerebral cancer, esophageal cancer, prostate cancer, and pancreatic cancer (fig. S5C). In addition, the analysis of published lymphoma clinical datasets (GSE132929) and glioma datasets (GSE51062) also showed that the expression level of PHF20L1 is positively correlated with the expression of MYC, HIF1A, EZH2, MTA1, SIRT1, and LDHA while negatively correlated with the expression of HIC1 or KISS1 (fig. S5D). Together, these data support our overall hypothesis that PHF20L1 as an H3K27me2 reader could cooperate with the PRC2/NuRD complex to inhibit the expression of TSGs such as HIC1 and KISS1, participating in MYC and hypoxia signaling and leading to tumor progression (Fig. 5L).

Although our previous work herein confirmed the important role of PHF20L1 in breast cancer cells, its intrinsic role in vivo remained unknown. To further investigate the core function of PHF20L1 in vivo, we first established Phf20l1 knockout (KO) mice using CRISPR/Cas9-mediated genome editing (fig. S6A). Genotyping of offspring revealed that Phf20l1-null mice were viable; although embryonic death were observed in a small number of mice, the proportions of genotypes in newborn mice were not notably different in accordance with Mendels law of inheritance. However, unexpectedly, some Phf20l1 KO homozygous embryos and individuals exhibited growth retardation (Fig. 6A). We further tracked the growth and development of these mice after birth. Statistical analysis showed that Phf20l1-null mice exhibited marked growth retardation. Moreover, body weight statistics revealed that Phf20l1 KO mice of the same age weighed significantly less than wild type. With age, the weight differences gradually diminished (fig. S6B). In addition, further analysis results showed that, compared to that in wild-type mice, the reproductive age of Phf20l1-null mice was significantly delayed, and these animals exhibited lower fertility (Fig. 6B).

(A) Uterine tissue excised from a pregnant female at 17.5 days post coitum (left). Phf20l1 KO adults are smaller than normal at about 4 weeks old (right). E17.5, embryonic day 17.5. (B) Phf20l1-null mice has delayed reproductive age and exhibited lower fertility. (C) The expression profiles of indicated GRGs were measured using IHC staining in littermate embryos. (D) Mammary ductal developmental defects in Phf20l1 CKO mice (represented as Phf20l1f/f; MMTV-Cre) at about 6 weeks old. (E) IHC staining of cyclin D1 and Ki67 in mammary glands of 6-week-old control and Phf20l1-null mice. (F) Representative bright-field imaging of mammary adenocarcinoma from MMTV-PyVT; Phf20l1f/f; MMTV-Cre (represented as MMTV-PyVT; Phf20l1 CKO) and MMTV-PyVT; Phf20l1+/+; MMTV-Cre (represented as MMTV-PyVT; Phf20l1 WT) mice. The circles indicate surface tumors. The biggest tumors of 110-day-old mice were obtained and calculated (n = 6). (G) IHC staining of Ki67 and cyclin D1 in mammary tumors isolated from MMTV-PyVT; Phf20l1 CKO and MMTV-PyVT; Phf20l1 WT mice. Data shown are means SD. Two-tailed unpaired t test, *P < 0.05 and **P < 0.01 (D to G). (H) Mammary adenocarcinoma incidence in MMTV-PyVT; Phf20l1 WT (n = 10) and MMTV-PyVT; Phf20l1 CKO (n = 16) mice depicted as the percentage of tumor-free mice. Mice were considered to be tumor free until a palpable mass (>4.0 mm) persisted for longer than 4 days. Log-rank test was used. (I) Overall survival analysis of the MMTV-PyVT; Phf20l1 WT (n = 9), MMTV-PyVT; Phf20l1 CKO (n = 8) mice, log-rank test. Photo credit: Yongqiang Hou, Tianjin Medical University.

Since we have shown that PHF20L1, as a MYC/HIF1-driven oncogene, could regulate the expression of GRGs and glycolysis process in breast cancer cells, we tested whether the expression levels of these genes were also changed in Phf20l1-null mice. First, the results of IHC staining with the littermate embryos at day 17.5 of gestation showed that the expression levels of GRGs such as Sirt1, Ldha, and Pgk1 were indeed down-regulated in Phf20l1-null mice (Fig. 6C). By detecting the mRNA levels of target genes in major organs of 4-week-old Phf20l1-null mice compared to those in wild-type mice, we found that the expression levels of GRGs such as Sirt1, Ldha, Pgk1, and Gapdh were down-regulated in the liver, spleen, and kidney (fig. S6C). Together, these results further indicate that a series of GRGs is indeed down-regulated in Phf20l1-null mice, which might contribute to growth retardation.

Next, we investigated the physiological role of PHF20L1 in mammary gland development with the Phf20l1 KO mice. The results showed that Phf20l1 deletion induced notable mammary ductal outgrowth delay. However, the KO mice were smaller than the wild-type mice (fig. S6D). To exclude the effects of differences in body weights and sizes, we generated Phf20l1 conditional knockout (CKO) mice, by crossed mice bearing floxed Phf20l1 with MMTV-Cre mice in which Cre expression was driven by the mouse mammary tumor virus promoter (MMTV-Cre) (fig. S6E). Compared to Phf20+/+; MMTV-Cre mice, virgin Phf20l1flox/flox; MMTV-Cre (Phf20l1f/f; MMTV-Cre) mice also showed a phenotype with mammary ductal outgrowth delay, whereas these animals appeared normal and did not differ from wild-type mice with respect to bodyweight. Furthermore, the results of qRT-PCR assays validated that the Phf20l1s deletion occurs in the mammary epithelium (Fig. 6D). The observation of these small but otherwise normal mammary glands revealed that Phf20l1 deficiency suppressed mammary ductal growth during puberty. Furthermore, we confirmed that the deletion of Phf20l1 could significantly reduce the number of proliferative cells in virgin mice based on IHC staining for cyclin D1 and Ki67 (Fig. 6E). Together, our findings indicate that Phf20l1 deletion contributes to the down-regulation of GRGs and growth retardation, especially delaying mammary ductal outgrowth.

To unravel the pathological roles of PHF20L1 in breast cancer in vivo, we crossed Phf20l1f/f; MMTV-Cre (Phf20l1 CKO) or WT mice with MMTVpolyoma virus middle T (PyVT) transgenic mice, respectively. The results showed that the volumes of the tumors from MMTV-PyVT; Phf20l1f/f; MMTV-Cre (represented as MMTV-PyVT; Phf20l1 CKO) mice were notably smaller than those of MMTV-PyVT; Phf20l1+/+; MMTV-Cre (represented as MMTV-PyVT; Phf20l1 WT) control mice (Fig. 6F). Compared to those in breast cancer tissues of control mice, decreased cyclin D1 and Ki67 protein levels were observed in tumors of MMTV-PyVT; Phf20l1 CKO mice (Fig. 6G). In addition, all MMTV-PyVT; Phf20l1 WT mice spontaneously developed breast tumors at 77 to 138 days after birth. Notably, the earliest tumor lumps in MMTV-PyVT; Phf20l1 CKO mice appeared at 100 days (Fig. 6H). The survival analysis revealed that genetic ablation of Phf20l1 resulted in a markedly prolonged survival (Fig. 6I). Together, these results demonstrated that PHF20L1 inhibits tumorigenesis in vivo and is a potential oncogene for breast cancer.

Our results identify that PHF20L1 is a reader for H3K27me2, which is predominantly recognized by the TUDOR domain, and links PRC2-mediated methylation and NuRD-mediated deacetylation to repress gene expression. PHF20L1 has three classical domains, namely MBT, TUDOR, and PHD. On the basis of in vitro studies, the isolated MBT domain preferentially binds mono- or dimethylated histones but not trimethylated or unmethylated histone peptides (33). Most TDRDs recognize a variety of histone methylations. For example, the tandem-TUDOR domain of JMJD2 family proteins (JMJD2A, JMJD2B, and JMJD2C) is able to read H3K4me3 or H4K20me3 (34). Most of the PHD fingers recognize the methylation of H3K4 and the partial methylation state of H3R2 and H4R3 (35). Several studies have shown that the MBT domain of PHF20L1 binds nonhistone methylation sites instead of binding to methylated histones (9). However, we found that isolated MBT and PHD domain of PHF20L1 demonstrates no specific binding to a modified histone peptide array, while the TUDOR domain exhibited strong specificity for binding to H3K27me2 but not to other histone modifications. It is reported that the second TUDOR domain of PHF20 binds dimethylated peptides derived from the H3 and H4 histone tails, including H3K27me2; although PHF20 could bind dimethylated peptides, it exhibited a preference for peptides containing H3K36me2 than H3K27me2, H3K9me2, H4K20me2, and H3K79me2 (36). Moreover, PHF20L1 and PHF20 share analogous domains, but PHF20L1 preferentially mediates transcriptional repression, while PHF20 mediates transcriptional activation. Their functional similarity and differences as well as the potential molecular mechanisms need to be further studied. Collectively, combined with other studies, our view is that the MBT domain of PHF20L1 might be more likely to bind nonhistone binding sites, whereas the TUDOR domain allows PHF20L1 to participate in chromatin events. However, the ligands of the PHF20L1 PHD domain are still unknown, and this requires further investigation.

Our results confirmed that the TUDOR domain of PHF20L1 recognizes H3K27me2, while the H3S28p impairs the binding of PHF20L1 TUDOR to H3K27me2. It was reported that H3S28 phosphorylation blocks the deposition of PRC2 and exerts a strong transcriptional activation signal (28, 37), further supporting our notion that PHF20L1 has transcriptional inhibitory activity. In addition, ITC and SPR experiments showed that the PHF20L1 TUDOR domains also have the slight ability to bind H3K27me3 (Fig. 2, F and G), considering that the depletion of PHF20L1 reduced not only H3K27me2 but also H3K27me3 at PHF20L1-occupied genes, we conclude that PHF20L1 is essential to maintain a microenvironment of transcriptional repression at the H3K27 site.

PRC2 and the NuRD complex could coexist in specific gene regions to govern the transcription of related genes during embryonic development, and the NuRD complex is mainly responsible for removing histone acetylation, whereas PRC2 can catalyze di- or trimethylation on H3K27 (20). We showed that in breast cancer, PHF20L1 inhibits the transcription of target genes by coordinating with the PRC2/NuRD complex on H3K27me2 enrichment gene regions, bridging histone cross-talk between methylation and deacetylation at H3K27. Our series of ChIP-seq results showed that KD of PHF20L1 could cause a relatively mild but sufficiently clear change in the modifications of H3K27 site. We further validated the changes using qChIP experiments on the promoters of the target genes. The results suggested that PHF20L1 KD could notably reduce the occupancy of PRC2 and the NuRD complex at target gene promoters and lead to decreased H3K27me2/3 and increased H3K27ac levels at the corresponding regions. We suspect that, as a reader protein, PHF20L1 is not able to write or erase epigenetic modifications directly, thus regulating epigenetic markers in a quite modest manner. Moreover, our further work will focus on the intrinsic links among PHF20L1, PRC2, and NuRD during the regulation of H3K27 modifications.

