Tackling TDP43 proteinopathies – Nature.com

Cytoplasmic aggregates of the protein TDP43 are a feature of neurodegenerative diseases including amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD) and Alzheimer disease, but the mechanisms linking TDP43 with neuropathology are not fully understood. A study in Science now shows that aberrant processing of stathmin 2 (STMN2) pre-mRNA, encoding a protein that promotes neuronal health and survival, is a key pathophysiological step downstream of aberrant TDP43 biology. Moreover, antisense oligonucleotides (ASOs) can be used to restore stathmin 2 expression in mouse models.

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doi: https://doi.org/10.1038/d41573-023-00056-2

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Tackling TDP43 proteinopathies - Nature.com

DUSP6 is a memory retention feedback regulator of ERK signaling … – Nature.com

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The synaptic hypothesis of schizophrenia version III: a master ... - Nature.com

Optimization of Cas9 activity through the addition of cytosine … – Nature.com

Cell culture

We cultured mESCs in t2iL medium containing Dulbeccos modified eagle medium (DMEM, Nacalai Tesque), 2mM Glutamax (Nacalai Tesque), 1 non-essential amino acids (Nacalai Tesque), 1mM sodium pyruvate (Nacalai Tesque), 100Uml1 penicillin, 100gml1 streptomycin (P/S) (Nacalai Tesque), 0.1mM 2-mercaptoethanol (Sigma) and 15% fetal bovine serum (FBS) (Gibco), supplemented with 0.2M PD0325901 (Sigma), 3M CHIR99021 (Cayman) and 1,000Uml1 recombinant mouse leukaemia inhibitory factor (Millipore)54. A higher PD0325901 concentration of 1M was used for the 2iL medium. mESC colonies were dissociated with trypsin (Nacalai Tesque) and plated on gelatin-coated dishes. Y-27632 (10M, Sigma) was added when cells were passaged. hiPSCs were cultured in mTeSR Plus medium (Veritas). hiPSC colonies were dissociated with Accutase (Nacalai Tesque) and plated on Matrigel-coated dishes (Corning, 3/250 dilution with DMEM). Y-27632 and 1% FBS were added when cells were passaged. WT hiPSCs (409B2, HPS0076) were provided by the RIKEN BioResource Research Centre (BRC)55. FOP hiPSCs (HPS0376) were provided by RIKEN BRC through the National BioResource Project of the Japan Ministry of Education, Culture, Sports, Science and Technology (MEXT) and the Agency for Medical Research and Development (AMED)43. Experiments using hiPSCs were approved by the Kyushu University Institutional Review Board for Human Genome/Gene Research. HEK293T cells and mouse embryonic fibroblasts were cultured in 10% FBS medium containing DMEM, 2mM l-glutamine (Nacalai Tesque), 100Uml1 penicillin, 100gml1 streptomycin (P/S) (Nacalai Tesque) and 10% FBS. hADSCs (Thermo Fisher) were cultured in MesenPRO RS medium (Thermo Fisher). Culture conditions of a HB-AIMS cell line are described in the Generation of AIMS cell lines and mice and AIMS analysis section. Cells were maintained at 37C and 5% CO2.

In this study, we used C57BL/6 mice (Clea Japan), ICR mice (Clea Japan) and R26RYFP/YFP mice (a gift from Frank Costantini at Columbia University, NY, USA)56. The experiments were approved by the Kyushu University Animal Experiment Committee, and the care and use of the animals were in accordance with institutional guidelines.

All primers, spacer linkers and ssODNs used in the present study are listed in Supplementary Table 3.

Mouse ES B6-5-2 and B6-D2-4 cell lines were established from E3.5 blastocysts of the C57BL/6 strain using 2iL and t2iL medium, respectively; an R26RYFP/+ mESC line was established using t2iL medium. Blastocysts were placed on feeders (mitomycin C-treated mouse embryonic fibroblasts) after removal of the zona pellucida. Inner cell mass outgrowths (passage number 0, p0) were dissociated with trypsin and plated on gelatin-coated plates (p1). After domed colonies formed, they were dissociated and passaged (p2). mESC lines were generated by repeating this procedure.

Knock-in (KI) template plasmids for Cdh1-AIMS were generated by attaching the 5 and 3 arms to plasmids containing P2A1:Venus or P2A1:tdTomato cassettes. P2A1 is identical to a widely used P2A sequence26. The 5 arm was designed such that the coding end was fused in-frame to the P2A sequence to allow independent production of both E-cadherin (CDH1) and fluorescence protein. KI plasmids for Tbx3-AIMS were constructed using the same strategy. The alternative P2A sequence P2A2 was constructed by introducing silent mutations to each codon of the original P2A sequence. The conventional CRISPR-Cas9 system was used to efficiently knock-in the dual-colour plasmids in a pair of alleles. A spacer linker was designed to induce a DSB downstream of the stop codon, then inserted into the BpiI sites of a pSpCas9(BB)-2A-Puro (PX459) V2.0 plasmid (Addgene, 62988; see the Plasmid construction section)57. All sgRNAs used in this study were designed using the CRISPR DESIGN (http://crispr.mit.edu/) or CRISPOR tool (http://crispor.tefor.net).

The constructed all-in-one CRISPR plasmids and dual-coloured KI plasmids were co-transfected into mESCs using Lipofectamine 3000 (Thermo Fisher). Dissociated mESCs were plated on gelatin-coated 24-well plates with 500l of (t)2iL+Y-27632 medium ((t)2iL+Y). Nucleic acidLipofectamine 3000 complexes were prepared in accordance with the standard Lipofectamine 3000 protocol. We added 1l of Lipofectamine 3000 reagent to 25l Opti-MEM medium; simultaneously, 250ng of each plasmid (all-in-one, Cdh1-P2A-tdTomato and Cdh1-P2A-Venus plasmid) plus 1l of P3000 reagent were mixed with 25l of Opti-MEM medium in a different tube. These mixtures were combined and incubated for 5min at room temperature, then added to the 24-well plate immediately after cells were seeded. At 24h after transfection, puromycin (1.5 or 2gml1) was added for 2d and then washed out. The transiently treated puromycin-resistant cells were cultured for several days; dual-colour-positive colonies were picked and passaged. Genotypes for the candidate dual KI clones were confirmed by PCR. In this study, transfection experiments for mouse and human cells were performed using this procedure, with passage steps added for an AIMS assay to avoid mosaicism (Fig. 1d). Fluorescence microscopes (BZ-X800 (Keyence) and IX73 (Olympus)) were used to analyse the AIMS data. To extract genomic DNA for clonal sequence analysis, single mESC and hiPSC colonies were suspended in 510l 50mM NaOH (Nacalai Tesque) and incubated at 99C for 10min. PCR was performed using the template genomic DNA, and the amplicons were sequenced by Sanger sequencing.

For generation of AIMS mice, the established dual KI mESC clone (Cdh1-P2A1-tdTomato/Venus AIMS) was dissociated with trypsin and 58 cells were injected into 8-cell embryos (E2.5) collected from pregnant ICR mice. Injected blastocysts were transferred into the uteri of pseudo-pregnant ICR mice and chimaeras were generated. Male chimaeras were mated with C57BL/6 females, and Cdh1-P2A1-tdTomato and Cdh1-P2A1-Venus KI mouse lines were obtained through germline transmission. After the two genotype mice were mated, homozygous AIMS mice were generated.

HB-AIMS cells were established from the E12.5 dual KI embryos according to the protocol of a previous work58 with some modifications. Briefly, the whole liver was mechanically dissociated and filtrated, and the dissociated cells were seeded onto a type I collagen-coated plate (Iwaki) with the HB medium. The HB medium is composed of a 1:1 mixture of DMEM and F-12 (Nacalai Tesque), supplemented with 10% FBS (Gibco), 1gml1 insulin (Wako), 0.1M dexamethasone (Sigma-Aldrich), 10mM nicotinamide (Sigma-Aldrich), 2mM l-glutamine (Nacalai Tesque), 50M -mercaptoethanol (Nacalai Tesque), 20ngml1 recombinant human hepatocyte growth factor (rhHGF) (PeproTech), 50ngml1 recombinant human epidermal growth factor (rhHGF) (Sigma), penicillin/streptomycin (Nacalai Tesque), and small molecules of 10M Y-27632 (Wako), 0.5M A8301 (Tocris) and 3M CHIR99021 (Tocris). After expansion of HBs, a single-cell-derived HB colony with homogeneous expression of tdTomato and Venus was picked and established as an HB-AIMS cell line.

