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Pcgf5 controls the exit from totipotency in mouse embryonic stem cells.

Mouse embryonic stem cell (ESC) cultures contain a rare subpopulation of two-cell-like cells (2CLCs) that transiently reactivate a two-cell embryo-like transcriptional program characteristic of zygotic genome activation (ZGA), including the endogenous retrovirus MERVL and Zscan4, and thereby regain a totipotent-like state. Polycomb repressive complex 1 (PRC1)-mediated H2AK119ub1 has been implicated in restraining entry into the 2C-like state through Pcgf6, yet the factors governing exit from this state and loss of totipotency remain poorly defined. Here, we show that among the six Pcgf paralogs, Pcgf5, which is most prominently upregulated in 2CLCs and forms an MERVL-driven chimeric transcript (Pcgf5MT2C_Mm) during ZGA in 2-cell embryos, controls exit from the 2C-like state in mouse ESCs. Using a reporter ESC line carrying MERVL-tdTomato and Zscan4c-EGFP (MtZG), we manipulated Pcgf5 dosage bidirectionally. Doxycycline (Dox)-inducible overexpression (OE) of Pcgf5 reduced the double-positive (DP) 2C-like population. Conversely, CRISPR-mediated knockout (KO) of Pcgf5 by targeting a common exon shared by all Pcgf5 variants (hereafter, total Pcgf5) increased the DP population. Time-lapse imaging directly confirmed that these changes reflected genuine differences in duration of the 2C-like state: OE shortened, whereas KO prolonged, the time cells spent in this state. These findings reveal that a Polycomb group factor controls not only entry into but also exit from the 2C-like state.

Animals

Lentiviral Transduction of Embryonic Stem Cells.

Lentiviral vectors provide an efficient and reliable method for stable gene knockdown in embryonic stem cells (ESCs) through RNA interference. Here, we describe a detailed protocol for lentiviral transduction of mouse ESCs using lentiviral shRNA expression vectors. The protocol encompasses lentiviral particle production in HEK-293T packaging cells, determination of viral titer, transduction of ESCs cultured under feeder-free conditions, and selection of stably transduced cells. Additionally, we describe methods for evaluating transduction efficiency using fluorescence microscopy and flow cytometry, as well as for assessing gene knockdown efficacy by quantitative real-time PCR (Q-RT-PCR). This protocol is suitable for functional genomic studies in pluripotent stem cells and can be adapted for other difficult-to-transfect cell types.

Lentivirus

Self-organization of mouse embryonic stem cells into reproducible pre-gastrulation embryo models via CRISPRa programming.

Embryonic stem cells (ESCs) can self-organize into structures with spatial and molecular similarities to natural embryos. During development, embryonic and extraembryonic cells differentiate through activation of endogenous regulatory elements while co-developing via cell-cell interactions. However, engineering regulatory elements to self-organize ESCs into embryo models remains underexplored. Here, we demonstrate that CRISPR activation (CRISPRa) of two regulatory elements near Gata6 and Cdx2 generates embryonic patterns resembling pre-gastrulation mouse embryos. Live single-cell imaging revealed that self-patterning occurs through orchestrated collective movement driven by cell-intrinsic fate induction. In 3D, CRISPRa-programmed embryo models (CPEMs) exhibit morphological and transcriptomic similarity to pre-gastrulation mouse embryos. CPEMs allow versatile perturbations, including dual Cdx2-Elf5 activation to enhance trophoblast differentiation and lineage-specific activation of laminin and matrix metalloproteinases, uncovering their roles in basement membrane remodeling and embryo model morphology. Our findings demonstrate that minimal intrinsic epigenome editing can self-organize ESCs into programmable pre-gastrulation embryo models with robust lineage-specific perturbation capabilities.

Animals

Med12 cooperates with multiple differentiation signals to facilitate efficient lineage transitions in embryonic stem cells.