TSGs refer to those for which loss of function contributes to the malignant phenotype, whereas oncogene expression promotes cancerous phenotypes (23). HIC1 is an epigenetically regulated tumor suppressor that forms a transcriptional repressive complex with SIRT1 deacetylase binding the SIRT1 promoter and repressing its transcription (38). HIC1 could participate in tumor metabolism, especially the glycolytic process, through the HIC-SIRT1-TP53 axis (39). There are also other tumor suppressors such as tumor protein p53 (TP53), phosphatase and tensin homolog (PTEN), BRCA1, KISS1 that could cause metabolic reprogramming, especially lowering glycolysis levels to inhibit tumorigenesis (4042). Combined with ChIP-seq and RNA-seq analysis, we identified many TSGs that were inhibited by the PHF20L1/PRC2/NuRD complex, from which we selected HIC1, KISS1, and BRCA1 for further validation at the mRNA and protein level. RNA-seq analysis also showed that PHF20L1 KD causes the significant down-regulation of SIRT1, which further supports a mechanism whereby PHF20L1 directly inhibits HIC1 expression. Although the mechanism through which HIC1, KISS1, and BRCA1 inhibit the Warburg effect is relatively clear, the effect of other PHF20L1 target TSGs on glycolysis requires further clarification.

HIF1 is a key regulator of the Warburg effect and transcriptionally activates the expression of the majority of GRGs by binding hypoxia-responsive elements of glycolytic gene promoters (25). The overexpression or hyperactivation of MYC, a helix-loop-helix leucine zipper transcription factor, is one of the most common drivers of human cancer, and MYC also directly transactivates GRGs and stimulates aerobic glycolysis (24). Although the role of HIF1 and MYC in various cancers has become increasingly apparent, there are still many challenges regarding their application as drug targets in clinical practice. RNA-seq followed by GSEA analysis and subsequent experiments revealed that PHF20L1 is a downstream component of the MYC, and hypoxia signaling pathway and overexpression of PHF20L1, to a certain extent, could obviously promote glycolysis in breast cancer cells. Given the central roles of PHF20L1 in coordinating the function of the PRC2/NuRD complex and participating in the MYC/hypoxia signaling pathway, it could be a potential drug target for breast cancer.

Our results revealed that PHF20L1 is significantly up-regulated in breast cancer and that its expression appears to be positively associated with histological grades. However, the correlation between PHF20L1 and the molecular pathological subtypes including the luminal, HER2-positive, and basal-like breast cancer requires further investigation. Moreover, compared to levels in adjacent normal tissues, PHF20L1 was also found to be notably overexpressed in lymphoma, cerebrum cancer, esophageal cancer, prostate cancer, and pancreatic cancer, but significant up-regulation was not observed in some cancers such as lung cancer and cervical cancer. Therefore, we speculated that PHF20L1 might have tissue-specific expression patterns in different tumors. At present, we know little about PHF20L1, and the physiological and pathological functions of PHF20L1 in other tissues need to be further studied.

Suz12-, Eed-, or Ezh2-deficient mice are not viable and die during early implantation stages (43); meanwhile, PRC2 was reported to be essential for the development of the mammary gland (44). Further, Mta1 CKOs cause inappropriate mammary gland development (45). We showed that Phf20l1-deficient mice are viable but exhibit mammary ductal outgrowth delay. Badeaux et al. (46) reported that without Phf20, some mice died after birth, while surviving mice were notably smaller than wild-type mice, which is similar to the phenotype of Phf20l1 KO mice. PHF20 was reported to recognize histone H3K4me2 via its PHD finger and participates in transcriptional activation through interaction with MOF, while we found that PHF20L1 as a H3K27me2 reader coordinates with the PRC2/NuRD complex to mediate transcriptional inhibition. The epigenetic mechanistic difference between PHF20 and PHF20L1 has yet to be determined and needs to be studied in the future.

In summary, our findings indicate that PHF20L1, a H3K27me2 recognition protein that is characterized by its TUDOR domain, serves as a potential MYC and hypoxia-driven oncogene and plays a vital role in transcriptional repression by coordinating with PRC2 and the NuRD complex to repress several tumor suppressors such as HIC1, KISS1, and BRCA1, thus up-regulating the GRGs, leading to Warburg effect and tumor progression. Moreover, Phf20l1 deletion induces growth retardation and mammary ductal outgrowth delay and inhibits tumorigenesis in vivo. These findings support the pursuit of PHF20L1 as a potential therapeutic target of breast cancer.

The sources of antibodies against the following proteins were as follows: FLAG (F1408, IP; 1:10,000 for WB), PHF20L1 (HPA028417; IP; ChIP; 1:500 for WB and 1:100 for IHC), HDAC1 (H3284; 1:10,000 for WB), HDAC2 (H3159; 1:10,000 for WB), EZH2 (AV38470; 1:1,000 for WB), RbAp46/48 (R3779; 1:1000 for WB), and actin (A1978; 1:10,000 for WB) from Sigma-Aldrich; Mi-2 (sc-11378x; 1:500 for WB), SIN3A (sc-994; 1:1000 for WB), MBD3 (sc-271521; 1:1000 for WB), KISS1 (sc-101246; 1:500 for WB), HIC1 (sc-271499; 1:500 for WB), cyclin E (sc-247; 1:1000 for WB), cyclin D1 (sc-450; 1:1000 for WB), and m-IgGk BP-HRP (horse radish peroxidase) (sc-516102; 1:5,000 for WB) from Santa Cruz Biotechnology; H3 (ab1791; ChIP; 1:10,000 for WB); MTA2 (ab50209; 1:1000 for WB), LDHA (ab101562; 1:1000 for WB), BRCA1 (9010; 1:500 for WB), PGK2 (ab38007; 1:1000 for WB), MYC (ab32072; ChIP; 1:1000 for WB), and HIF1 (ab1; ChIP; 1:500 for WB) from Abcam; SUZ12 (3737s; 1:1000 for WB); MTA1 (5647/5647s; IP; ChIP; 1:1000 for WB), and cyclin D1 (55506; 1:200 for IHC) from Cell Signaling Technology; EED (GTX628007; 1:500 for WB) from GeneTeX; H3K27me1 (07-448; ChIP), H3K27me2 (07-452; ChIP), H3K27me3 (07-449; ChIP), and H3K27ac (07-360; ChIP) were purchased from Millipore; and GST (27457701v; 1:5000 for WB) from GE Healthcare Life Sciences. The histone tail peptides were purchased from Scilight-Peptide (Beijing, China). Protein A/G, Sepharose CL-4B beads were purchased from Amersham Biosciences, and the protease inhibitor mixture cocktail was purchased from Roche Applied Science. The siRNAs and shRNAs of PHF20L1 were purchased from Sigma-Aldrich. siRNAs and shRNAs of the other genes were obtained from GenePharma (Shanghai, China).

We thank S. Pradhan (New England Biolabs) for providing the FLAG-tagged PHF20L1 plasmid, and plasmids containing complementary DNA (cDNA) of MTA1, EZH2, and PHF20 were purchased from Open Biosystems. cDNAs were cloned into pLVX-Tight-Puro (Addgene), p3 FLAG-CMV-10 (Addgene), pCMV-Tag 2B (Addgene), pcDNA3.1-A (Addgene), pET-30a (+) (Addgene), and pGEX GST-fusion plasmids (GE Life Science). Deletion and mutation were introduced by PCR and site-directed mutagenesis using Mut Express MultiS Fast Mutagenesis Kit V2 (Vazyme). All plasmids used were confirmed by sequencing.

All cell lines were obtained from the American Type Culture Collection. HEK293T and Hs 578T cells were maintained in Dulbeccos modified Eagles medium (DMEM) supplemented with 10% fetal bovine serum (FBS). Cells were maintained in a humidified incubator equilibrated with 5% CO2 at 37C. MDA-MB-231 cells were cultured in L-15 medium supplemented with 10% FBS and without CO2. Transfections were performed using Lipofectamine 2000 or Lipofectamine RNAiMAX Reagent (Invitrogen, Carlsbad, CA) according to the manufacturers instructions. Each experiment was performed in triplicate and repeated at least three times. For RNA interference experiments, at least two independent siRNA sequences were tested for each gene, and the details of siRNA sequences covered in this article are available in table S3.

Total RNA was isolated from samples using TRIzol reagent following the manufacturers instructions (Invitrogen). Potential DNA contamination was removed using a ribonuclease-free DNase treatment (Promega). cDNA was prepared using the MMLV Reverse Transcriptase (Fermentas). Relative quantitation was performed using the ABI PRISM 7500 System (Applied Biosystems), which measures real-time SYBR Green fluorescence. Quantitation was then performed using the comparative Ct method (2Ct) with the expression of ACTB (-actin) as an internal control. The primers used are listed as the following in table S4. For RNA-seq analysis, total RNA was extracted, and three biological replicates were prepared. RNA-seq samples were sequenced using Illumina NextSeq 500. Raw reads were mapped to the human reference genome (hg19). The TopHat2 package was used to analyze the transcriptome, and htseq-count v0.6.0 was used to quantize transcript abundances. Differentially expressed genes were determined using DESeq2. Genes with a fold change of 1.5 and P value of <0.001 were selected as differential genes, and raw data are available on http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE128232.

A modified histone peptide array (Active Motif) was used for MBT, TUDOR, or PHD domain binding detection. A modified protein domain kit and an analysis software (Active Motif) were used in accordance with the manufacturers instructions. Peptide pull-down assays were performed. Briefly, biotinylated peptides (20 mg) were immobilized on 10 ml of streptavidin beads (Sigma, St. Louis, MO, USA) in 200 ml of binding buffer [50 mM tris-HCl (pH 7.5), 15 mM NaCl, 1 mM EDTA, 2 mM dithiothreitol, and 0.5% NP-40] at 4C. The next day, the beads were washed three times with binding buffer and then incubated with 25 mg of GST fusion protein or FLAG-tagged protein for 2.5 hours with rotation at 4C. After five washes with the binding buffer, the beads were boiled in protein loading buffer, and the resulting proteins were fractionated using 10% SDS-PAGE and subjected to Western blotting analysis using an anti-GST or FLAG antibody. The modified histone peptide arrays were analyzed using Active Motifs Array Analyze software. The software can analyze the spot intensity of the interactions.

ITC experiments were performed using an Affinity ITC system (TA Instruments). Briefly, the synthesized peptides (>98% purity) and purified proteins were all subjected to extensive dialysis against 100 mM NaCl and 25 mM tris (pH 7.5). Protein concentration was measured using a BCA Pierce protein assay kit (Thermo Fisher Scientific). Peptides at concentrations of 1.0 mM were loaded into the ITC syringe, and PHF20L1 TUDOR at a concentration of 0.1 mM was loaded into the ITC cell. Each titration consisted of 20 successive injections at 25C. The binding isotherm results were analyzed using NanoAnalyze Software (TA Instruments).

SPR experiments were performed using a Biacore T200 (GE Healthcare). All SPR-based materials were purchased from GE Healthcare. Biotin peptides and Scilight-Peptide (Beijing, China) were diluted in HEPES buffered saline-EP (HBS-EP; GE Healthcare) and immobilized on an SA chip. Approximately 600 resonance units (RU) of the immobilized peptides were obtained. Interaction analyses were tested using HBS-EP as a running buffer. Increasing concentrations of PHF20L1 TUDOR (0.2, 0.4, 0.8, 1.6, 3.2, and 6.4 ) were injected using the Kinetics/Affinity program. A flow cell without immobilized peptide served as a nonspecific binding control. The SA chip surface was regenerated after each cycle by injecting 10 mM NaOH for 30 s. Ka, Kd, and KD were determined using the Kinetics model in the Biacore T200 evaluation software version 2.0.