To generate all-in-one CRISPR plasmids for [5C](3A), [10C](8A), [15C](13A), [20C](18C), [25C](23A) and [30C](28A)sgRNA expression, spacer linkers were inserted into the BpiI sites of a PX459 plasmid (Extended Data Fig. 2b). In the plasmids, the 3rd, 8th, 13th, 18th, 23rd or 28th cytosine was replaced with adenine because the overhang sequence of CACC is required for linker ligation. The standard spacer linkers (20nt) or longer spacer linkers (30nt or 40nt) were inserted into the BpiI sites of the [0C], [5C](3A), [10C](8A), [15C](13A), [20C](18A), [25C](23A) or [30C](28A) PX459 plasmid, leading to generation of [5C][30C]sgRNA-expressing all-in-one Cas9 plasmids applicable for puromycin selection. The same [C] linkers were also inserted into the BpiI sites of a PX458 plasmid (Addgene, 62988)57 for selection of GFP-positive transfected cells.

For the plasmid dilution assay, sgRNA-expressing plasmid was constructed by removing a Cas9-T2A-Puro cassette from a PX459 plasmid using the KpnI and NotI sites. Different amounts of sgRNA-expressing plasmid (0250ng) were co-transfected with an unmodified PX459 plasmid (250ng). In addition, [5C][30C] linkers including BpiI sites were inserted into this sgRNA-expressing plasmid to construct [5C][30C]sgRNA-expressing plasmids, which were used for the experiments of CRISPRa (Extended Data Fig. 4e) described below.

For the CRISPR inhibition experiments, the pCMVAcrIIA4 plasmid was generated from the anti-Cas9 AcrIIA4-expressing pCMV+AcrIIA4 plasmid, pCMV-T7-AcrIIA4-NLS(SV40) (KAC200) (Addgene, plasmid 133801)59, by truncating the AcrIIA4 cassette using the NotI and AgeI sites.

For the CRISPRi experiments, the [5C][30C] linkers including BsmBI sites were inserted into the BsmBI sites of an LV hU6-sgRNA hUbC-dCas9-KRAB-T2a-Puro (sgRNA-KRAB-Puro) plasmid (Addgene, 71236)60 to construct [C]sgRNA-expressing all-in-one CRISPRi plasmids. The sgRNA spacers targeting BRCA1 and CXCR4 used in previous studies61 were inserted into the BsmBI sites of the all-in-one plasmids. A puromycin-selectable all-in-one plasmid for CRISPRa was constructed by replacing a GFP cassette of a pLV hU6-gRNA(anti-sense) hUbC-VP64-dCas9-VP64-T2A-GFP (sgRNA-VP64-GFP) plasmid (Addgene, 66707) with a puromycin N-acetyl transferase (PuroR) cassette. A synthetic gene encoding VP64-T2A-PuroR (AZENTA) (Supplementary Table 3) was inserted into the sgRNA-KRAB-GFP plasmid using NheI and AgeI sites, resulting in an sgRNA-VP64-Puro plasmid. In Fig. 4e, the [1C][10C] spacer linkers for targeting ASCL162 were inserted into the sgRNA-VP64-Puro plasmid. In Extended Data Fig. 4e, spacer linkers for targeting ASCL1 and TTN62 were inserted into the BpiI sites of the [0C][30]sgRNA-expressing plasmids, and then they were co-transfected with the spacerless all-in-one CRISPRa plasmid.

To construct all-in-one AsCpf1 plasmids enabling puromycin selection, a synthetic DNA fragment encoding U6 promoter and two BpiI sites (AZENTA) (Supplementary Table 3) was inserted into a PX459 plasmid while removing a U6-gRNA cassette using PciI and XbaI sites. Next, a CBh-Cas9 region of the crRNA-Cas9-puro plasmid was replaced with a CBh-AsCpf1 fragment digested from a pY036_ATP1A1_G3_Array plasmid (Addgene, 86619)63 using KpnI and FseI, resulting in the construction of an all-in-one crRNA-AsCpf1-puro plasmid (PX459 plasmid backbone). The crRNA linkers (Supplementary Table 3) targeting P2A2 sites of AIMS are composed of 5 hairpin, 20nt-spacer and U4AU4 3-overhang, which is known to increase editing efficiency of AsCpf1 (ref. 64), and they were inserted into the BpiI sites of the crRNA-AsCpf1-puro plasmid.

pSpCas9(BB)-2A-Puro (PX459) V2.0 (Addgene, plasmid 62988; http://n2t.net/addgene:62988; RRID: Addgene_62988) and pSpCas9(BB)-2A-GFP (PX458) (Addgene, plasmid 48138; http://n2t.net/addgene:48138; RRID: Addgene_48138) were gifts from Feng Zhang. The pY036_ATP1A1_G3_Array was a gift from Yannick Doyon (Addgene, plasmid 86619; http://n2t.net/addgene:86619; RRID: Addgene_86619). pLV hU6-sgRNA hUbC-dCas9-KRAB-T2a-Puro was a gift from Charles Gersbach (Addgene, plasmid 71236; http://n2t.net/addgene:71236; RRID: Addgene_71236). pLV hU6-gRNA(anti-sense) hUbC-VP64-dCas9-VP64-T2A-GFP was a gift from Charles Gersbach (Addgene, plasmid 66707; http://n2t.net/addgene:66707; RRID: Addgene_66707). pCMV-T7-AcrIIA4-NLS(SV40) (KAC200) was gifted by Joseph Bondy-Denomy and Benjamin Kleinstiver (Addgene, plasmid 133801; http://n2t.net/addgene:133801; RRID: Addgene_133801)59.

To detect sgRNAs complexed with Cas9, 1l of Cas9 (1M) (Alt-R S.p. Cas9 Nuclease V3, IDT) and 1l of synthetic sgRNAs (3M, 1M or 0.3M; IDT) were mixed with 8l of distilled water (total reaction volume of 10l) and reacted on ice for 30min. Samples were loaded onto Bullet PAGE One Precast gels (6%) (Nacalai Tesque) in Tris-borate-ethylenediaminetetraacetic acid (Tris-Borate-EDTA) buffer. RNA was transferred to a Hybond N+ membrane (GE Healthcare) and cross-linked using CX-2000 (Analytik Jena). An sgRNA tracer probe was labelled with an alkali-labile digoxigenin (DIG)-11-deoxyuridine triphosphate (dUTP) using a PCR DIG Probe Synthesis kit (Roche); DNA fragments were amplified using PCR and primers (Supplementary Table 3). After hybridization, specific bands were visualized with the CDP-Star reagent (Roche) using a luminescent image analyser (LAS-3000, FUJIFILM).

To detect DNA fragments complexed with sgRNA-dCas9, we mixed 1l of dCas9 (1M) (Alt-R S.p. dCas9 Nuclease V3, IDT) and 1l of synthetic sgRNAs (1M; IDT) with distilled water for a final reaction volume of 10l, then reacted the mixture at room temperature for 10min. After the reaction, the RNP complex was mixed with 100ng of DNA fragment and 1l of 10 Cas9 reaction buffer (1M HEPES, 3M NaCl, 1M MgCl2 and 250mM EDTA (pH 6.5)), then reacted at room temperature for 10min. The resulting 10l samples were loaded onto 2% agarose gels in Tris-acetate-EDTA buffer; DNA bands were detected by staining with ethidium bromide. The target DNA fragment (647bp) was prepared by PCR amplification from a Tbx3-P2A1-Venus KI plasmid using primers (Supplementary Table 3).

The sgRNA-Cas9-DNA complex was formed using most of the gel shift assay procedure, although its formation also included Cas9 and 3M of synthetic sgRNA. The samples were reacted at 37C for 90min, denatured at 70C for 10min and loaded onto Bullet PAGE One Precast gels (6%) (Nacalai Tesque).

A 20l sgRNA-Cas9-DNA complex was prepared via the procedure used in the gel shift assay. A cleavage reaction was performed at 37C for 30min; a 10l volume was kept on ice while the other 10l volume was denatured at 70C for 10min. The products were loaded onto 2% agarose gels.

Total RNAs were extracted from mESCs at 68h after transfection with P2A1-[C]sgRNA1-PX459 plasmids. Transfected cells were selected by 2d of treatment with puromycin (1.5gml1), then resuspended with ISOGEN II (NIPPON GENE). The samples were incubated for 10min at room temperature, then heated at 55C for 10min. Total RNA was isolated following the manufacturers protocol. After reaction at 70C for 10min, 30g RNAs were loaded onto Extra PAGE One Precast gels (520%) (Nacalai Tesque) in Tris-borate-EDTA buffer. RNA transfer, DIG-probe hybridization and signal detection were performed following the procedure used in the gel shift assay. The DIG probe was labelled by PCR amplification of the DNA fragment (primers shown in Supplementary Table 3). The mU6 DIG-probe was prepared by amplifying the DNA fragment from mESC complementary DNA using specific primers (Supplementary Table 3). cDNA was synthesized using a specific primer that targeted U6 small nuclear RNA65.