Cell differentiation results from coordinated changes in gene transcription in response to combinations of signals. Fibroblast growth factor (FGF), Wnt and mammalian target of rapamycin (mTOR) signals regulate the differentiation of pluripotent mammalian cells towards embryonic and extraembryonic lineages, but how these signals cooperate with general transcriptional regulators is not fully resolved. Here, we report a genome-wide CRISPR screen that reveals both signaling components and general transcriptional regulators for differentiation-associated gene expression in mouse embryonic stem cells (mESCs). Focusing on the Mediator subunit-encoding Med12 gene as one of the strongest hits in the screen, we show that it regulates gene expression in parallel to FGF and mTOR signals. Loss of Med12 is compatible with differentiation along both the embryonic epiblast and the extraembryonic primitive endoderm lineage but impairs pluripotency gene expression and slows down transitions between pluripotency states. These findings suggest that Med12 helps pluripotent cells to efficiently execute transcriptional changes during differentiation, thereby modulating the effects of a broad range of signals.

Animals

Gata3 dosage governs primitive endoderm versus trophectoderm specification in embryonic stem cells.

Transcription factor (TF) dosage represents an overlooked aspect of developmental regulation. While Gata3 has traditionally been viewed as a determinant of trophectoderm (TE), its potential role in primitive endoderm (PE) has remained unclear. Here, we demonstrate that Gata3 functions as a dosage-sensitive regulator directing mutually exclusive lineage programs in mouse embryonic stem (ES) cells. Low levels of Gata3 (Gata3-L) promote PE-like transcriptional states, while high levels (Gata3-H) drive TE identity by rapidly repressing pluripotency and inducing TE markers. Genome-wide binding analysis reveals a dose-dependent redistribution of Gata3 across enhancers, with chromatin engagement consistent with pioneer factor-like activity. Functional 3D blastoid assays combined with single-cell transcriptomics further establish that Gata3 dosage alone is sufficient to instruct the spatial segregation of PE- versus TE-like compartments. These findings redefine Gata3 not merely as a TE determinant but as a central dosage-sensitive switch in lineage specification. More broadly, our results position TF dosage as a fundamental regulatory parameter that integrates enhancer selection, chromatin engagement, and spatial patterning, providing new opportunities to refine stem cell-based models and engineer developmental outcomes.

GATA3 Transcription Factor

Generation of FCGR3A-EGFP knock-in reporter human embryonic stem cell line, WAe001-A-3S, using CRISPR/Cas9n-based gene targeting.

Fc gamma receptor IIIA (FCGR3A) encodes CD16a, a key mediator of antibody-dependent cellular cytotoxicity (ADCC) that regulates innate and adaptive immunity, especially in natural killer (NK) cells and monocytes. We generated an FCGR3A-EGFP knock-in human embryonic stem cell (hESC) line via CRISPR/Casn9n. The cell line showed a normal karyotype, maintained expression ofthe pluripotency markers OCT4, SOX2, and NANOG, and retained trilineage differentiation potential. This reporter line enables real-time tracking of FCGR3A expression during immune cell differentiation, serving as a useful tool for studying FCGR3A+ immune cell development and related immune mechanisms.

Humans

H3.3 contributes to chromatin accessibility and transcription factor binding at promoter-proximal regulatory elements in embryonic stem cells.

BACKGROUND: The histone variant H3.3 is enriched at active regulatory elements such as promoters and enhancers in mammalian genomes. These regions are highly accessible, creating an environment that is permissive to transcription factor binding and the recruitment of transcriptional coactivators that establish a unique chromatin post-translational landscape. How H3.3 contributes to the establishment and function of chromatin states at these regions is poorly understood. RESULTS: We perform genomic analyses of features associated with active promoter chromatin in mouse embryonic stem cells (ESCs) and find evidence of subtle yet widespread promoter dysregulation in the absence of H3.3. Loss of H3.3 results in reduced chromatin accessibility and transcription factor (TF) binding at promoters of expressed genes in ESCs. Likewise, enrichment of the transcriptional coactivator p300 and downstream histone H3 acetylation at lysine 27 (H3K27ac) is reduced at promoters in the absence of H3.3, along with reduced enrichment of the acetyl lysine reader BRD4. Despite the observed chromatin dysregulation, H3.3 KO ESCs maintain transcription from ESC-specific genes. However, upon undirected differentiation, H3.3 KO cells retain footprinting of ESC-specific TF motifs and fail to generate footprints of lineage-specific TF motifs, in line with their diminished capacity to differentiate. CONCLUSIONS: H3.3 facilitates DNA accessibility, transcription factor binding, and histone post-translational modification at active promoters. While H3.3 is not required for maintaining transcription in ESCs, it does promote de novo transcription factor binding which may contribute to the dysregulation of cellular differentiation in the absence of H3.3.