Immunopurification assays were performed as described previously (47). Briefly, a FLAG-tagged PHF20L1 plasmid was transfected into HEK293T cells, which were harvested 48 hours later. Anti-FLAG immune affinity columns were prepared using anti-FLAG M2 affinity gel (Sigma) following the manufacturers suggestions. Cell lysates were obtained from about 5 108 cells and applied to an equilibrated FLAG column of 1-ml bed volume to allow for the adsorption of the protein complex to the column resin. After binding, the column was washed with cold BC500 buffer containing 50 mM tris, 2 mM EDTA, 500 mM KCl, 10% glycerol, and protease inhibitors. FLAG peptide (0.2 mg/ml; Sigma-Aldrich) was applied to the column to elute the FLAG protein complex, as described by the vendor. Fractions of the bed volume were collected and resolved on SDSpolyacrylamide gel, silver-stained, and subjected to liquid chromatographytandem mass spectrometry sequencing and data analysis.

For immunoprecipitation assays, cells were washed with cold phosphate-buffered saline (PBS) and lysed with cold lysis buffer at 4C for 30 min. A total of 500 g of cellular extracts was incubated with appropriate primary antibodies or normal rabbit/mouse immunoglobin G (IgG) on a rotator at 4C overnight, followed by the addition of protein A/G Sepharose CL-4B beads for 2 hours at 4C. Beads were then washed five times with lysis buffer [50 mM tris-Cl (pH 7.4), 150 mM NaCl, 1 mM EDTA, 1% NP-40, 0.25% sodium deoxycholate, and a protease inhibitor mixture]. The immune complexes were subjected to SDS-PAGE followed by immunoblotting with secondary antibodies. Immunodetection was performed using enhanced chemiluminescence (ECL System, Thermo Scientific) according to the manufacturers instructions.

GST/His-fused constructs were expressed in BL21 E. coli. In vitro transcription and translation experiments were performed using rabbit reticulocyte lysate (TNT systems, Promega) according to the manufacturers recommendation. In GST/His pull-down assays, about 5 g of the appropriate GST/His fusion proteins with 30 l of glutathione-Sepharose or Ni beads was incubated with 5 to 8 l of the in vitrotranscribed/translated products in binding buffer [75 mM NaCl and 50 mM Hepes (pH 7.9)] at 4C for 2 hours in the presence of the protease inhibitor mixture. The beads were washed five times with binding buffer, resuspended in 30 l of 2 SDS-PAGE loading buffer, and detected by Western blotting.

Luciferase activity was measured using a dual luciferase kit (Promega, Madison, WI) according to the manufacturers protocol. Each experiment was performed in triplicate and repeated at least three times.

Normal cells or PHF20L1-depleted MDA-MB-231 cells were maintained in DMEM supplemented with 10% FBS. Approximately 5 107 cells were used for each ChIP-seq assay. The chromatin DNA precipitated by polyclonal antibodies against PHF20L1, EZH2, MTA1, H3K27me2, H3K27me3, or H3K27ac. The DNA was purified with a Qiagen PCR purification kit, and a Vazyme TruePrep DNA Library Prep Kit V2 for Illumina (Vazyme Biotech) was used for DNA library construction. In-depth whole genome DNA sequencing was performed by the Annoroad, Beijing. The raw sequencing image data were examined using the Illumina analysis pipeline, aligned to the unmasked human reference genome (hg19) using ELAND (Illumina), and further analyzed by MACS. Enriched binding peaks were generated after filtering through the input data. The ChIP-seq peak distribution statistics were performed using the Cis-regulatory element annotation system. All ChIP-seq data are available on http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE128231. Eluted DNA was purified using a PCR purification kit (QIAGEN), and qChIPs were performed using the TransStart Top Green qPCR Supermix (TransGen Biotech) by quantitative real-time PCR on the ABI 7500-FAST System. The qChIP PCR primers are available in table S4.

The ECAR was measured using the Seahorse XF24 Extracellular Flux Analyzer (Seahorse Bioscience). Experiments were performed according to the manufacturers instructions. ECAR was measured using a Seahorse XF Glycolysis Stress Test Kit (Agilent Technologies).

MDA-MB-231 cells were treated as indicated, and the cells were maintained in culture media for about 14 days and then stained with crystal violet.

Transwell chamber filters (Chemicon Incorporation) were coated with Matrigel. Cells were suspended in serum-free DMEM at a concentration of 5.0 105 cells/ml, and 300 l of the cell suspension was placed in the upper chamber of the transwell. The chamber was transferred to a well containing 500 l of media that included 10% FBS. Cells were incubated for 36 hours at 37C. Cells in the top well were removed by wiping the top of the membrane using a cotton swab. The membranes were then stained, and the remaining cells were counted. Four high-powered fields were counted for each membrane.

MDA-MB-231 cells were infected with indicated lentiviruses, and 5 106 viable cells in 100 ml PBS were injected subcutaneously into 6-week-old BALB/c nude mice (Vital River Laboratories, Beijing, China). Female nude mice (n = 5) were used in each experiment. Tumors were measured every 7 days using a vernier caliper, and the volume was calculated according to the formula: 1/2 length square width.

MDA-MB-231 cells stably expressing firefly luciferase (Xenogen) were infected with indicated lentiviruses, and 2 106 cells were injected into the lateral tail vein of 6-week-old female SCID mice. For bioluminescence imaging, mice were injected abdominally with 200 mg/g of d-luciferin in PBS. Fifteen minutes after injection, mice were anesthetized, and bioluminescence was imaged with a charge-coupled device camera (IVIS, Xenogen). Bioluminescence images were obtained with a 15-cm field of view, a binning (resolution) factor of 8, 1/f stop, open filter, and imaging time of 30 s to 2 min. Bioluminescence from the relative optical intensity was defined manually. Photon flux was normalized to background, which was defined from a relative optical intensity drawn over a mouse not administered an injection of luciferin.

The Phf20l1 KO and CKO mouse models were generated by Shanghai Model Orgnaisms Center Inc. Strategies of Phf20l1 KO and CKO mouse model were illustrated in fig. S6 (A and D). To obtain MMTV-PyVT; Phf20l1flox/flox; MMTV-Cre female mice, MMTV-PyVT (mouse mammary tumor viruspolyoma virus middle T antigen) transgenic male mice were crossed with Phf20l1flox/flox; MMTV-Cre female mice, and the tail DNA was analyzed by PCR to determine the mouse genotype. All mice studies were approved by the Ethical Committee of Tianjin Medical University (permit number: SYXK 2009-0001).

Embryonic day 17.5 (E17.5) embryos, mouse mammary glands, or samples from adjacent normal tissues of pathological grade I, II, and III were fixed in 10% neutral-buffered formalin overnight, then processed, paraffin-embedded, sectioned, and stained with hematoxylin and eosin according to a standard protocol. For IHC staining, 6-m sample sections were incubated with primary antibodies overnight at 4C in a humidified chamber, followed by incubation with the HRP-conjugated secondary antibodies for 2 hours. Staining was completed by 5- to 10-min incubation with diaminobenzidine substrate, which results in a brown-colored precipitate at the antigen site.

Mammary glands were harvested and fixed in Carnoys solution (6:3:1 of 100% ethanol, chloroform, and glacial acetic acid) and stained with carmine alum. The extent of ductal outgrowth was measured on whole inguinal mounts as the distance from the center of the lymph node to the leading edge of the ductal mass.

Results were reported as means SD for triplicate experiments unless otherwise noted. SPSS version 17.0 and two-tailed unpaired t tests were used for statistical analysis. The correlation coefficients were calculated using Cor function of the R programming software. Datasets were downloaded from http://www.ncbi.nlm.nih.gov/geo (Ivhsina; Gene Expression Omnibus: GSE21653, GES27562, GSE132929, and GSE51062). Data for the Kaplan-Meier survival analysis were from http://kmplot.com/analysis/index.php?p=service&cancer=breast.

Acknowledgments: Funding: This work was supported by grants from the Major State Basic Research Development Program of China (grant number 2016YFA0102400 to Y.W.) and National Natural Science Foundation of China (grant numbers 81773017 and 41931291 to Y. W.); Author contributions: Y.H. and Y.W. conceived this project. Y.H., W.L., D.S., X.Y., W.H., Yang Yang, Ying Yang, W.F., T.Z., and K.Z. mainly conducted experiments. Y.H., D.S., W.H., J.G., H.Y., X.T., R.Q., and K.Z. acquired data. Y.H., D.S., and Y.W. analyzed data. Y.H., D.S., W.H., and Y.W. wrote the manuscript. Competing interests: The authors declare that they have no competing interests. Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. For the RNA-seq and ChIP-seq data, they can be found at the Gene Expression Omnibus database under accession numbers GSE128231 and GSE128232. Additional data related to this paper may be requested from the authors.

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PHF20L1 as a H3K27me2 reader coordinates with transcriptional repressors to promote breast tumorigenesis - Science Advances

First COVID-19 patient in Texas enrolled in UTHealth stem cell therapy study at Memorial Hermann – Community Impact Newspaper

The first COVID-19 patient in Texas has been enrolled in a stem cell therapy clinical trial designed to combat acute respiratory distress syndrome. (Courtesy Pexels)

The patient received the stem cell procedure April 16 at Memorial Hermann-Texas Medical Center, according to a news release from UTHealth. The patient joins 120 total patients as part of the study, in which participants are randomized to receive either allogeneic, bone marrow-derived mesenchymal stromal cells or a placebo.

Patients with ARDS from COVID-19 have a mortality rate up to 60%, said Dr. Bela Patel, co-principal investigator and director of the Division of Critical Care at McGovern Medical School. Since stem cell therapy may modulate the hyperinflammatory response to SARS-CoV-2, which causes COVID-19, this important study represents a promising potential therapy to improving outcomes in ARDS patients including those with COVID-19 ARDS.

ARDS occurs when the lungs cannot supply the oxygen needed for organs throughout the body, caused by fluid building up in the lungs, according to the news release. Patients with COVID-19 who have developed ARDS need to be placed on a ventilator.

Preclinical trials have shown that hMSCs can help regulate the immune response, which lowers inflammation and reduces the severity of organ injury.

For the UTHealth arm of the study, the hMSCs are being processed at the Evelyn H. Griffin Stem Cell Therapeutics Research Laboratory at McGovern Medical School.

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First COVID-19 patient in Texas enrolled in UTHealth stem cell therapy study at Memorial Hermann - Community Impact Newspaper

Trump’s coronavirus testing czar was forced out of a job developing vaccine projects. Now he’s on the hot seat. – Anchorage Daily News

WASHINGTON - Brett Giroir, the federal official overseeing coronavirus testing efforts, says that his experience working on vaccine development projects at Texas A&M University helped prepare him for this historic moment. He once said that his vaccine effort was so vital that the fate of 50 million people will rely on us getting this done.