Template DNA fragments required for IVT were amplified from a P2A1-gRNA1-PX459 plasmid by PCR (primers shown in Supplementary Table 3). The T7 promoter sequence and cytosine tails were added to the 5-end of the forward primer. We synthesized [0C], [10C] and [25C]sgRNAs using the T7 RiboMAX Express large-scale RNA production system (Promega) following the manufacturers protocol.

FIJI software was used to quantify band signals for the gel shift, DNA cleavage and northern blot assays.

The PX458-based all-in-one plasmids (250ng) for targeting VEGFA1 gene were transfected into hADSCs using Lipofectamine 3000 upon 80% confluency. Immediately after adding the plasmid:Lipofectamine mixture into the cells, the plates were centrifuged at 700g at 35C for 10min to increase transfection efficiency. The cells were cultured for 7d without passaging to allow continuous expression of the plasmid, and then GFP-positive single cells were picked using a hand-made capillary and transferred to PCR tubes (1 cell per tube). To enable sequence analysis for a pair of alleles from a single cell, whole genomic DNA were amplified using PicoPLEX (TAKARA) according to the manufacturers instructions. The genomic locus targeted by Cas9 was amplified by PCR using primers (Supplementary Table 3) and the PCR amplicons were sequenced.

At 24h after transfection with the all-in-one Cas9 plasmid, mESCs were treated with the Cas9 inhibitor BRD0539 (TOCRIS) during puromycin selection and subsequent culture until analysis.

pCMV+AcrIIA4 plasmid was co-transfected with 250ng of the all-in-one Cas9 plasmid in different amounts (2.52,500ng for 24-well plates). For the BRD0539 and AcrIIA4 experiments, puromycin selection and indel analysis were performed using the same procedure as described above (Generation of AIMS cell lines and mice and AIMS analysis section) and in Fig. 1d.

A day before transfection, 3104 HEK293T cells were seeded onto a 96-well plate. The all-in-one CRISPRa/i plasmids (50ng, 1/5 scale of the 24-well plate version) were transfected and cultured for 24h. Then, puromycin (5.0gml1) was treated for 2d to exclude untransfected cells. After removal of puromycin, the transfected cells were cultured for 1d and 2d for CRISPRa and CRISPRi, respectively, and total RNAs were extracted using ISOGEN II as described above (Northern blotting section).

The cDNAs were synthesized from total RNAs using SuperScript III Reverse Transcriptase (Thermo Fisher) according to the manufacturers instructions. RTqPCR was conducted using a THUNDERBIRD SYBR qPCR Mix (Toyobo) and CFX Connect real-time PCR detection system (BIO RAD) according to the manufacturers instructions. Primers for ASCL1, TTN, BRCA1 and CXCR4 used in previous studies61,62, and for GAPDH are listed in Supplementary Table 3. The values for GAPDH were used as normalization controls.

A Tbx3-P2A1-tdTomato KI plasmid was co-transfected with Tbx3-sgRNA1-expressing PX459 to the mESCs. After transient puromycin selection, colonies were dissociated and passaged; the resulting colonies were analysed. Colonies with mosaic tdTomato expression were excluded from data analysis. After the colonies had been counted, positive tdTomato colonies were selected and genomic DNA was extracted for sequencing.

The neomycin (Neo) KI plasmid was constructed by replacing the tdTomato cassette of the Tbx3-P2A1-tdTomato KI plasmid with a P2A1-Neo cassette. The KI plasmid was co-transfected with P2A1 sgRNA1-expressing PX459 to a Tbx3-P2A1-AIMS clone. When puromycin was removed, geneticin (400gml1, Gibco) was added to select KI clones. All eight clones were confirmed to possess KI genotypes; geneticin-resistant colonies were identified as KI.

PCR reactions to amplify specific on-target or off-target sites were performed using KOD-Plus-ver.2 DNA polymerase (Toyobo) in accordance with the manufacturers protocol. The resulting PCR amplicons were denatured and re-annealed in 1 NEB buffer 2 (NEB) in a total volume of 9l under the following conditions: 95C for 5min, reduction from 95C to 25C at a rate of 0.1Cs1 and indefinite incubation at 4C. After re-annealing had been performed, 1l of T7 endonuclease I (NEB, 10Ul1) was added and the product was incubated at 37C for 15min.

Purified PCR products to amplify specific on-target or off-target sites were inserted into a T-easy vector (Promega) and transformed into DH5- bacterial cells. For rapid and efficient indel detection, plasmids were directly isolated from each white colony after blue/white screening; the inserted DNA fragment was amplified by PCR. The PCR amplicons were mixed with PCR products amplified from a WT DNA template such as KI plasmid or unedited genomic DNA; a T7E1 assay was then performed. Sanger sequencing was also performed for PCR amplicons that were not digested by T7E1 to determine the total number of colonies that harbour indels. The Bac[P] value was calculated as follows: Bac[P]=Indel/Total.

Bac[P] values for both WT and R206H alleles were determined through indel induction experiments using various [C]sgRNAs in the mESC clone of the FOP model. The targeting sites of both WT and R206H alleles were amplified by PCR, then cloned into a T-easy vector. Sanger sequencing was performed for each PCR product that had been derived from single bacterial clones, as described above. Similarly, Bac[P] values for both R206H (pf) and WT (1mm) alleles were determined by inducing indels in FOP hiPSCs; a corrected cell line (WT/Corrected) was used to determine the Bac[P] value of the corrected allele (2mm). Some PCR products did not contain a G/A hallmark because of intermediate-sized deletions (12~50 nucleotides); it was therefore impossible to determine which allele was edited for these PCR products. We observed that the fraction of such products with intermediate-sized deletions was generally constant (~20% in experiments shown in Fig. 6 and 1020% in experiments shown in Fig. 7) and did not decrease with [C] extension, suggesting that such intermediate-sized deletions are byproducts of the short indel induction processes. Therefore, we assigned products with intermediate-sized deletions to two alleles using the ratio of PCR products with convincingly confirmed origins. For the analysis shown in Fig. 7, we calculated the means of Bac[P] for WT (1mm) alleles on the basis of comparisons of R206H (pf) to WT (1mm) alleles and WT (1mm) to corrected (2mm) alleles for subsequent computational analyses.

Using the transfection protocol described above (Generation of AIMS cell lines and mice and AIMS analysis), 2105 WT hiPSCs or 4104 HEK293T cells were seeded onto 48-well plates and transfected with 100ng of all-in-one CRISPR plasmids (2/5 scale of the 24-well plate version). hiPSCs were dissociated and counted using trypan blue at 3 or 4d after transient puromycin treatment (1.5gml1); HEK293T cells were counted at 4d after transient puromycin treatment (3gml1). The data obtained by this procedure are indicated as Cell number in the Figures.

Biochemical assays were also performed using Cell Count Reagent SF reagent according to the manufacturers instructions (Nacalai Tesque). The Cdh1-P2A1-AIMS mESCs (2104 cells) were seeded onto 96-well plates and transfected with 50ng of all-in-one plasmids (1/5 scale of the 24-well plate version). Two days after puromycin selection, absorbance at 450nm was measured by Multiskan FC (Thermo Fisher). The data obtained from the biochemical assay are indicated as Cell viability (%) in Fig. 4d and Extended Data Fig. 4c by setting the data for [0C] and 0mM as a reference value (1.0), respectively.

For the AcrIIA4 experiments (Fig. 4c and Extended Data Fig. 4b), the Cdh1-P2A1-AIMS mESCs (3104 cells) were seeded onto 96-well plates and 50ng of all-in-one plasmids were co-transfected with different amounts of pCMV+AcrIIA4 and/or pCMVAcrIIA4 plasmids (1/5 scale of the 24-well plate version). In Fig. 4c and Extended Data Fig. 4b, we observed cytotoxicity for higher doses of AcrIIA4 expression plasmids. Similar cytotoxicity profiles were obtained in the absence of the Cdh1-P2A1-sgRNA1 target sequence in WT mESCs.

The transfection protocol for the 24-well plate experiment was performed as described above (Generation of AIMS cell lines and mice and AIMS analysis). For HDR induction in mESCs, WT hiPSCs and HEK293T cells, 1l of 10M ssODN (Eurofins) was added to the plasmidLipofectamine complex; for hiPSC transfection, 1l of 3M ssODN was added because a concentration of 10M induced severe toxicity. After transient puromycin selection, colonies were dissociated and plated at low density to avoid mosaicism. Single colonies were selected and genomic DNA was extracted. Sequence analysis was performed to identify G to A replacement with or without indels. To correct the FOP hiPSCs, clones that underwent HDR were screened by digesting the PCR product using the BstUI restriction enzyme (NEB); BstUI-positive PCR products were then sequenced. A silent mutation was inserted into the ssODN to generate the BstUI site and to distinguish an HDR-corrected (Corrected) allele from an original WT allele. Without this hallmark, WT/ clones, in which PCR amplicons from the R206H allele cannot to be obtained because of large deletions or more complex genomic rearrangement, would be misidentified as WT/Corrected clones.