Animals

Endogenous tagging of the TBXT (Brachyury) gene with 2A-EGFP in BJNhem19 human embryonic stem cells using CRISPR-Cas9 genome editing.

Brachyury (TBXT) is a T-box transcription factor essential for directing human embryonic stem cells (hESCs) toward mesodermal lineage specification. Here, we report the generation of a Brachyury/TBXT-2A-EGFP knock-in reporter line in the BJNhem19 hESC line using CRISPR/Cas9-mediated homology-directed repair. Accurate integration of the reporter cassette was confirmed by DNA sequencing and validated by the comparison of EGFP expression to endogenous TBXT gene expression following directed mesodermal differentiation. This reporter line provides a tractable fluorescence-based platform for real-time monitoring of mesodermal commitment, which will help in high-content screening of differentiation protocols.

Journal Article

Analysis of a BCOR internal tandem duplication in mouse embryonic stem cell to neuronal precursor differentiation.

BCOR (BCL-6 corepressor) is a component of variant Polycomb Repressive Complex 1.1 (vPRC1.1), one of several vPRC1 complexes that catalyze histone H2A ubiquitination thought to play an important role in PRC2 binding and the deposition of H3K27me3 to silence genes. The PCGF Ub-like fold discriminator (PUFD) domain at the C-terminus of BCOR forms a heterodimer with PCGF1, serving as a critical interface for its polycomb-dependent functions. Internal tandem duplication (ITD) mutations in BCOR, causing in-frame duplications of 20 to 40 amino acids in the PUFD domain, are observed in heterogeneous tumors including sarcomas (kidney, bone, and endometrium) and neuroepithelial tumors in the brain. To dissect the molecular mechanisms underlying aberrant function of BCOR-ITD mutants, we employed mouse embryonic stem (mES) cells expressing either transgenic or endogenous BCOR-ITD. Our results indicate that the BCOR-ITD mutation does not disrupt the BCOR-PCGF1 interaction, instead maintaining the integrity of the vPRC1.1 complex. While displaying subtle changes in imprinted gene expression during differentiation toward a neural lineage, BCOR-ITD mutants also had no growth phenotype in culture. Furthermore, we found that CD24+ cells were enriched, as expected, during neural progenitor differentiation in both wildtype and mutant cells. However, sensitization of BCOR-ITD mES cells with EZH2 inhibitor during differentiation resulted in an unexpected enrichment of a CD24+CD26+ subpopulation, indicating aberrant cell fate that was also prevalent in a BCOR truncation mutant. Together, our results suggest that BCOR-ITD may largely retain wildtype function, but with increased susceptibility to synergistic stress on the Polycomb pathway.

Animals

Genome-wide screening in human embryonic stem cells identifies genes and pathways involved in the p53 pathway.

BACKGROUND: The tumor suppressor protein, p53, which is mutated in half of human tumors, plays a critical role in cellular responses to DNA damage and maintenance of genome stability. Therefore, increasing our understanding of the p53 pathway is essential for improving cancer treatment and diagnosis. METHODS: This study, which aimed to identify genes and pathways that mediate resistance to p53 upregulation, used genome-wide CRISPR-Cas9 loss-of-function screening done with Nutlin-3a, which inhibits p53-MDM2 interaction, resulting in p53 accumulation and apoptotic cell death. We used bioinformatics analysis for the identification of genes and pathways that are involved in the p53 pathway and cell survival assays to validate specific genes. In addition, we used RNA-seq to identify differentially expressed p53 target genes in gene knockout (KO) cell lines. RESULTS: Our screen revealed three significantly enriched pathways: The heparan sulfate glycosaminoglycan biosynthesis, diphthamide biosynthesis and Hippo pathway. Notably, TRIP12 was significantly enriched in our screen. We found that TRIP12 is required for the p53-dependent transcription of several pro-apoptotic genes. CONCLUSION: Our study has identified two novel pathways that play a role in p53-mediated growth restriction. Moreover, we have highlighted the interaction between the Hippo and the p53 pathways. Interestingly, we have shown that TRIP12 plays an important function in the p53 pathway by selectively affecting its role as a transcription factor.