But after eight years of work on several vaccine projects, Giroir was told in 2015 he had 30 minutes to resign or he would be fired. His annual performance evaluation at Texas A&M, the local newspaper reported, said he was "more interested in promoting yourself" than the health science center where he worked. He got low marks on being a "team player."

Now President Donald Trump has given Giroir the crucial task of ending the massive shortfall of tests for the novel coronavirus. Some governors have blasted the lack of federal help on testing, which they say is necessary to enact Trumps plan for reopening the economy.

That criticism has focused attention on Giroir and whether he can deliver results under pressure. His years as director of the Texas vaccine project illustrate his operating style, which includes sweeping statements about the impact of his work, not all of which turned out as some had hoped.

During two recent interviews with The Washington Post, Giroir blamed his ouster on internal politics at the university, not on any problems with the project.

"If you're not familiar with academic politics, it makes politics in Washington look like a minor league scrimmage," he said. He said he was "heartbroken" to leave the position before his work was done, but he said that the vaccine projects have proved valuable - and might contribute to the development of a coronavirus vaccine.

As for the evaluation, Giroir, 59, said, "I'm a team player. But not to people who act inappropriately, who are misogynistic and who are abusive to other people. I don't have a loyalty to that. I have a loyalty to my faculty and my students. And that's what I care about. . . . It's better to be independent and stand your ethical ground." Asked to explain his comment, he said, "I'll just leave it at that."

The combative response is classic Giroir, according to those who have worked with him over the years.

Robin Robinson, who as the director of the federal Biological Advanced Research and Development Authority oversaw a major grant for the Texas vaccine project, said in an interview that Giroir "over-promised and under-delivered." He said, "I always had a good relationship with Brett. I know he has a temper and he sometimes has a very difficult time controlling it."

Still, Robinson, like other former associates interviewed for this report, said that he has confidence in Giroir and praised Trump's decision to pick Giroir for the job informally known as the nation's virus testing czar.

"He does get things done," Robinson said. "Sometimes it's a little different than what one might expect. But I feel confident that he will do the job where he is right now."

Giroir serves as the assistant secretary for health in the Department of Health and Human Services, making him the top medical and science adviser to HHS Secretary Alex Azar. He oversees the U.S. Public Health Service Commission Corps, which has 6,200 members and is playing a major role in fighting covid-19, the disease caused by the virus.

On March 13, a week after Trump said falsely that "anybody that wants a test can get a test," Giroir was given the responsibility of coordinating the federal government's widely criticized virus testing programs, which initially included a faulty product from the Centers for Disease Control and Prevention. While he is not a formal member of the White House coronavirus task force, he is a regular presence at its meetings and often confers with Trump and Vice President Pence.

Although testing has increased since Giroir took over, some state officials continue to complain that the federal government lacks a coherent plan.

Illinois Democratic Gov. J.B. Pritzker said on NPR last week that "the truth is that the federal government has really been more of a hindrance than a help in most of the testing issues. . . . We got very little help from the federal government."

New York Democratic Gov. Andrew Cuomo said Wednesday on brother Chris Cuomo's CNN show that he wasn't familiar with Giroir. Asked by his brother about the man "in charge of the most important component" of dealing with the virus, the governor responded: "I'll take your word that he exists, but I wouldn't know otherwise."

A Giroir spokeswoman said he has been on task-force calls to governors. A spokesman for the New York governor did not respond to a request for comment.

As for the complaints from some governors that they still lack testing capabilities, Giroir said in the interview that anyone who "needs a test" can get one.

"That does not mean at this point in time that anyone who wants a test gets a test," Giroir said. "There may be tens of millions of people who want a test, but they really have no indication [of the virus] for that test."

Giroir said testing must be increased to ensure that the virus does not resurge. He said the current capability of 3.5 million tests per month needs to increase to 6 million to 8 million for a "gradual reopening" of the economy to occur, and he said such capacity is growing quickly.

Separately, Giroir promised that "tens of millions" of serology tests will be available within a few weeks that enable people to determine whether they have had the virus.

Publicly, Giroir has been in sync with Trump, appearing alongside him at briefings in the admiral's uniform he is entitled to wear as director of the public health corps. In private, Giroir said, he has no hesitation about being blunt with the president.

"His scientific advisers, including me, provide him very frank advice every single day," Giroir said. "Any thought that does not happen, or he does not listen, is blatantly false. . . . It's one of the most productive working environments at a senior level I've been involved in."

Giroir, born in Louisiana and educated at Harvard University and the University of Texas Southwestern Medical Center, began his career as a pediatrician and became chief medical officer at Children's Medical Center in Dallas. He grew interested in how to develop new technologies, and in 2004 he joined the Pentagon's Defense Advanced Research Projects Agency, where he oversaw efforts such as the development of a ventilator that could be carried onto battlefields.

He wanted to find new ways to fight deadly pandemics, whether a virus occurred naturally or as a weapon of war. He concluded that new technology was needed to quickly make massive amounts of vaccines. "I realized the challenges were not just biological but engineering," Giroir said.

Giroir returned to Texas in 2008 and eventually became vice chancellor at Texas A&M University, vowing to transform the region into one of the world's hubs for vaccine development. He pushed the idea of creating mobile labs that could produce vaccines where they were most needed, and promoted a facility that would enable a pharmaceutical partner to quickly produce millions of doses of vaccine for a crisis such as an influenza pandemic.

"My job is to facilitate transformational projects that benefit lots of people," Giroir said at the time. "I would like to be part of something that can save millions of lives worldwide."

He told the Houston Chronicle in 2010 that "If this works, we'll have a billion-dose-per-month vaccine facility in Texas, which would be by far the largest and most capable center in the world."

In 2012, Giroir played a major role in obtaining a federal grant that enabled the university to become one of several U.S. centers that would be prepared to quickly produce vaccines in a pandemic. "Once it's implemented, it really will solve the pandemic crisis," he said at the time.

The university partnered with GlaxoSmithKline, a leading vaccine manufacturer. In a 2013 news release, Giroir said the company's cell-based vaccine program was "the most promising near term influenza vaccine technology" to improve upon the traditional methodology of using eggs.

When there was fear of an outbreak of Ebola virus cases in Texas, then-Gov. Rick Perry, a Republican, in 2014 appointed Giroir as chairman of a task force overseeing an effort to fight the disease.

In mid-2015, a new president, Michael Young, arrived at Texas A&M. Young asked some senior officials at the university to resign, while offering to keep them in their jobs for at least a year, Giroir told The Post. Giroir said he refused to sign the letter.

Giroir was summoned to a meeting at which he said he was told he had 30 minutes to resign or he would be fired. Declaring himself "heartbroken" over having failed to complete his mission, he resigned. Young, who is still university president, declined to comment.

Giroir, in response to questions about his ouster, sent The Post an editorial published at the time in the local newspaper, the Bryan Eagle. The editorial chastised Young for having forced out Giroir, saying Giroir had increased federal research grants to the university's Health Science Center by 65 percent and was "treated badly" by the school.

Separately, the Eagle reported that the university said in a statement, "It is inaccurate and disingenuous at best to attribute growth in this area solely to Dr. Giroir." The Eagle, which obtained Giroir's evaluation, said that while Giroir had a grade of 4 or 5 for his management and related skills, on a scale in which 5 is the highest mark, he had a 2 or 3 in areas of "loyalty/commitment" and "team player."

The vaccine manufacturing center was completed after Giroir's departure, but his prediction that it would enable GlaxoSmithKline to produce a groundbreaking vaccine did not pan out. The company said in a statement that the "research underpinning the Texas A&M project did not prove fruitful," leading federal authorities to halt funding.

The facility was acquired by a U.S. subsidiary of a Japanese company, Fujifilm Diosynth Biotechnologies, which has agreed to respond promptly if there is a federal request to develop a vaccine.

John White, who as chairman of the Board of Regents recruited Giroir to the university, said in an interview, "Brett was the architect of all these wonderful things we had put in place." Asked to assess Giroir's impact, he said, "It is just difficult to sum it up because the journey continues. . . . Do I wish everything would have gone faster with more tangible results? Sure, but I'm not disappointed at all where it's been and where it's going."

Giroir defended the projects. He said the Fujifilm facility is available to rapidly produce a vaccine if one is requested by the federal government, just as originally envisioned, and he said his work has laid the foundation for such work, possibly including a vaccine for covid-19.

Of his vaccine work in Texas, he said, "It's not entirely responsible for where we are by any means. But the work has really led to our ability to get a vaccine up to scale potentially in a year or a year and a half instead of five or seven years."

Giroir also noted that a separate facility he helped develop, which uses plant-based technology to produce vaccines, is working on a possible product for the coronavirus. "It may work, it may not work," he said. "But if you want a billion doses in a short time, plant-based is the only way to get it done."

Giroir, after being ousted from Texas A&M, took a variety of positions, including chairing a commission that reviewed the health-care system at Veterans Affairs. With Trump's election, Giroir found a new opportunity.

Trump nominated him in 2017 to be assistant secretary for health at HHS. The nomination languished for months as some Democrats questioned Giroir's commitment to women's health issues, but he was confirmed.

Trump named Giroir as acting commissioner of the Food and Drug Administration in late 2019, a position he held for two months while a new leader awaited confirmation.

Until now, some of Giroir's most prominent work in the administration revolved around fetal stem cell tissue research, which some scientists think could be needed to find a treatment for the coronavirus. Some conservatives have urged a ban on the use of fetal tissue.

Giroir said during a 2018 meeting at the National Institutes of Health that an alternative must be as reliable as fetal tissue. But HHS later announced restrictions on the ability of some researchers to get federal funding for fetal tissue research, saying the importance of "promoting the dignity of life from conception to natural death is one of the very top priorities of President Trump's administration." The announcement pleased Trump's political advisers but dismayed scientists. Giroir's views on the issue appear to put him at odds with White House policy.

"I think it's very clear that we don't have models that completely recapitulate what the fetal tissue does," Giroir told The Post. "And I just mean this honestly, what I advise the president, or what happens, that's executive privilege. And I think it was widely reported that this was the president's decision on the way to go. This was a presidential decision. And he's the president; he gets to make those decisions."

The Washington Posts Alice Crites contributed to this report.

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Trump's coronavirus testing czar was forced out of a job developing vaccine projects. Now he's on the hot seat. - Anchorage Daily News

‘Stem cell therapy more effective on Covid-19’ – Korea Biomedical Review

I dont know why people pay attention only to vaccines and treatments against the new coronavirus. Stem cell therapies are more useful to treat Covid-19.

So claimed Lee Hee-young, president of the Korean Association of Stemcell Therapy, at a news conference in Seoul, Monday. He called for active use of stem cell therapies to treat Covid-19 patients.

Several studies have proved the effects of autologous stem cells in treating acute respiratory distress syndrome (ARDS), which is the leading cause of death in Covid-19 patients, Lee said. The concept of stem cell therapy is the same as that of blood transfusion or bone marrow transplantation. Decades of cell therapies have proved that stem cell therapy is safe.

While the development of a treatment or a vaccine against Covid-19 takes a long time and it may not be able to treat patients immediately because of virus mutation possibilities, stem cell therapies can restore damaged lungs directly, Lee claimed.

It is more important to restore damaged lungs than to fight the virus. Stem cell therapy restores the lungs, giving patients time to beat the virus, he went on to say. However, people are paying attention to vaccine or treatment candidates only. This is why I am holding a news conference.