For p53 staining, we performed transfection for HDR induction (1/5 scale of the 24-well plate version), using the protocol described above. In this assay, 6104 hiPSCs were seeded on a Matrigel-coated 96-well plate in triplicate. Puromycin selection was performed to examine p53 activity solely in transfected cells. The surviving cells were fixed with 4% paraformaldehyde at 2d after puromycin removal. For pSmad1/5/8 staining, 5103 cells were plated on a Matrigel-coated 96-well plate without Y-27632 and with 1% FBS. After 2.5h of culture, activin-A (100ngml1) (R & D Systems) was administered for 30min; cells were fixed with 4% paraformaldehyde. Antibody reactions were performed in accordance with standard protocols. Rabbit polyclonal p53 (FL-393, Santa Cruz, 1:200) and rabbit monoclonal pSmad1/5/8 (D5B10, Cell Signaling Technology, 1:1,000) antibodies were reacted overnight at 4C. Donkey anti-rabbit Alexa Fluor 488 secondary antibody (Thermo Fisher, 1:1,000) was reacted at room temperature for 30min. Data analysis was performed using a cell count application associated with a fluorescent microscope to select cells with p53 and pSmad1/5/8 activation by means of fluorescence intensity thresholds (BZ-X800, Keyence).

An mESC clone of an FOP model (R26RYFP/+ mESC line) was dissociated with trypsin and 58 cells were injected into 8-cell embryos (E2.5) collected from pregnant ICR mice. Injected blastocysts were transferred into the uteri of pseudo-pregnant ICR mice. Chimaeric contribution was confirmed by coat colour and YFP fluorescence. YFP was observed using a fluorescence stereo microscope (M165FC, Leica).

In this study, the probability of single-allele editing (P) was determined using AIMS and a Bac[P] assay, on the basis of a T7E1 assay, complemented by sequence validation. AIMS-based P (AIMS[P]) was determined as follows:

$$begin{array}{*{20}{c}} {mathrm{AIMS}left[ {mathrm{P}} right] = frac{{left( {2Fleft( {mathrm{Bi}} right) + Fleft( {mathrm{Mono}} right)} right)}}{2}} end{array}$$

(1)

where F(Bi) and F(Mono) are the experimental frequencies of cells with bi-allelic and mono-allelic genome editing, respectively.

The efficiency of the single-allele editing P (P(pf), where pf denotes perfect match) can be described as follows:

$${{mathrm{P}}left( {pf} right) = frac{S}{{K + S}}}$$

(2)

where the concentration of effective sgRNA-Cas9 complexes and the dissociation constant between the sgRNA and its target site are defined as S and K, respectively. On the basis of high editing efficiency without [C] extension (P=approximately 1), we assumed that the recovery rate from single-site damage was very low; therefore, it was neglected in subsequent analyses. To mechanistically understand the effects of [C] extension and 1mm, we assumed that [C] extension and 1mm decreased S and increased K, respectively. By setting S=1 for each sgRNA sequence without [C] extension, we approximated K values for each of eight sgRNA sequences. When P (AIMS[P] or Bac[P]) was 1, P was set to 0.99. Next, the relative S concentrations were determined using K and AIMS[P] for sgRNAs with [C] extension. Despite variation in the relationships between [C] extension and AIMS[P] among sgRNA sequences (Fig. 2f), we found clear and similar inverse relationships between [C] extension and relative S values for different sgRNA sequences (Extended Data Fig. 3d). Linear regression analysis demonstrated a good fit for the logarithm of the ratio of S to the length of [C] extension for all sgRNA sequences (Fig. 2g). Analysis of covariance (ANCOVA) indicated that the linear regression slopes did not significantly differ among various sgRNA sequences (Fig. 2h). This finding suggests that [C] extension exerts uniform suppression effects on diverse sgRNA sequences.

Since we observed that [C] extension modestly decreased target cleavage (Fig. 3c), we also performed similar analysis by gradually increasing K according to the length of [C] extension and observed that [C] extension gradually decreases S in a similar manner. In this setting, the effects on S became weaker. However, we observed that the dynamic range of suppression in northern blot analysis (Fig. 3f, ~6,000-fold change at [30C]) was more comparable to the range of change in S with constant K (~2,000-fold change at [30C]) relative to the range of change in S with increased K (~400-fold and 200-fold change with 5-fold and 10-fold increases in K at [30C], respectively). Therefore, this suggests that the effects on complex formation may be dominant, allowing determination of the single-allele editing probability in the cells.

In the initial phase of this study, we compared matched AIMS[P] and Bac[P] values for nine sgRNAs (that is, Cdh1-P2A1-sgRNA1 with different [C] extension lengths) and observed that AIMS[P] was strongly correlated with Bac[P] (Extended Data Fig. 5a). In our subsequent analyses, we used AIMS[P] to model indel insertion frequency (Figs. 2 and 5, and Extended Data Fig. 6) and Bac[P] to model HDR frequency (Figs. 6 and 7).

AIMS error was calculated as the difference between raw AIMS[P] and adjusted AIMS[P] (adjusted AIMS[P]AIMS[P]) (Fig. 1h). The raw AIMS[P] is simply based on fluorescence patterns. Therefore, in Fig. 1e, rare tdTomato+/Venusindel and tdTomatoindel/Venus+ heterozygous clones were grouped into mono-allelic clones. To determine the exact number of bi-allelic indel clones, these ostensibly heterozygous clones were analysed for sequencing (Seq-indel data). When sequencing these clones, most (86%) of these ostensibly heterozygous clones turned out to be homozygous. Adjusted AIMS[P] incorporates Seq-indel data together with fluorescence patterns. In most analyses, we used raw AIMS[P].

T7E1 error was calculated as Bac[P]T7E1:Bac[P] (Fig. 1i,j). T7E1:Bac[P] is the indel probability calculated from the rate of T7E1 sensitive clones, while Bac[P] is the indel probability calculated considering the Seq-indel data. The Seq-indel data were the exact numbers of indel clones that were not digested by T7E1, as determined by sequencing PCR products.

We performed extensive analyses using a combination of AIMS and sgRNAs with various types of [C] extensions. When editing efficiency was homogeneous across the cell population, we estimated the frequencies of cells with bi-allelic, mono-allelic or no genome editing (that is, F(Bi), F(Mono) or F(No)) as follows:

$${F(mathrm{Bi}) = mathrm{AIMS}[{mathrm{P}}]^2}$$

(3)

$${F(mathrm{Mono}) = 2mathrm{AIMS}[{mathrm{P}}]left( {1 - mathrm{AIMS}left[ {mathrm{P}} right]} right)}$$

(4)

$${Fleft( {mathrm{No}} right) = left( {1 - mathrm{AIMS}left[{mathrm{P}}right]} right)^2}$$

(5)

Using these equations, we observed that actual F(Mono) was lower than estimated F(Mono), particularly at intermediate AIMS[P] levels (AIMS[P]=~0.5). Therefore, we considered genome editing frequency heterogeneity at the single-cell level, which we modelled using a beta distribution. The probability density functions of P and mean P (E(P)) were calculated as follows:

$${fleft( {{mathrm{P}};alpha ,beta } right) = frac{{{mathrm{P}}^{alpha - 1}left( {1 - {mathrm{P}}} right)^{beta - 1}}}{{Bleft( {alpha ,beta } right)}}}$$

(6)

$${Eleft( {mathrm{P}} right) = frac{alpha }{{alpha + beta }}}$$

(7)

where the mean P corresponds to AIMS[P] (or Bac[P]) and and are exponents of P and its complement to 1. Using the beta distribution, F(Bi), F(Mono) and F(No) were described as follows:

$${F(mathrm{Bi}) = mathop {smallint }limits_0^1 {mathrm{P}}^2fleft( {{mathrm{P}};alpha ,beta } right)dP}$$

(8)

$${F(mathrm{Mono}) = mathop {smallint }limits_0^1 2{mathrm{P}}(1 - {mathrm{P}})fleft( {{mathrm{P}};alpha ,beta } right)dP}$$

(9)

$${Fleft( {mathrm{No}} right) = mathop {smallint }limits_0^1 (1 - {mathrm{P}})^2fleft( {{mathrm{P}};alpha ,beta } right)dP}$$

(10)

Using these equations, we determined values for each experiment that minimized the squared residuals between experimental F(Bi), F(Mono) and F(No), and simulated F(Bi), F(Mono) and F(No) (Extended Data Fig. 5b). As shown in Extended Data Fig. 5b, we observed that optimized values were generally constant for a wide range of AIMS[P] (0.1