Lee pointed out that the local environment makes it difficult to use stem cell therapies. Thus, the government should ease regulations on the management and use of cell culture facilities so that doctors can perform stem cell therapies with simple cell culture, he said.

As long as physicians have a positive pressure facility and a culture kit, they can separate and culture cells with simple training, he said. If the authorities allow doctors to perform stem cell therapies with a disposable mobile culture autonomously, the cost of stem cell therapies will go down significantly.

Lee added that he asked related officials to include such rules in the Act on Safety and Support for Advanced Regenerative Medicine and Advanced Biopharmaceuticals, which is to take effect in the second half of the year.

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Planned Clinical Trial of Allogeneic Stem Cell Therapy Remestemcel-L in Patients with COVID-19 – Cancer Network

Mount Sinai Health System announced that they will be using remestemcel-L (Ryoncil), an innovative allogeneic stem cell therapy, in patients with coronavirus disease 2019 (COVID-19).

Additionally, Mount Sinai indicated that they will play a central role in a clinical trial for patients with severe acute respiratory distress syndrome, which affects individuals with severe cases of COVID-19.

Remestemcel-L has previously been tested in patients who have had a bone marrow transplant, who can experience an overactive immune response similar to that observed in severe cases of COVID-19.

Mount Sinai began administering remestemcel-L to patients in late March under the FDAs compassionate use program. The therapy was given to 10 patients with moderate to severe cases of COVID-19-related acute respiratory distress syndrome (ARDS), most of whom were on ventilators, and the doctors saw encouraging results.

We are encouraged by what we have seen so far and look forward to participating in the randomized controlled trial starting soon that would better indicate whether this is an effective therapy for patients in severe respiratory distress from COVID-19, Keren Osman, MD, medical director of the Cellular Therapy Service in the Bone Marrow and Stem Cell Transplantation Program at The Tisch Cancer Institute at Mount Sinai and associate professor of Hematology and Medical Oncology at the Icahn School of Medicine at Mount Sinai, said in a press release.

The randomized clinical trial evaluating the therapeutic benefit and safety of remestemcel-L will be conducted at Mount Sinai, which will serve as the clinical and data coordinating center. The stem cell therapy will be evaluated in 240 patients with COVID-19-related ARDS in the US and Canada. Moreover, the trial will be conducted as a public-private partnership between the Cardiothoracic Surgical Trials Network.

The coronavirus pandemic has caused exponential increases of people suffering with acute respiratory distress syndrome, requiring intubation and mechanical ventilation with many dying, Annetine Gelijns, PhD, the Edmond A. Guggenheim Professor of Health Policy at the Icahn School of Medicine at Mount Sinai, said in a press release. We have designed a clinical trial that will expeditiously determine whether the stem cell therapy will offer a life-saving therapy for a group of patients with a dismal prognosis.

Remestemcel-L consists of mesenchymal stem cells. The therapy was previously assessed in a phase III trial in children who had graft-versus-host disease (GVHD), which can occur after bone marrow transplants. Further, the inflammation that occurs in GVHD is the result of a cytokine storm. A similar cytokine storm has been found to take place in patients with COVID-19 who develop acute respiratory distress syndrome.

These stem cells have shown excellent response rates in severe graft-versus-host disease in children, John Levine, MD, professor of Hematology, Medical Oncology, and Pediatrics at the Icahn School of Medicine at Mount Sinai, who is also the co-director of the Mount Sinai Acute GVHD International Consortium (MAGIC), said in a press release. Mesenchymal stem cells have a natural property that dampens excessive immune responses.

Some institutions have also begun testing anti-IL-6 agents, such as tocilizumab (Actemra), for the treatment of cytokine release syndrome in patients with COVID-19 who develop acute respiratory distress syndrome.

Reference:

Mount Sinai Leading the Way in Innovative Stem Cell Therapy for COVID-19 Patients [news release]. New York, NY. Published April 9, 2020. newswise.com/coronavirus/mount-sinai-leading-the-way-in-innovative-stem-cell-therapy-for-covid-19-patients/?article_id=729684&sc=dwhr&xy=10019792. Accessed April 15, 2020.

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Planned Clinical Trial of Allogeneic Stem Cell Therapy Remestemcel-L in Patients with COVID-19 - Cancer Network

Irreversible No Longer: Blind Mice See Again Thanks To New Method of Synthesizing Lost Cells – Good News Network

Reprinted with permission fromWorld At Large, a news website which covers politics, nature, science, health, and travel.

Age-related macular degeneration (MD) is a variety of ocular disease that affects so many millions of people, its downright characterized as nothing more than the process of aging.

In fact, the study of MD has proven itself to be so fruitful for understanding aging as a whole, MD has become one of the first places that scientists have looked to in order to attempt to repair the damage of aging and restoring youthful, or normal function.

Now in a new paper published in Nature, researchers demonstrate an alternative to stem cells by creating replacement photoreceptors from skin fibroblast cells via pharmacological-conversiona process that promises to be cheaper, faster, and unburdened by ethical and legal restrictions.

Containing the genetic code for every protein we need to build and repair our cells, DNA can become damaged over time through the stresses of life. Similarly to how scratches or cracks in a CD prevent lasers from reading the information on the disk, damaged DNA becomes difficult, and even impossible for our RNA (which you could imagine as the laser inside the CD player) to read the genetic information contained therein.

WATCH: Blind Man Develops Smart Cane That Uses Google Maps and Sensors to Identify Ones Surroundings

The photoreceptor is the neuron in the eye that turns on visual circuity in response to light which enables us to have vision, says Sai Chavala, Ph.D. and author of the new paper.

The loss of photoreceptors can result in MD and other retinal diseases that lead to irreversible blindness. In this new study, however, cells called fibroblasts can be chemically reprogrammed to produce photoreceptor-like cells that are now shown to restore vision in mice.

Fibroblasts are cells that help maintain the structural integrity of connective tissues, and a reduction in fibroblast cell count leads to wrinkled skin.

Sai Chavala and colleagues from the Center for Retina Innovation in Dallas, Texas, found a set of five compounds that can drive embryonic fibroblast cells to convert themselves into retinal, rod-like, photoreceptors in both mice and human cells.

Stem cell-based strategies are extremely exciting, Dr. Chavala tells World at Large, but adds that generating these cells can be cumbersome and time-consuming. Describing his strategy of chemically reprogramming existing cells as a breakthrough, Chavala added that the generation of the photoreceptors using his method requires a fraction of the time.

In the study, these converted photoreceptors were transplanted into the eyes of 14 blind mice to see if they would restore vision.

CHECK OUT: LEGO Unveils New Bricks That Will Help Teach Blind Children to Read Braille

Owing to their nature, mice with working vision prefer dark spaces, and so a test of whether or not the transplant was a success was fairly straight forward; create a bright space and a dark space and wait to see which one was preferred by the mice.

Six mice were found to not only have restored visual function and reflexesnotably in the pupilbut they also preferred to spend their time in the dark space. Chavala hypothesizes that it could have been down to how many of the chemically-reprogrammed cells survived the transplant into the retina that determined whether vision was restored in the mice or not.

What makes interventions like thesewhich involve creating brand new cells to replace the damaged onesso effective and exciting in the field of aging is that they present an alternative to natural replication by bypassing the difficulties that our own cells have with trying to repair themselves from DNA that features double-strand breaks or other blemishes.

Adding that these conversions of fibroblasts to photoreceptors has also been done in humans, Chavala detailed why he believes the treatments and future research to spring from this discovery are going to change the field of ophthalmology.

CHECK OUT: In World First Blind People Have Their Vision Restored Thanks to Stem Cells From Deceased Organ Donors

We [] believe this can be a game changer in the field of regenerative ophthalmology. We also believe this is a platform technology and have already started establishing protocols to generate retinal ganglion cells valuable for patients suffering from glaucoma, says Chavala.

In addition to bypassing the ethical and political restrictions and hiccups with using embryonic human stem cells, the process takes two weeks, costs less, and is more scalable than using stem cells.

WATCH: Hundreds of People Are Being Cured of Blindness Every Day With Cheap, Minutes-Long Surgery

It is intriguing to postulate that the addition of other molecules or modifications to the culture conditions can yield other types of neurons beneficial for a variety of neurological diseases, he adds, discussing possible alternatives to photoreceptor generation from fibroblasts.

Finally, Chavala is rapidly approaching human trials and hopes to have an FDA-approved treatment out the other end of the pipeline in 2-3 years, saying he is thrilled with the possibility of allowing millions of people to regain their lost vision.

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Irreversible No Longer: Blind Mice See Again Thanks To New Method of Synthesizing Lost Cells - Good News Network

Global High Throughput Screening (HTS) Industry | National – Baker City Herald

NEW YORK, April 20, 2020 /PRNewswire/ --High Throughput Screening (HTS) market worldwide is projected to grow by US$8.8 Billion, driven by a compounded growth of 7.5%. Consumables/Reagents, one of the segments analyzed and sized in this study, displays the potential to grow at over 8%. The shifting dynamics supporting this growth makes it critical for businesses in this space to keep abreast of the changing pulse of the market. Poised to reach over US$13.2 Billion by the year 2025, Consumables/Reagents will bring in healthy gains adding significant momentum to global growth.

Read the full report: https://www.reportlinker.com/p04368329/?utm_source=PRN

- Representing the developed world, the United States will maintain a 6.3% growth momentum. Within Europe, which continues to remain an important element in the world economy, Germany will add over US$306.6 Million to the region's size and clout in the next 5 to 6 years. Over US$260.8 Million worth of projected demand in the region will come from Rest of Europe markets. In Japan, Consumables/Reagents will reach a market size of US$658.3 Million by the close of the analysis period. As the world's second largest economy and the new game changer in global markets, China exhibits the potential to grow at 11.1% over the next couple of years and add approximately US$2.5 Billion in terms of addressable opportunity for the picking by aspiring businesses and their astute leaders. Presented in visually rich graphics are these and many more need-to-know quantitative data important in ensuring quality of strategy decisions, be it entry into new markets or allocation of resources within a portfolio. Several macroeconomic factors and internal market forces will shape growth and development of demand patterns in emerging countries in Asia-Pacific, Latin America and the Middle East. All research viewpoints presented are based on validated engagements from influencers in the market, whose opinions supersede all other research methodologies.

- Competitors identified in this market include, among others,

Read the full report: https://www.reportlinker.com/p04368329/?utm_source=PRN

I. INTRODUCTION, METHODOLOGY & REPORT SCOPE

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEW

High Throughput Screening (HTS): A PreludeRecent Market ActivityHTS: The Mainstream Technology for Drug Discovery ProgramsUnparalleled Advantages in Compound Screening Drives WiderAdoptionKey Benefits of HTS - An OverviewSoaring R&D Spending Creates Conducive Environment for HTSShift towards High Throughput Research Builds Momentum for HTSUpward Trajectory in Med Tech Sector Generates ParallelOpportunitiesStable Economic Outlook to Keep Market Sentiment Intact in theNear TermDeveloped Regions: Key Revenue ContributorsHTS Adoption Continues to Expand in Developing RegionsKey Factors Driving Demand for HTS in the Developing RegionsCompetitive ScenarioLeading Players in the World HTS MarketM&A ActivityGlobal Competitor Market SharesHigh Throughput Screening (HTS) Competitor Market ShareScenario Worldwide (in %): 2020 & 2029

2. FOCUS ON SELECT PLAYERS

Agilent Technologies, Inc. (USA)Aurora Biomed, Inc. (Canada)Axxam SpA (Italy)BD Biosciences (USA)Danaher Corporation (USA)Beckman Coulter, Inc. (USA)Molecular Devices Inc. (USA)Pall ForteBio LLC (USA)Bio-Rad Laboratories, Inc. (USA)BioTek Instruments Inc. (USA)BMG LABTECH GmbH (Germany)Charles River Laboratories International, Inc. (USA)Corning Inc. (USA)DiscoveRx Corporation (USA)Evotec AG (Germany)F. Hoffmann-La Roche Ltd. (Switzerland)Genedata AG (Switzerland)IntelliCyt Corporation (USA)Luminex Corporation (USA)PerkinElmer, Inc. (USA)Sigma-Aldrich Corp. (USA)Tecan Group Ltd. (Switzerland)Thermo Fisher Scientific Inc. (USA)

3. MARKET TRENDS & DRIVERS

Cell-based Assay: The Widely Used HTS TechnologyResolving Technical Limitations: Cornerstone for Future Successof Cell-based HTSHTS Aims to Expand Use Case in Biochemical ApplicationsLabel-Free HTS Demonstrates Fastest GrowthLab-on-a-Chip HTS Seeks to Proliferate the MarketBioinformatics HTS Enhanced with Computational AlgorithmsPositive Prognosis across End-Use Markets to Underpin RevenueGrowthPharmaceutical Industry Leads the WayHTS Deployments Soar in AcademiaProgressive Advancements in HTS Instruments Accelerate MarketGrowthMicroplate Handling Systems: An Important HTS Instrument TypeLiquid Handling Devices: A Necessity in HTS ProcessesMicroscopic Systems Facilitate Seamless Quantitative AnalysisAdvanced Software Platforms Augment HTS ProficiencyServices: An Important Revenue Generating SegmentExpansion in Compound Libraries Widens Functional Scope of HTSCompound Libraries Facilitate Simultaneous Functional Genomics& Small Molecule AnalysisLaboratory Automation & Miniaturization Spell Opportunities forHTSMiniaturization of Compound Screening Processes Drives Demandfor HTSHTS Miniaturization - Technology DevelopmentsHTS Robotics Support MiniaturizationIVC - A Miniaturized, Powerful HTS TechnologyHTS Assumes Critical Importance in Target Identification &ValidationHTS Gathers Steam in Primary Screening ApplicationsHTS Perceives Bright Future in Stem Cell ResearchHTS in Kinase Inhibitors IdentificationHTS in Alzheimer's Disease Drug DiscoveryHTS for Less Simplified PCR SystemsHTFC Eases Metabolic Activity Analysis for Pharmaceutical DrugsOpen Access Platforms Widen HTS Audience BaseNeed for Stringent QA System to Keep Failures at BayHigh Throughput Screening (HTS) Vs. High Content Screening (HCS)Rise in Adoption of HCS Technology in HTS Laboratories

4. GLOBAL MARKET PERSPECTIVE

Table 1: High Throughput Screening (HTS) Global MarketEstimates and Forecasts in US$ Million by Region/Country:2018-2025Table 2: High Throughput Screening (HTS) Global RetrospectiveMarket Scenario in US$ Million by Region/Country: 2009-2017Table 3: High Throughput Screening (HTS) Market Share Shiftacross Key Geographies Worldwide: 2009 VS 2019 VS 2025Table 4: Consumables/Reagents (Product Type) World Market byRegion/Country in US$ Million: 2018 to 2025Table 5: Consumables/Reagents (Product Type) Historic MarketAnalysis by Region/Country in US$ Million: 2009 to 2017Table 6: Consumables/Reagents (Product Type) Market ShareBreakdown of Worldwide Sales by Region/Country: 2009 VS 2019 VS2025Table 7: Instruments (Product Type) Potential Growth MarketsWorldwide in US$ Million: 2018 to 2025Table 8: Instruments (Product Type) Historic Market Perspectiveby Region/Country in US$ Million: 2009 to 2017Table 9: Instruments (Product Type) Market Sales Breakdown byRegion/Country in Percentage: 2009 VS 2019 VS 2025Table 10: Software & Services (Product Type) Geographic MarketSpread Worldwide in US$ Million: 2018 to 2025Table 11: Software & Services (Product Type) Region WiseBreakdown of Global Historic Demand in US$ Million: 2009 to2017Table 12: Software & Services (Product Type) Market ShareDistribution in Percentage by Region/Country: 2009 VS 2019 VS2025Table 13: Cell-based Assay (Technology) World Market Estimatesand Forecasts by Region/Country in US$ Million: 2018 to 2025Table 14: Cell-based Assay (Technology) Market Historic Reviewby Region/Country in US$ Million: 2009 to 2017Table 15: Cell-based Assay (Technology) Market Share Breakdownby Region/Country: 2009 VS 2019 VS 2025Table 16: Label-Free Technology (Technology) World Market byRegion/Country in US$ Million: 2018 to 2025Table 17: Label-Free Technology (Technology) Historic MarketAnalysis by Region/Country in US$ Million: 2009 to 2017Table 18: Label-Free Technology (Technology) Market ShareDistribution in Percentage by Region/Country: 2009 VS 2019 VS2025Table 19: Other Technologies (Technology) World MarketEstimates and Forecasts in US$ Million by Region/Country: 2018to 2025Table 20: Other Technologies (Technology) Market WorldwideHistoric Review by Region/Country in US$ Million: 2009 to 2017Table 21: Other Technologies (Technology) Market PercentageShare Distribution by Region/Country: 2009 VS 2019 VS 2025Table 22: Target Identification & Validation (Application)Global Opportunity Assessment in US$ Million by Region/Country:2018-2025Table 23: Target Identification & Validation (Application)Historic Sales Analysis in US$ Million by Region/Country:2009-2017Table 24: Target Identification & Validation (Application)Percentage Share Breakdown of Global Sales by Region/Country:2009 VS 2019 VS 2025Table 25: Primary & Secondary Screening (Application) WorldwideSales in US$ Million by Region/Country: 2018-2025Table 26: Primary & Secondary Screening (Application) HistoricDemand Patterns in US$ Million by Region/Country: 2009-2017Table 27: Primary & Secondary Screening (Application) MarketShare Shift across Key Geographies: 2009 VS 2019 VS 2025Table 28: Toxicology Assessment (Application) Global MarketEstimates & Forecasts in US$ Million by Region/Country:2018-2025Table 29: Toxicology Assessment (Application) RetrospectiveDemand Analysis in US$ Million by Region/Country: 2009-2017Table 30: Toxicology Assessment (Application) Market ShareBreakdown by Region/Country: 2009 VS 2019 VS 2025Table 31: Other Applications (Application) Demand PotentialWorldwide in US$ Million by Region/Country: 2018-2025Table 32: Other Applications (Application) Historic SalesAnalysis in US$ Million by Region/Country: 2009-2017Table 33: Other Applications (Application) Share BreakdownReview by Region/Country: 2009 VS 2019 VS 2025Table 34: Pharmaceutical & Biotechnology Companies (End-Use)Worldwide Latent Demand Forecasts in US$ Million byRegion/Country: 2018-2025Table 35: Pharmaceutical & Biotechnology Companies (End-Use)Global Historic Analysis in US$ Million by Region/Country:2009-2017Table 36: Pharmaceutical & Biotechnology Companies (End-Use)Distribution of Global Sales by Region/Country: 2009 VS 2019 VS2025Table 37: Academic & Government Institutes (End-Use) SalesEstimates and Forecasts in US$ Million by Region/Country forthe Years 2018 through 2025Table 38: Academic & Government Institutes (End-Use) Analysisof Historic Sales in US$ Million by Region/Country for theYears 2009 to 2017Table 39: Academic & Government Institutes (End-Use) GlobalMarket Share Distribution by Region/Country for 2009, 2019, and2025Table 40: Contract Research Organizations (CRO) (End-Use)Global Opportunity Assessment in US$ Million by Region/Country:2018-2025Table 41: Contract Research Organizations (CRO) (End-Use)Historic Sales Analysis in US$ Million by Region/Country:2009-2017Table 42: Contract Research Organizations (CRO) (End-Use)Percentage Share Breakdown of Global Sales by Region/Country:2009 VS 2019 VS 2025Table 43: Other End-Uses (End-Use) Worldwide Sales in US$Million by Region/Country: 2018-2025Table 44: Other End-Uses (End-Use) Historic Demand Patterns inUS$ Million by Region/Country: 2009-2017Table 45: Other End-Uses (End-Use) Market Share Shift acrossKey Geographies: 2009 VS 2019 VS 2025