As described above, 1mm (or 2mm) increases K in equation (2). The efficiency of the single-gene editing P on the 1mm (or 2mm) target can be described as follows:

$${{mathrm{P}}left( {1mathrm{mm};or;2mathrm{mm}} right) = frac{S}{{mK + S}}}$$

(11)

where m is the ratio of K for the 1mm target to K for the perfect match target. Thus, the single-gene editing P for 1mm (or 2mm) can be expressed as the function of P(pf), as follows:

$${{mathrm{P}}left( {1mathrm{mm};or;2mathrm{mm}} right) = frac{{{mathrm{P}}left( {pf} right)}}{{left( {1 - m} right){mathrm{P}}left( {pf} right) + m}}}$$

(12)

For the results shown in Figs. 6 and 7, we determined values of m that fit P(pf) and P(1mm or 2mm), using SSR as the error function (Fig. 6g). The ratios of P(pf) and P(1mm or 2mm) can also be described as functions of P(pf), as follows:

$${frac{{{mathrm{P}}(1mathrm{mm};or;2mathrm{mm})}}{{{mathrm{P}}(pf)}} = frac{1}{{left( {1 - m} right){mathrm{P}}left( {pf} right) + m}}}$$

(13)

$${frac{{{mathrm{P}}left( {pf} right)}}{{{mathrm{P}}left( {1mathrm{mm};or;2mathrm{mm}} right)}} = left( {1 - m} right){mathrm{P}}left( {pf} right) + m}$$

(14)

As shown in Fig. 6h, decreasing P(pf) contributes to the reduction in relative off-target ratio and enhancement of specificity. Thus, reduction in CRISPR-Cas9 activity through [C] extension is beneficial for reducing the relative off-target activity and enhancing specificity.

Using the beta distribution, the frequencies of the various HDR clones shown in Fig. 6 were determined as follows (Extended Data Fig. 7c,d):

$${F(mathrm{WT}/mathrm{R206H}) = mathop {smallint }limits_0^1 2h{mathrm{P}}(1 - {mathrm{P}})(1 - (1 - h){mathrm{P}}^{prime} )fleft( {{mathrm{P}};alpha ,beta } right)dP}$$

(15)

$${F(mathrm{WT}/mathrm{R206H} + mathrm{indel}) = mathop {smallint }limits_0^1 2h(1 - h){mathrm{P}}(1 - {mathrm{P}}){mathrm{P}}^{prime} fleft( {{mathrm{P}};alpha ,beta } right)dP}$$

(16)

$${F(mathrm{indel}/mathrm{R206H}) = mathop {smallint }limits_0^1 2h(1 - h){mathrm{P}}^2(1 - (1 - h){mathrm{P}}^{prime})fleft( {{mathrm{P}};alpha ,beta } right)dP}$$

(17)

$${F(mathrm{indel}/mathrm{R206H} + mathrm{indel}) = mathop {smallint }limits_0^1 2h(1 - h)^2{mathrm{P}}^2{mathrm{P}}^{prime} fleft( {{mathrm{P}};alpha ,beta } right)dP}$$

(18)

$${F(mathrm{R206H}/mathrm{R206H}) = mathop {smallint }limits_0^1 h^2{mathrm{P}}^2fleft( {{mathrm{P}};alpha ,beta } right)dP}$$

(19)

$${Fleft( {mathrm{overall};mathrm{HDR}} right) = mathop {smallint }limits_0^1 left( { - h^2{mathrm{P}}^2 + 2hP} right)fleft( {{mathrm{P}};alpha ,beta } right)dP}$$

(20)

where the efficiency of HDR on the Cas9-cleaved single allele is defined as h. The probability of single-gene editing on the edited (that is, 1mm) target is P' (Extended Data Fig. 7d), which is described in a manner similar to equation (12), as follows:

$${mathrm{P}^{prime} = frac{{mathrm{P}}}{{left( {1 - m} right){mathrm{P}} + m}}}$$

(21)

where m=1.723. P is decreased according to the [C] extension length (Extended Data Fig. 7e).

For simplicity, we considered h to be constant across the cell population in each experiment. On the basis of the experimental overall HDR frequency results and equation (20), we estimated h for each [C] extension (Fig. 6f). Although h was very low for sgRNAs without [C] extension (2.07%), h for sgRNAs with [C] extension was generally high (~11%). This result suggests that the conventional system without [C] extension suppresses HDR; [C] extension releases this suppression to allow HDR to reach its upper limit. On the basis of these findings, we used the mean estimated h (10.99%) for [C]-extended sgRNAs; we estimated the frequencies of distinct HDR patterns, overall HDR and precise HDR (Fig. 6i,j). For sgRNAs without [C] extension, we used the estimated h (2.07%). The simulated data adequately fit the experimental results (Fig. 6ik). To predict continuous HDR outcomes, we designed a hypothetical function for h for the range of P, such that h=2.07% for P>0.9 and h=10.99% for P<0.9 (Extended Data Fig. 7f); we estimated the frequencies of distinct HDR patterns, overall HDR and precise HDR (Extended Data Fig. 7g). In the simulation, precise HDR reached a maximum at P=0.313 (Extended Data Fig. 7e,g).

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Optimization of Cas9 activity through the addition of cytosine ... - Nature.com

CGMP-compliant iPSC manufacturing and development of … – Drug Target Review

In this webinar, experts will discuss the current state-of-the-art for iPSC generation and differentiation. The presentation will also highlight the development of advanced CGMP-compatible protocols for converting these cells into several cell types of therapeutic relevance.

Despite the potential benefits of induced pluripotent stem cells (iPSCs) to differentiate into multiple cell lineages and serve in regenerative medicine and immune cell therapy, CGMP-compatible implementation of the necessary methodologies remains challenging. At the technical level, the methodology to generate functional cell types from iPSCs must display a high degree of robustness, as well as scalability, to comply with the strict CGMP requirements.

In this webinar, experts will discuss the current state-of-the-art for iPSC generation and differentiation. The presentation will also highlight the development of advanced CGMP-compatible protocols for converting these cells into several cell types of therapeutic relevance, including retinal pigment epithelium (RPE), mesenchymal stem cells (MSCs), cardiomyocytes (CMs), and immune natural killer (NK) cells. There will also be discussion of the development of meaningful assays to assess purity and impurities in the product and to monitor potency.

Key Takeaways

Boris Greber, Ph.D, Head of Research & Development, iPSC, Catalent Cell & Gene Therapy.

Dr Greber is the Head of Research and Development (R&D), iPSC at Catalent Cell & Gene therapy in Europe. He joined Catalent as part of the RheinCell Therapeutics acquisition. He previously served as an independent research group leader at the Max Planck Institute for Molecular Biomedicine (Germany). Dr Greber is internationally recognized with a 15 year track record in basic and applied human iPSC research.

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CGMP-compliant iPSC manufacturing and development of ... - Drug Target Review

Two dads, one baby? Gene technique works in mice – The Mercury News

This photo provided by researcher Katsuhiko Hayashi shows mice derived from stem cells, four weeks after their birth, in Osaka, Japan in September 2021. In a study published Wednesday, March 16, 2023, in the journal Nature, scientists led by Hayashi have created baby mice with two fathers for the first time by turning male mouse stem cells into female cells in a lab. (Katsuhiko Hayashi via AP)

For the first time in history, scientists have created mice with two dads, foretellinga day when same-sex couples may be able to have biological children of their own.

The success, announced by Japanese researchers last month, has not yet been tried on people.

But scientists at two Bay Area startups, as well as a company in New York City and another in Japan, are striving to move the mouse research into humans, and rewrite the rules of reproduction by making sex cells in a lab. If successful in people, the technique would allow the creation of an egg cell from blood or a tiny sliver of a man or womans skin.

So far, the research has focused on making egg cells, which would enable male-male reproduction. Creating sperm for female-female reproduction is a tougher scientific challenge.

Even the remote possibility of same-sex couples creating a baby without a donor is extraordinary and exciting, said Drew Lloyd, board president of the Bay Area Municipal Elections Committee, which advocates for the civil rights of LGBTQpeople. Ive learned not to put limits on whats possible.

Both Bay Area companies are secretive about the progress of their research and would not consent to interviews. The Berkeley-based startup Conception, with 34 employees and at least $20 million in private funding, seeks to create human eggs using stem cells from human blood samples. The other company, San Franciscos Ivy Natal, aims to build eggs with a skin biopsy.

The new research, described by Katsuhiko Hayashi of Osaka University in the March 15 issue of the journal Nature, marks a milestone in reproductive biology.

The Japanese team guided stem cells from a male mouse to form eggs, which were fertilized by another male mouse. The two mice conceived seven pups who were healthy and fertile, eventually conceiving babies of their own.

But the projects success rate was extremely low. About 30% of the male mouses stem cells matured into eggs, and 40% of those eggs were successfully fertilized to create embryos. The embryos were transferred to a surrogate female mouse to gestate, but only 1% 7 out of 630 were born alive.

Experts said it is not yet known whether the strategy would work in humans.

Mice arent people, said Hank Greely, director of the Center for Law and the Biosciences at Stanford University. And its a complicated method.

UC San Francisco developmental biologists Jonathan Bayer and Diana Laird agreed, writing we have much to learn before we use cultured stem cells to make human eggs in a dish, in an article that accompanied the Nature paper.

The technique, called in vitro gametogenesis or IVG, builds on the Nobel Prize-winning work of Dr. Shinya Yamanaka, a biologist at Japans Kyoto University who is also affiliated with San Franciscos Gladstone Institute. In 2007, Yamanaka described how to create stem cells by reprogramming skin cells, turning them into induced pluripotent stem cells, or iPSCs. These iPSCs can be coaxed into becoming nearly any cell type in the human body, from brain to liver and perhaps, someday, human egg or sperm.

The latest work was technically complex and required many steps. First, the team took skin cells from the tail of an adult male mouse. Then it reprogrammed these skin cells to become stem cells.

The biggest challenge was converting these stem cells from male to female. Because the production of mature eggs requires two copies of the X chromosome, the authors devised a way to find rare male stem cells that jettison their Y chromosome and then duplicate their X chromosome.

Once chromosomally female, these cells were biochemically nudged to turn into immature eggs.

The team tried, but failed, to make sperm from female cells. So two female mice could not conceive together. Thats because theres not yet a successful technique for converting a cell with two X chromosomes into a Y chromosome and without a Y chromosome, no sperm can be made.

In 2017, researchers in China created healthy mice with two mothers, but it involved a tremendous amount of gene editing with CRISPR, making it impractical to use for anything other than research. They also made mice with two dads, but the offspring quickly died.

But the breakthrough opens up exciting new avenues in reproductive biology and fertility research.

For instance, it could be used to rapidly produce inbred strains of identical mice, useful for laboratory experiments.It also offers a strategy to propagate endangered mammals from a single male.

It could also make replacement eggs for older women to have children, as well as couples who are infertile due to congenital problems, an accident, disease or treatment such as chemotherapy.

And it would offer same-sex or transgender couples the chance to have their own biological children. Currently such couples must use the eggs or sperm from one person, and the eggs or sperm from a donor.

Adoptive parent Johnny Symons, professor in the School of Cinema at San Francisco State University whose documentary film Daddy & Papa focuses on the experience of gay men raising children through adoption and surrogacy, called family-building an incredibly personal decision.

Having biological families has been least accessible to us, he said. This technology stands to be a real breakthrough in terms of providing options for people who want that.

If the technology advances, it could really change societal perceptions of gay men as parents, and potentially legitimize us in a new way, said Symons. Theres something very powerful and undeniable about physical resemblance. It makes it harder for people who oppose us to deny us political rights or equal social standards.

But theres a darker side to making sex cells in the lab, said Greely, author of the 2016 book, The End of Sex and the Future of Human Reproduction.

If this worked, he said, you could make eggs from sperm from 8-year-olds. You could make eggs from sperm from fetal remains. You could make eggs from sperm from somebody who has been dead for years, but whose cells were frozen. That gets a little weird.

Someday, perhaps, it may be possible to create both eggs and sperm from the same person, creating what Greely calls a unibaby. Youre pregnant by yourself, he said. I cant imagine a good reason to do this.

Even if the technique works in humans, it must first be proven safe, experts agree. Created through genetic manipulation, embryos may have hidden defects. There must be wider societal debate and regulatory oversight.

The next step is to test the technique in monkeys or chimpanzees.

Fertility experts, such as the American Society for Reproductive Medicines Research Institute, think its on the horizon.

If we can do this properly and safely and we can bring the cost down to being something accessible for everyone, said Conception CEO Matt Krisiloffin a company video, I really think theres a possibility that this could become the default way people choose to have children.

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Two dads, one baby? Gene technique works in mice - The Mercury News

Researchers Created "Embryos" From Monkey Stem Cells For The … – Inverse

The early beginnings of an embryo as it transforms from a clump of cells to a tiny human is a bit of a mystery scientifically speaking. We know many of the broad strokes, but there are a lot of intricate steps involved in the transformation that we arent privy to simply because we cant see inside the uterus as everything unfolds.

Not having front-row seats hasnt stopped scientists from trying to parse together an IKEA instruction manual for embryonic development. Over the last several decades, a variety of studies conducted in animals like zebrafish, mice, and fruit flies have identified some of the genetic switches underpinning embryogenesis a fertilized eggs journey to becoming a multicellular organism. There have also been studies using human and human-animal hybrid embryos to various degrees, of which theres been terse progress due to ethical concerns constraining such research.

The goal, therefore, is to find workarounds and proxies that can mimic a human uterus or resemble human embryonic development. Theres been some effort on that front in recent years when in August 2022, scientists successfully created a synthetic mouse embryo using stem cells instead of the usual mishmash of eggs and sperm and incubated the embryo in a mechanical womb.

Now, in a study published Thursday in the journal Cell Stem Cell, researchers in China have created embryo-like structures from embryonic stem cells taken from the crab-eating macaque. This structure called a blastoid, was similar to a crucial embryonic structure called a blastocyst, and possessed the transformative ability that eventually gives rise to the different cells and tissues in the body. However, when implanted into the uteri of female macaques, the blastoids didnt survive past a week (nearly three weeks in total from creation), although they did develop gestational sacs.

I wouldnt call this a breakthrough study, Jianping Fu, professor of biomedical engineering at the University of Michigan, who wasnt involved in the study, tells Inverse. But it points to an exciting direction to bypass the existing constraints [set] by human and animal models.

Stem cells, particularly embryonic and induced pluripotent stem cells (which are derived from adult cells and rewired to resemble their embryonic counterparts), have become a hotbed of interest simply for one reason: They have the potential to change into any cell type in the body, kind of like a cellular Animorph. This means they can be used to generate a wide range of cell types for research and clinical therapies, such as targeting neurodegenerative diseases like Parkinsons to diabetes and even dental issues.

The embryonic stem cells used in this new study came from crab-eating macaques, a species of long-tailed, brown-gray Old World monkeys native to Southeast Asia. These primates are widely used in medical research due to their physiological and genetic similarities to humans (thus their classification as near-human primates), particularly in areas such as neuroscience, infectious diseases, and reproductive biology.

To get growing and transforming, embryonic stem cells regardless if theyre human or monkey need chemicals called growth factors. This jumpstarts and nudges the cell down a certain career path (think your high school counselor on career day), which prompts certain genes to turn on and off depending on the desired cell type.

For their study, the researchers across various academic research institutions in China bathed their macaque embryonic stem cells in growth factors known from past studies to be involved in embryonic development. (Its important to note, though, we dont have an expansive knowledge of all the growth factors present in an embryo.) After about a week simmering in this chemical cocktail, the embryonic stem cells started to take on the appearance of a blastocyst a hollow sphere-like structure, parts of which will eventually develop into the placenta when viewed under the microscope (hence the name blastoid).

Also, under the microscope, these researchers noticed the blastoids appeared to have reached a stage in embryonic development called gastrulation. This is when three cells, or germ, layers the ectoderm, mesoderm, and endoderm start to form, ultimately giving rise to all the different types of cells and tissues in the body. This seemed to be corroborated by single-cell RNA sequencing, a technique used to photograph gene expression with resolution down to the single cell (around 6,000 in this study). The gene expression snapshots showed that different cells within the blastoid shared a nearly similar gene expression to natural blastocysts or embryos right after implantation, when the fertilized egg attaches to the uterine wall in early pregnancy.

So if it looks like a blastoid, does it act like a blastoid? Specifically, can it become an embryo? Not exactly.

To see how the blastoids fared in a more natural habitat namely inside a surrogate mama the early embryonic structures (about two weeks old at this point) were surgically implanted into eight female macaques. Of the eight, the blastoids appeared to successfully tether in three primates. The cells seemed to trigger pregnancy, indicated by the presence of hormones progesterone and chorionic gonadotropin, both crucial for sustaining pregnancy in monkeys as well as humans. This demonstrated that the blastoids were able to mimic some of the critical functions of a developing embryo, albeit on a limited scale.

While the blastoids did form gestational sacs fluid-filled structures that serve as an early sign of pregnancy and potentially a yolk sac in one (another early embryonic structure that produces blood and germ cells) seven to 10 days after implantation, these structures didnt progress any further. Roughly twenty days after they were first created, the blastoids disappeared without a trace.