III. MARKET ANALYSIS

GEOGRAPHIC MARKET ANALYSISUNITED STATESMarket Facts & FiguresUS High Throughput Screening (HTS) Market Share (in %) byCompany: 2020 & 2025Market AnalyticsTable 46: United States High Throughput Screening (HTS) MarketEstimates and Projections in US$ Million by Product Type: 2018to 2025Table 47: High Throughput Screening (HTS) Market in the UnitedStates by Product Type: A Historic Review in US$ Million for2009-2017Table 48: United States High Throughput Screening (HTS) MarketShare Breakdown by Product Type: 2009 VS 2019 VS 2025Table 49: High Throughput Screening (HTS) Market in US$ Millionin the United States by Technology: 2018-2025Table 50: United States High Throughput Screening (HTS) MarketRetrospective Analysis in US$ Million by Technology: 2009-2017Table 51: United States High Throughput Screening (HTS) MarketShare Breakdown by Technology: 2009 VS 2019 VS 2025Table 52: United States High Throughput Screening (HTS) LatentDemand Forecasts in US$ Million by Application: 2018 to 2025Table 53: High Throughput Screening (HTS) Historic DemandPatterns in the United States by Application in US$ Million for2009-2017Table 54: High Throughput Screening (HTS) Market ShareBreakdown in the United States by Application: 2009 VS 2019 VS2025Table 55: United States High Throughput Screening (HTS) LatentDemand Forecasts in US$ Million by End-Use: 2018 to 2025Table 56: High Throughput Screening (HTS) Historic DemandPatterns in the United States by End-Use in US$ Million for2009-2017Table 57: High Throughput Screening (HTS) Market ShareBreakdown in the United States by End-Use: 2009 VS 2019 VS 2025CANADATable 58: Canadian High Throughput Screening (HTS) MarketEstimates and Forecasts in US$ Million by Product Type: 2018 to2025Table 59: Canadian High Throughput Screening (HTS) HistoricMarket Review by Product Type in US$ Million: 2009-2017Table 60: High Throughput Screening (HTS) Market in Canada:Percentage Share Breakdown of Sales by Product Type for 2009,2019, and 2025Table 61: High Throughput Screening (HTS) Market Analysis inCanada in US$ Million by Technology: 2018-2025Table 62: High Throughput Screening (HTS) Market in Canada:Historic Review in US$ Million by Technology for the Period2009-2017Table 63: Canadian High Throughput Screening (HTS) Market ShareBreakdown by Technology: 2009 VS 2019 VS 2025Table 64: Canadian High Throughput Screening (HTS) MarketQuantitative Demand Analysis in US$ Million by Application:2018 to 2025Table 65: High Throughput Screening (HTS) Market in Canada:Summarization of Historic Demand Patterns in US$ Million byApplication for 2009-2017Table 66: Canadian High Throughput Screening (HTS) Market ShareAnalysis by Application: 2009 VS 2019 VS 2025Table 67: Canadian High Throughput Screening (HTS) MarketQuantitative Demand Analysis in US$ Million by End-Use: 2018 to2025Table 68: High Throughput Screening (HTS) Market in Canada:Summarization of Historic Demand Patterns in US$ Million byEnd-Use for 2009-2017Table 69: Canadian High Throughput Screening (HTS) Market ShareAnalysis by End-Use: 2009 VS 2019 VS 2025JAPANTable 70: Japanese Market for High Throughput Screening (HTS):Annual Sales Estimates and Projections in US$ Million byProduct Type for the Period 2018-2025Table 71: High Throughput Screening (HTS) Market in Japan:Historic Sales Analysis in US$ Million by Product Type for thePeriod 2009-2017Table 72: Japanese High Throughput Screening (HTS) Market ShareAnalysis by Product Type: 2009 VS 2019 VS 2025Table 73: Japanese Medium & Long-Term Outlook for HighThroughput Screening (HTS) Market in US$ Million by Technology:2018-2025Table 74: High Throughput Screening (HTS) Market in Japan inUS$ Million by Technology: 2009-2017Table 75: Japanese High Throughput Screening (HTS) MarketPercentage Share Distribution by Technology: 2009 VS 2019 VS2025Table 76: Japanese Demand Estimates and Forecasts for HighThroughput Screening (HTS) in US$ Million by Application: 2018to 2025Table 77: Japanese High Throughput Screening (HTS) Market inUS$ Million by Application: 2009-2017Table 78: High Throughput Screening (HTS) Market Share Shift inJapan by Application: 2009 VS 2019 VS 2025Table 79: Japanese Demand Estimates and Forecasts for HighThroughput Screening (HTS) in US$ Million by End-Use: 2018 to2025Table 80: Japanese High Throughput Screening (HTS) Market inUS$ Million by End-Use: 2009-2017Table 81: High Throughput Screening (HTS) Market Share Shift inJapan by End-Use: 2009 VS 2019 VS 2025CHINATable 82: Chinese High Throughput Screening (HTS) Market GrowthProspects in US$ Million by Product Type for the Period2018-2025Table 83: High Throughput Screening (HTS) Historic MarketAnalysis in China in US$ Million by Product Type: 2009-2017Table 84: Chinese High Throughput Screening (HTS) Market byProduct Type: Percentage Breakdown of Sales for 2009, 2019, and2025Table 85: High Throughput Screening (HTS) Market Estimates andForecasts in China in US$ Million by Technology: 2018-2025Table 86: Chinese High Throughput Screening (HTS) RetrospectiveMarket Scenario in US$ Million by Technology: 2009-2017Table 87: High Throughput Screening (HTS) Market in China:Percentage Share Analysis by Technology for 2009, 2019, and2025Table 88: Chinese Demand for High Throughput Screening (HTS) inUS$ Million by Application: 2018 to 2025Table 89: High Throughput Screening (HTS) Market Review inChina in US$ Million by Application: 2009-2017Table 90: Chinese High Throughput Screening (HTS) Market ShareBreakdown by Application: 2009 VS 2019 VS 2025Table 91: Chinese Demand for High Throughput Screening (HTS) inUS$ Million by End-Use: 2018 to 2025Table 92: High Throughput Screening (HTS) Market Review inChina in US$ Million by End-Use: 2009-2017Table 93: Chinese High Throughput Screening (HTS) Market ShareBreakdown by End-Use: 2009 VS 2019 VS 2025EUROPESMarket Facts & FiguresEuropean High Throughput Screening (HTS) Market: CompetitorMarket Share Scenario (in %) for 2020 & 2025Market AnalyticsTable 94: European High Throughput Screening (HTS) MarketDemand Scenario in US$ Million by Region/Country: 2018-2025Table 95: High Throughput Screening (HTS) Market in Europe:A Historic Market Perspective in US$ Million by Region/Countryfor the Period 2009-2017Table 96: European High Throughput Screening (HTS) Market ShareShift by Region/Country: 2009 VS 2019 VS 2025Table 97: European High Throughput Screening (HTS) MarketEstimates and Forecasts in US$ Million by Product Type:2018-2025Table 98: High Throughput Screening (HTS) Market in Europe inUS$ Million by Product Type: A Historic Review for the Period2009-2017Table 99: European High Throughput Screening (HTS) Market ShareBreakdown by Product Type: 2009 VS 2019 VS 2025Table 100: European High Throughput Screening (HTS) MarketAssessment in US$ Million by Technology: 2018-2025Table 101: European High Throughput Screening (HTS) HistoricMarket Review in US$ Million by Technology: 2009-2017Table 102: High Throughput Screening (HTS) Market in Europe:Percentage Breakdown of Sales by Technology for 2009, 2019, and2025Table 103: European High Throughput Screening (HTS) AddressableMarket Opportunity in US$ Million by Application: 2018-2025Table 104: High Throughput Screening (HTS) Market in Europe:Summarization of Historic Demand in US$ Million by Applicationfor the Period 2009-2017Table 105: European High Throughput Screening (HTS) MarketShare Analysis by Application: 2009 VS 2019 VS 2025Table 106: European High Throughput Screening (HTS) AddressableMarket Opportunity in US$ Million by End-Use: 2018-2025Table 107: High Throughput Screening (HTS) Market in Europe:Summarization of Historic Demand in US$ Million by End-Use forthe Period 2009-2017Table 108: European High Throughput Screening (HTS) MarketShare Analysis by End-Use: 2009 VS 2019 VS 2025FRANCETable 109: High Throughput Screening (HTS) Market in France byProduct Type: Estimates and Projections in US$ Million for thePeriod 2018-2025Table 110: French High Throughput Screening (HTS) HistoricMarket Scenario in US$ Million by Product Type: 2009-2017Table 111: French High Throughput Screening (HTS) Market ShareAnalysis by Product Type: 2009 VS 2019 VS 2025Table 112: French High Throughput Screening (HTS) MarketEstimates and Projections in US$ Million by Technology:2018-2025Table 113: French High Throughput Screening (HTS) HistoricMarket Analysis in US$ Million by Technology: 2009-2017Table 114: French High Throughput Screening (HTS) Market ShareBreakdown by Technology: 2009 VS 2019 VS 2025Table 115: High Throughput Screening (HTS) Quantitative DemandAnalysis in France in US$ Million by Application: 2018-2025Table 116: French High Throughput Screening (HTS) HistoricMarket Review in US$ Million by Application: 2009-2017Table 117: French High Throughput Screening (HTS) Market ShareAnalysis: A 17-Year Perspective by Application for 2009, 2019,and 2025Table 118: High Throughput Screening (HTS) Quantitative DemandAnalysis in France in US$ Million by End-Use: 2018-2025Table 119: French High Throughput Screening (HTS) HistoricMarket Review in US$ Million by End-Use: 2009-2017Table 120: French High Throughput Screening (HTS) Market ShareAnalysis: A 17-Year Perspective by End-Use for 2009, 2019, and2025GERMANYTable 121: High Throughput Screening (HTS) Market in Germany:Recent Past, Current and Future Analysis in US$ Million byProduct Type for the Period 2018-2025Table 122: German High Throughput Screening (HTS) HistoricMarket Analysis in US$ Million by Product Type: 2009-2017Table 123: German High Throughput Screening (HTS) Market ShareBreakdown by Product Type: 2009 VS 2019 VS 2025Table 124: German High Throughput Screening (HTS) Latent DemandForecasts in US$ Million by Technology: 2018-2025Table 125: High Throughput Screening (HTS) Market in Germany:A Historic Perspective by Technology in US$ Million for thePeriod 2009-2017Table 126: German High Throughput Screening (HTS) Market ShareBreakdown by Technology: 2009 VS 2019 VS 2025Table 127: High Throughput Screening (HTS) Market in Germany:Annual Sales Estimates and Forecasts in US$ Million byApplication for the Period 2018-2025Table 128: German High Throughput Screening (HTS) Market inRetrospect in US$ Million by Application: 2009-2017Table 129: High Throughput Screening (HTS) Market ShareDistribution in Germany by Application: 2009 VS 2019 VS 2025Table 130: High Throughput Screening (HTS) Market in Germany:Annual Sales Estimates and Forecasts in US$ Million by End-Usefor the Period 2018-2025Table 131: German High Throughput Screening (HTS) Market inRetrospect in US$ Million by End-Use: 2009-2017Table 132: High Throughput Screening (HTS) Market ShareDistribution in Germany by End-Use: 2009 VS 2019 VS 2025ITALYTable 133: Italian High Throughput Screening (HTS) MarketGrowth Prospects in US$ Million by Product Type for the Period2018-2025Table 134: High Throughput Screening (HTS) Historic MarketAnalysis in Italy in US$ Million by Product Type: 2009-2017Table 135: Italian High Throughput Screening (HTS) Market byProduct Type: Percentage Breakdown of Sales for 2009, 2019, and2025Table 136: High Throughput Screening (HTS) Market Estimates andForecasts in Italy in US$ Million by Technology: 2018-2025Table 137: Italian High Throughput Screening (HTS)Retrospective Market Scenario in US$ Million by Technology:2009-2017Table 138: High Throughput Screening (HTS) Market in Italy:Percentage Share Analysis by Technology for 2009, 2019, and2025Table 139: Italian Demand for High Throughput Screening (HTS)in US$ Million by Application: 2018 to 2025Table 140: High Throughput Screening (HTS) Market Review inItaly in US$ Million by Application: 2009-2017Table 141: Italian High Throughput Screening (HTS) Market ShareBreakdown by Application: 2009 VS 2019 VS 2025Table 142: Italian Demand for High Throughput Screening (HTS)in US$ Million by End-Use: 2018 to 2025Table 143: High Throughput Screening (HTS) Market Review inItaly in US$ Million by End-Use: 2009-2017Table 144: Italian High Throughput Screening (HTS) Market ShareBreakdown by End-Use: 2009 VS 2019 VS 2025UNITED KINGDOMTable 145: United Kingdom Market for High Throughput Screening(HTS): Annual Sales Estimates and Projections in US$ Million byProduct Type for the Period 2018-2025Table 146: High Throughput Screening (HTS) Market in the UnitedKingdom: Historic Sales Analysis in US$ Million by Product Typefor the Period 2009-2017Table 147: United Kingdom High Throughput Screening (HTS)Market Share Analysis by Product Type: 2009 VS 2019 VS 2025Table 148: United Kingdom Medium & Long-Term Outlook for HighThroughput Screening (HTS) Market in US$ Million by Technology:2018-2025Table 149: High Throughput Screening (HTS) Market in the UnitedKingdom in US$ Million by Technology: 2009-2017Table 150: United Kingdom High Throughput Screening (HTS)Market Percentage Share Distribution by Technology: 2009 VS2019 VS 2025Table 151: United Kingdom Demand Estimates and Forecasts forHigh Throughput Screening (HTS) in US$ Million by Application:2018 to 2025Table 152: United Kingdom High Throughput Screening (HTS)Market in US$ Million by Application: 2009-2017Table 153: High Throughput Screening (HTS) Market Share Shiftin the United Kingdom by Application: 2009 VS 2019 VS 2025Table 154: United Kingdom Demand Estimates and Forecasts forHigh Throughput Screening (HTS) in US$ Million by End-Use: 2018to 2025Table 155: United Kingdom High Throughput Screening (HTS)Market in US$ Million by End-Use: 2009-2017Table 156: High Throughput Screening (HTS) Market Share Shiftin the United Kingdom by End-Use: 2009 VS 2019 VS 2025SPAINTable 157: Spanish High Throughput Screening (HTS) MarketEstimates and Forecasts in US$ Million by Product Type: 2018 to2025Table 158: Spanish High Throughput Screening (HTS) HistoricMarket Review by Product Type in US$ Million: 2009-2017Table 159: High Throughput Screening (HTS) Market in Spain:Percentage Share Breakdown of Sales by Product Type for 2009,2019, and 2025Table 160: High Throughput Screening (HTS) Market Analysis inSpain in US$ Million by Technology: 2018-2025Table 161: High Throughput Screening (HTS) Market in Spain:Historic Review in US$ Million by Technology for the Period2009-2017Table 162: Spanish High Throughput Screening (HTS) Market ShareBreakdown by Technology: 2009 VS 2019 VS 2025Table 163: Spanish High Throughput Screening (HTS) MarketQuantitative Demand Analysis in US$ Million by Application:2018 to 2025Table 164: High Throughput Screening (HTS) Market in Spain:Summarization of Historic Demand Patterns in US$ Million byApplication for 2009-2017Table 165: Spanish High Throughput Screening (HTS) Market ShareAnalysis by Application: 2009 VS 2019 VS 2025Table 166: Spanish High Throughput Screening (HTS) MarketQuantitative Demand Analysis in US$ Million by End-Use: 2018 to2025Table 167: High Throughput Screening (HTS) Market in Spain:Summarization of Historic Demand Patterns in US$ Million byEnd-Use for 2009-2017Table 168: Spanish High Throughput Screening (HTS) Market ShareAnalysis by End-Use: 2009 VS 2019 VS 2025RUSSIATable 169: Russian High Throughput Screening (HTS) MarketEstimates and Projections in US$ Million by Product Type: 2018to 2025Table 170: High Throughput Screening (HTS) Market in Russia byProduct Type: A Historic Review in US$ Million for 2009-2017Table 171: Russian High Throughput Screening (HTS) Market ShareBreakdown by Product Type: 2009 VS 2019 VS 2025Table 172: High Throughput Screening (HTS) Market in US$Million in Russia by Technology: 2018-2025Table 173: Russian High Throughput Screening (HTS) MarketRetrospective Analysis in US$ Million by Technology: 2009-2017Table 174: Russian High Throughput Screening (HTS) Market ShareBreakdown by Technology: 2009 VS 2019 VS 2025Table 175: Russian High Throughput Screening (HTS) LatentDemand Forecasts in US$ Million by Application: 2018 to 2025Table 176: High Throughput Screening (HTS) Historic DemandPatterns in Russia by Application in US$ Million for 2009-2017Table 177: High Throughput Screening (HTS) Market ShareBreakdown in Russia by Application: 2009 VS 2019 VS 2025Table 178: Russian High Throughput Screening (HTS) LatentDemand Forecasts in US$ Million by End-Use: 2018 to 2025Table 179: High Throughput Screening (HTS) Historic DemandPatterns in Russia by End-Use in US$ Million for 2009-2017Table 180: High Throughput Screening (HTS) Market ShareBreakdown in Russia by End-Use: 2009 VS 2019 VS 2025REST OF EUROPETable 181: Rest of Europe High Throughput Screening (HTS)Market Estimates and Forecasts in US$ Million by Product Type:2018-2025Table 182: High Throughput Screening (HTS) Market in Rest ofEurope in US$ Million by Product Type: A Historic Review forthe Period 2009-2017Table 183: Rest of Europe High Throughput Screening (HTS)Market Share Breakdown by Product Type: 2009 VS 2019 VS 2025Table 184: Rest of Europe High Throughput Screening (HTS)Market Assessment in US$ Million by Technology: 2018-2025Table 185: Rest of Europe High Throughput Screening (HTS)Historic Market Review in US$ Million by Technology: 2009-2017Table 186: High Throughput Screening (HTS) Market in Rest ofEurope: Percentage Breakdown of Sales by Technology for 2009,2019, and 2025Table 187: Rest of Europe High Throughput Screening (HTS)Addressable Market Opportunity in US$ Million by Application:2018-2025Table 188: High Throughput Screening (HTS) Market in Rest ofEurope: Summarization of Historic Demand in US$ Million byApplication for the Period 2009-2017Table 189: Rest of Europe High Throughput Screening (HTS)Market Share Analysis by Application: 2009 VS 2019 VS 2025Table 190: Rest of Europe High Throughput Screening (HTS)Addressable Market Opportunity in US$ Million by End-Use:2018-2025Table 191: High Throughput Screening (HTS) Market in Rest ofEurope: Summarization of Historic Demand in US$ Million byEnd-Use for the Period 2009-2017Table 192: Rest of Europe High Throughput Screening (HTS)Market Share Analysis by End-Use: 2009 VS 2019 VS 2025ASIA-PACIFICTable 193: Asia-Pacific High Throughput Screening (HTS) MarketEstimates and Forecasts in US$ Million by Region/Country:2018-2025Table 194: High Throughput Screening (HTS) Market inAsia-Pacific: Historic Market Analysis in US$ Million byRegion/Country for the Period 2009-2017Table 195: Asia-Pacific High Throughput Screening (HTS) MarketShare Analysis by Region/Country: 2009 VS 2019 VS 2025Table 196: High Throughput Screening (HTS) Market inAsia-Pacific by Product Type: Estimates and Projections in US$Million for the Period 2018-2025Table 197: Asia-Pacific High Throughput Screening (HTS)Historic Market Scenario in US$ Million by Product Type:2009-2017Table 198: Asia-Pacific High Throughput Screening (HTS) MarketShare Analysis by Product Type: 2009 VS 2019 VS 2025Table 199: Asia-Pacific High Throughput Screening (HTS) MarketEstimates and Projections in US$ Million by Technology:2018-2025Table 200: Asia-Pacific High Throughput Screening (HTS)Historic Market Analysis in US$ Million by Technology:2009-2017Table 201: Asia-Pacific High Throughput Screening (HTS)Historic Market Analysis in US$ Million by Technology: 2009 VS2019 VS 2025Table 202: High Throughput Screening (HTS) Quantitative DemandAnalysis in Asia-Pacific in US$ Million by Application:2018-2025Table 203: Asia-Pacific High Throughput Screening (HTS)Historic Market Review in US$ Million by Application: 2009-2017Table 204: Asia-Pacific High Throughput Screening (HTS) MarketShare Analysis: A 17-Year Perspective by Application for 2009,2019, and 2025Table 205: High Throughput Screening (HTS) Quantitative DemandAnalysis in Asia-Pacific in US$ Million by End-Use: 2018-2025Table 206: Asia-Pacific High Throughput Screening (HTS)Historic Market Review in US$ Million by End-Use: 2009-2017Table 207: Asia-Pacific High Throughput Screening (HTS) MarketShare Analysis: A 17-Year Perspective by End-Use for 2009,2019, and 2025AUSTRALIATable 208: High Throughput Screening (HTS) Market in Australia:Recent Past, Current and Future Analysis in US$ Million byProduct Type for the Period 2018-2025Table 209: Australian High Throughput Screening (HTS) HistoricMarket Analysis in US$ Million by Product Type: 2009-2017Table 210: Australian High Throughput Screening (HTS) MarketShare Breakdown by Product Type: 2009 VS 2019 VS 2025Table 211: Australian High Throughput Screening (HTS) LatentDemand Forecasts in US$ Million by Technology: 2018-2025Table 212: High Throughput Screening (HTS) Market in Australia:A Historic Perspective by Technology in US$ Million for thePeriod 2009-2017Table 213: Australian High Throughput Screening (HTS) MarketShare Breakdown by Technology: 2009 VS 2019 VS 2025Table 214: High Throughput Screening (HTS) Market in Australia:Annual Sales Estimates and Forecasts in US$ Million byApplication for the Period 2018-2025Table 215: Australian High Throughput Screening (HTS) Market inRetrospect in US$ Million by Application: 2009-2017Table 216: High Throughput Screening (HTS) Market ShareDistribution in Australia by Application: 2009 VS 2019 VS 2025Table 217: High Throughput Screening (HTS) Market in Australia:Annual Sales Estimates and Forecasts in US$ Million by End-Usefor the Period 2018-2025Table 218: Australian High Throughput Screening (HTS) Market inRetrospect in US$ Million by End-Use: 2009-2017Table 219: High Throughput Screening (HTS) Market ShareDistribution in Australia by End-Use: 2009 VS 2019 VS 2025INDIATable 220: Indian High Throughput Screening (HTS) MarketEstimates and Forecasts in US$ Million by Product Type: 2018 to2025Table 221: Indian High Throughput Screening (HTS) HistoricMarket Review by Product Type in US$ Million: 2009-2017Table 222: High Throughput Screening (HTS) Market in India:Percentage Share Breakdown of Sales by Product Type for 2009,2019, and 2025Table 223: High Throughput Screening (HTS) Market Analysis inIndia in US$ Million by Technology: 2018-2025Table 224: High Throughput Screening (HTS) Market in India:Historic Review in US$ Million by Technology for the Period2009-2017Table 225: Indian High Throughput Screening (HTS) Market ShareBreakdown by Technology: 2009 VS 2019 VS 2025Table 226: Indian High Throughput Screening (HTS) MarketQuantitative Demand Analysis in US$ Million by Application:2018 to 2025Table 227: High Throughput Screening (HTS) Market in India:Summarization of Historic Demand Patterns in US$ Million byApplication for 2009-2017Table 228: Indian High Throughput Screening (HTS) Market ShareAnalysis by Application: 2009 VS 2019 VS 2025Table 229: Indian High Throughput Screening (HTS) MarketQuantitative Demand Analysis in US$ Million by End-Use: 2018 to2025Table 230: High Throughput Screening (HTS) Market in India:Summarization of Historic Demand Patterns in US$ Million byEnd-Use for 2009-2017Table 231: Indian High Throughput Screening (HTS) Market ShareAnalysis by End-Use: 2009 VS 2019 VS 2025SOUTH KOREATable 232: High Throughput Screening (HTS) Market in SouthKorea: Recent Past, Current and Future Analysis in US$ Millionby Product Type for the Period 2018-2025Table 233: South Korean High Throughput Screening (HTS)

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Stem Cell Concentration System Market Size, Historical Growth, Analysis, Opportunities and Forecast To 2025 – AlgosOnline

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Stem Cell Concentration System Market Size, Historical Growth, Analysis, Opportunities and Forecast To 2025 - AlgosOnline