Growing these embryo-like structures outside the uterus (at least initially) is among one of many modes of exploration the researchers hope will provide us insight into the molecular mechanisms behind-the-scenes of embryonic development.

[This research] provides new tools and perspectives for the subsequent exploration of primate embryos and reproductive medical health, Qiang Sun, the studys co-author and director of Suzhou Non-human Primate Facility at the Chinese Academy of Sciences, said in a statement.

Especially for reproductive health, this research could lend to a better understanding of why early miscarriages happen, which occur in 10 percent to 20 percent of pregnancies. Theres no exact cause, but there are a variety of reasons, such as random chromosomal abnormalities or structural deficits, whether in the moms uterus or in the baby, that prevent implantation or proper embryonic development.

Such monkey models may be very useful [for] toxicity screening applications to identify chemicals that have potential toxic effects on pregnancy, says Fu of the University of Michigan. Theres also a lot of hope such animal models, especially related to primate development, might guide us to better understand early development so we can [create] better protocols which might be very useful for [in vitro fertilization].

But hes skeptical of exactly how much these findings can contribute to our understanding of early development. Previous studies fusing mouse and human embryonic stem cells show that even these hybrids can develop into blastoids, so demonstrating the same with monkey embryonic stem cells isnt altogether new. Not only that, hes not convinced the monkey blastoids actually achieved gastrulation since, judging from the data provided, they still look very much disorganized.

Fu warns that a monkey model workaround may still toe the line of whats ethically permissible since, evolution-wise, macaques are pretty close to humans. This may make their blastoids nearly equivalent to human cells. Ethical concerns about primate models for embryonic development have been raised in the past.

The researchers acknowledge the potential ethical conundrum but note that the blastoids theyve created are still very different and not functionally on par with human blastocysts.

This research still has a long way to go, and likely many more years before we can completely pick apart the black box that is embryonic development.

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Researchers Created "Embryos" From Monkey Stem Cells For The ... - Inverse

Neurite outgrowth deficits caused by rare PLXNB1 mutation in … – Nature.com

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Softer and more gelatinous: taste testing Australias first lab-grown pork – The Guardian

Food science

Advocates of cultivated meat say its better for animal welfare and the environment, but the jury is out on whether the industry is headed for greener pastures

The liability waiver does not inspire confidence. I am not a natural thrill seeker, but in my limited experience, sitting down in an empty Melbourne cafe to eat a snack is not a typical activity that may cause serious or grievous injuries, including bodily injury, and/or death.

I am here to taste a product that is much hyped but not yet commercially available in Australia (and most other jurisdictions): meat that has been grown in a lab.

The meat in question is a soupon of pork, which has been cultivated from the cells of a pigs ear. The pig, I have been assured by Paul Bevan, the chief executive of cultivated meat startup Magic Valley, is still alive and well, continuing to live its happy, healthy, normal life.

Lab-grown meat or cultivated meat, as it is known in the industry is purported by its proponents to be better for animal welfare and the environment. It exited the realm of science fiction in 2013, when a research team at Maastricht University presented the first prototype, a lab-grown beef burger patty.

Since then, the cellular agriculture industry has yielded just a single commercially available product cell-based chicken launched in Singapore in 2020 by the American firm Eat Just. A cultivated chicken product from Eat Just subsidiary Good Meat is now making its way through US regulatory approval.

Magic Valley is hoping to apply for regulatory approval in Australia by the end of the year, and to sell their cultivated meat products lamb and pork, so far by the end of 2024.

I am a meat eater and dont consider myself particularly squeamish, but as I wait to taste Magic Valleys pork I try to suppress a mental image of muscle fibres growing in a Petri dish, la science experiments from university biology class.

The morsel of lab-grown meat is served in a silky wonton skin, doused with chilli oil, spring onion and black vinegar. The recipe has been cooked up by Wendy Chua, a Magic Valley scientist and their in-house gourmet.

The pork is, in a word, delicious. But then again, what generously seasoned dumpling isnt?

The texture of the meat is perhaps slightly softer and more gelatinous than regular mince. Any differences in taste would have been easier to parse with a more sizeable portion, but I suspect the meagre serving is a deliberate logistical (and economic) choice.

Magic Valley is not yet operating at industrial scale, so all their meat is still cultivated in a lab, rather than in 20,000-litre bioreactors that they hope to eventually use. A facility with two bioreactors of such size would eventually be able to produce 300,000kg of meat annually, Bevan says. (It is unclear whether bioreactors this large are commonly used in the industry, but in 2022 Eat Just announced it was building 250,000-litre vats, set to be operational in 2024.)

The process of making the pork begins with reprogramming cells taken from a pigs ear to create induced pluripotent stem cells. These stem cells, which are not yet specialised, have an essentially unlimited ability to generate other cell types. From there, were able to direct the cells to become muscle, fat, connective tissue, bone whatever we choose, Bevan says.

Cells are brewed in nutrient media a liquid of glucose and amino acids that enables the cells to grow. Currently, muscle and fat are grown separately and combined at the end to form the final product. The process takes about three weeks, Bevan says.

Magic Valley describes its meat as slaughter-free, but other cellular agriculture companies use foetal bovine serum a byproduct of the meatpacking industry which is harvested from the blood of cow foetuses as a growth medium.

In terms of input costs at the moment, for us it costs around $50 a kilo to produce, Bevan says. His hope is that once production is scaled up, the costs may drop to $5 per kilogram.

While the current price tag is steep, it is far cheaper than it once was the first lab-grown patty cost US$330,000 to create. But some critics are sceptical that cultivated meat can achieve cost parity with traditional agriculture.

If your interest is maximising profitability in the early years, you should never start a cultivated meat company, Eat Justs chief executive, Josh Tetrick, told the Financial Times in June last year. The article highlighted that despite Eat Justs 2020 commercial milestone in Singapore, the lossmaking companys products are not in shops.

Though lab-grown meat has high energy requirements, analyses suggest the production process involves less carbon emissions and a smaller land-use footprint per kg of meat than traditional agriculture.

From a greenhouse gas perspective, and from a water use and a land use perspective, were looking at between a 70% and 90% reduction compared to conventional meat, Bevan says.

Nutritionally, our cultivated pork products are identical, Bevan says.

Independent studies are unclear on whether cultivated meat provides the same essential minerals, such as iron and vitamin B12, as regular meat. One 2020 review found that vitamins are necessary in the [growth] media for optimal cell proliferation, but it is not clear whether the uptake from media results in levels of vitamins in cultured meat comparable to traditional meat.

But unlike a pork cutlet, which is what it is, Bevan says with cultivated meat we can remove things like saturated fat, add additional protein content, vitamins, minerals, etcetera.

Critics of alternative proteins such as lab-grown meat have suggested the industry could jeopardise the livelihoods of food producers globally, rather than supporting transformational changes in the way we eat. Nonetheless, the demand for meat is rising worldwide, and cultured meat companies have proliferated accordingly.

In March, another Australian startup, Vow, unveiled a meatball engineered from the tissue of the long-extinct woolly mammoth, which nobody has yet tasted. In addition to traditional livestock animals, the company is making meat from the stem cells of at least 13 other animal species, such as alpaca and water buffalo.

As the technology advances, Bevan says the ultimate goal for Magic Valley is to create structured meat products such as steaks and chops. Last year, one Israeli firm used 3D printing techniques to create a 110g steak, but while the technology is impressive, the end product hardly resembles the real thing.

Replacing the chicken in a nugget or the pork filling in a wonton with cultivated meat is beginning to seem like a real possibility. But whether lab-grown chops wont smack of the uncanny valleys pastures is a question thats yet to be answered.

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Softer and more gelatinous: taste testing Australias first lab-grown pork - The Guardian

SaaS Spend Management Software Market 2023: Exclusive Insights … – Digital Journal

PRESS RELEASE

Published April 11, 2023

SaaS Spend Management Software Market Research Report 2023 | Pages | presents granular analysis on current and future market growth status with industry revenue and CAGR status across all regions with Top Key Players analysis - Flexera, Cledara, Blissfully, Intello, Binadox, G2 Track, License DashboarD

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The SaaS Spend Management Software Market report 2023 offers a comprehensive and precise analysis of the various aspects related to business growth opportunities, challenges, risk factors, and trends across all geographic regions. The report provides up-to-date information on the latest technological advancements, SWOT and PESTLE analysis, and insightful market size information.

In addition, the SaaS Spend Management Software market report covers an in-depth analysis of growth factors, global trending technologies, and key players profiling with company profiles, and supply-demand scope. The report also gives a holistic overview of the industry revenue, demand status, competitive landscape, and regional segments of the global industry. This report is an indispensable value addition to any company looking to develop its future strategies and plan its path forward.

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The SaaS Spend Management Software market has witnessed growth from USD million to USD million from 2017 to 2022. With the CAGR of %, this market is estimated to reach USD million in 2029.

Key Players covered in the global SaaS Spend Management Software Market are:

The report covers the competitive landscape of various major players, their current market positions, and key business strategies adopted by players. This SaaS Spend Management Software market report includes information about the product launch, expansion of the production facilities or plants, adoption of new technologies, latest merger and acquisition, partnership, and collaboration of the key players. It furthers provides concrete information about the existing market scope for the new entrants and the current competitive levels and scenario for the emerging players in the global market.

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Most important types of SaaS Spend Management Software products covered in this report are:

Most widely used downstream fields of SaaS Spend Management Software market covered in this report are:

The report combines extensive quantitative analysis and exhaustive qualitative analysis, ranges from a macro overview of the total market size, industry chain, and market dynamics to micro details of segment markets by type, application and region, and, as a result, provides a holistic view of, as well as a deep insight into the SaaS Spend Management Software market covering all its essential aspects.

For the competitive landscape, the report also introduces players in the industry from the perspective of the market share, concentration ratio, etc., and describes the leading companies in detail, with which the readers can get a better idea of their competitors and acquire an in-depth understanding of the competitive situation. Further, mergers and acquisitions, emerging market trends, the impact of COVID-19, and regional conflicts will all be considered.

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Following Chapter Covered in the SaaS Spend Management Software Market Research:

Chapter 1 mainly defines the market scope and introduces the macro overview of the industry, with an executive summary of different market segments ((by type, application, region, etc.), including the definition, market size, and trend of each market segment.

Chapter 2 provides a qualitative analysis of the current status and future trends of the market. Industry Entry Barriers, market drivers, market challenges, emerging markets, consumer preference analysis, together with the impact of the COVID-19 outbreak will all be thoroughly explained.

Chapter 3 analyzes the current competitive situation of the market by providing data regarding the players, including their sales volume and revenue with corresponding market shares, price and gross margin. In addition, information about market concentration ratio, mergers, acquisitions, and expansion plans will also be covered.

Chapter 4 focuses on the regional market, presenting detailed data (i.e., sales volume, revenue, price, gross margin) of the most representative regions and countries in the world.

Chapter 5 provides the analysis of various market segments according to product types, covering sales volume, revenue along with market share and growth rate, plus the price analysis of each type.

Chapter 6 shows the breakdown data of different applications, including the consumption and revenue with market share and growth rate, with the aim of helping the readers to take a close-up look at the downstream market.Chapter 7 provides a combination of quantitative and qualitative analyses of the market size and development trends in the next five years. The forecast information of the whole, as well as the breakdown market, offers the readers a chance to look into the future of the industry.

Chapter 8 is the analysis of the whole market industrial chain, covering key raw materials suppliers and price analysis, manufacturing cost structure analysis, alternative product analysis, also providing information on major distributors, downstream buyers, and the impact of COVID-19 pandemic.

Chapter 9 shares a list of the key players in the market, together with their basic information, product profiles, market performance (i.e., sales volume, price, revenue, gross margin), recent development, SWOT analysis, etc.

Chapter 10 is the conclusion of the report which helps the readers to sum up the main findings and points.

Chapter 11 introduces the market research methods and data sources.

Geographically, the report includes the research on production, consumption, revenue, market share and growth rate, and forecast (2018 -2029) of the following regions:

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The report delivers a comprehensive study of all the segments and shares information regarding the leading regions in the market. This report also states import/export consumption, supply and demand Figures, cost, industry share, policy, price, revenue, and gross margins.

Key Offerings of SaaS Spend Management Software Market:

Trend and forecast analysis: Market trends, forecast, and Analysis to 2023 by segments and regions

Segmentation analysis: Market size by various applications such as product, material, shape, and end use in terms of value and volume shipment.

Regional analysis: Global SaaS Spend Management Software market breakdown by North and South America, Europe, Asia Pacific, Middle East and the Rest of the World.

Growth opportunities: Analysis of growth opportunities in different applications and regions in the Global SaaS Spend Management Software Market

Strategic analysis: This includes new product development and competitive landscape in the Global SaaS Spend Management Software Market

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Detailed TOC of SaaS Spend Management Software Market Forecast Report 2023-2029:

1 SaaS Spend Management Software Market Overview

1.1 Product Overview and Scope of SaaS Spend Management Software Market

1.2 SaaS Spend Management Software Market Segment by Type

1.2.1 Global SaaS Spend Management Software Market Sales Volume and CAGR (%) Comparison by Type

1.3 Global SaaS Spend Management Software Market Segment by Application

1.3.1 SaaS Spend Management Software Market Consumption (Sales Volume) Comparison by Application

1.4 Global SaaS Spend Management Software Market, Region Wise

1.5 Global Market Size of SaaS Spend Management Software

1.5.1 Global SaaS Spend Management Software Market Revenue Status and Outlook

1.5.2 Global SaaS Spend Management Software Market Sales Volume Status and Outlook

1.6 Global Macroeconomic Analysis

1.7 The impact of the Russia-Ukraine war on the SaaS Spend Management Software Market

2 Industry Outlook

2.1 SaaS Spend Management Software Industry Technology Status and Trends

2.2 Industry Entry Barriers

2.2.1 Analysis of Financial Barriers

2.2.2 Analysis of Technical Barriers

2.2.3 Analysis of Talent Barriers

2.2.4 Analysis of Brand Barrier

2.3 SaaS Spend Management Software Market Drivers Analysis

2.4 SaaS Spend Management Software Market Challenges Analysis

2.5 Emerging Market Trends

2.6 Consumer Preference Analysis

2.7 SaaS Spend Management Software Industry Development Trends under COVID-19 Outbreak

2.7.1 Global COVID-19 Status Overview

2.7.2 Influence of COVID-19 Outbreak on SaaS Spend Management Software Industry Development

3 Global SaaS Spend Management Software Market Landscape by Player

3.1 Global SaaS Spend Management Software Sales Volume and Share by Player

3.2 Global SaaS Spend Management Software Revenue and Market Share by Player

3.3 Global SaaS Spend Management Software Average Price by Player

3.4 Global SaaS Spend Management Software Gross Margin by Player

3.5 SaaS Spend Management Software Market Competitive Situation and Trends

3.5.1 SaaS Spend Management Software Market Concentration Rate

3.5.2 SaaS Spend Management Software Market Share of Top 3 and Top 6 Players

3.5.3 Mergers and Acquisitions, Expansion

4 Global SaaS Spend Management Software Sales Volume and Revenue Region Wise

4.1 Global SaaS Spend Management Software Sales Volume and Market Share, Region Wise

4.2 Global SaaS Spend Management Software Revenue and Market Share, Region Wise

4.3 Global SaaS Spend Management Software Sales Volume, Revenue, Price and Gross Margin

4.4 United States SaaS Spend Management Software Sales Volume, Revenue, Price and Gross Margin

4.4.1 United States SaaS Spend Management Software Market Under COVID-19

4.5 Europe SaaS Spend Management Software Sales Volume, Revenue, Price and Gross Margin

4.5.1 Europe SaaS Spend Management Software Market Under COVID-19

4.6 China SaaS Spend Management Software Sales Volume, Revenue, Price and Gross Margin

4.6.1 China SaaS Spend Management Software Market Under COVID-19

4.7 Japan SaaS Spend Management Software Sales Volume, Revenue, Price and Gross Margin

4.7.1 Japan SaaS Spend Management Software Market Under COVID-19

4.8 India SaaS Spend Management Software Sales Volume, Revenue, Price and Gross Margin

4.8.1 India SaaS Spend Management Software Market Under COVID-19

4.9 Southeast Asia SaaS Spend Management Software Sales Volume, Revenue, Price and Gross Margin

4.9.1 Southeast Asia SaaS Spend Management Software Market Under COVID-19

4.10 Latin America SaaS Spend Management Software Sales Volume, Revenue, Price and Gross Margin

4.10.1 Latin America SaaS Spend Management Software Market Under COVID-19

4.11 Middle East and Africa SaaS Spend Management Software Sales Volume, Revenue, Price and Gross Margin

4.11.1 Middle East and Africa SaaS Spend Management Software Market Under COVID-19

5 Global SaaS Spend Management Software Sales Volume, Revenue, Price Trend by Type

5.1 Global SaaS Spend Management Software Sales Volume and Market Share by Type

5.2 Global SaaS Spend Management Software Revenue and Market Share by Type

5.3 Global SaaS Spend Management Software Price by Type

5.4 Global SaaS Spend Management Software Sales Volume, Revenue and Growth Rate by Type

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SaaS Spend Management Software Market 2023: Exclusive Insights ... - Digital Journal