Humans

Temporal multiomics gene expression data of human embryonic stem cell-derived cardiomyocyte differentiation.

Human embryonic stem cells (hESCs) serve as a valuable in vitro model for studying early human developmental processes due to their ability to differentiate into all three germ layers. Here, we present a comprehensive multi-omics dataset generated by differentiating hESCs into cardiomyocytes via the mesodermal lineage, collecting samples at 10 distinct time points. We measured mRNA levels by mRNA sequencing (mRNA-seq), translation levels by ribosome profiling (Ribo-seq), and protein levels by quantitative mass spectrometry-based proteomics. Technical validation confirmed high quality and reproducibility across all datasets, with strong correlations between replicates. This extensive dataset provides critical insights into the complex regulatory mechanisms of cardiomyocyte differentiation and serves as a valuable resource for the research community, aiding in the exploration of mammalian development and gene regulation.

Humans

Teratoma Formation and Genomic Profiling Using Multi-Omics Approaches.

Teratoma formation is the gold standard assay for evaluating the developmental pluripotency of human and mouse embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs). Following subcutaneous injection into immunodeficient mice, pluripotent stem cells spontaneously differentiate into derivatives representing all three embryonic germ layers-ectoderm, mesoderm, and endoderm. Beyond serving as a functional assay for pluripotency, teratomas provide a unique three-dimensional model system for studying early human development and lineage specification in vivo. This chapter describes comprehensive protocols for teratoma formation in immunodeficient mice, tissue processing for multiple downstream genomic applications, and multi-omics profiling approaches. We detail methods for embryonic stem cell culture, teratoma generation via subcutaneous injection, tissue dissection and processing for chromatin immunoprecipitation followed by sequencing (ChIP-Seq), RNA sequencing (RNA-Seq), single-cell multiome profiling combining chromatin accessibility (ATAC-Seq) and gene expression (scRNA-Seq), and histological analysis using hematoxylin and eosin (H&E) staining. Additionally, we provide bioinformatics workflows for analyzing the resulting genomic datasets to characterize the epigenetic and transcriptional landscapes of teratoma-derived tissues. These methods enable comprehensive molecular characterization of developmental processes and provide valuable resources for stem cell biologists studying pluripotency, differentiation, and early embryonic development.

Teratoma

MNase-seq to Identify Genome-Wide DNA-Protein Interactions.

Identification of the occupancy of transcription factors (TFs) and nucleosomes across the genome yields insights into the regulation of gene expression patterns. While several independent techniques can be performed and then analyzed in composite to reveal this chromatin landscape, the use of micrococcal nuclease (MNase) digestion can resolve the footprints of nearly all chromatin proteins simultaneously. The protocol below describes the use of MNase to identify chromatin footprints of both TFs and nucleosomes in two vastly different cell types, Mouse embryonic stem cells (mESCs) and sperm, with differing levels of chromatin compaction.

Animals

Epidermal growth factor receptors increase during the differentiation of embryonal carcinoma cells.

Mouse teratocarcinoma stem cells (embryonal carcinoma, or EC cells) bind very small amounts of mouse epidermal growth factor (EGF) and the latter hormone seems to have no stimulatory effect on the growth of two cloned lines of EC cells. However, when EC cells are induced to differentiate into large flat endodern-like cells (END cells), EGF receptors increase in number reaching a plateau in 6 to 8 days. At 8 to 10 days after induction, END cells multiply very slowly, but when EGF is added (3 x 10(-10) M) to the medium, cell division is stimulated and a further change in morphology occurs. This letter describes the binding characteristics and numbers of the EGF receptors on EC and END cells and shows that exogenous retinoic acid increases the numbers of EGF receptors on END cells. We were unable to find endogenous competing factors produced by EC cells. Such factors could account for the lack of detectable binding of EGF on these cells. As EC cells differentiate to END cells, so the ability of the cells to form tumours is reduced. Since this change is accompanied by an increase in the number of EGF receptors there may be a relationship between these two events.

Animals

Overcoming gene dosage barriers in mammalian development: An imprinting balancing act.

Genomic imprinting ensures parent-of-origin gene expression and prevents uniparental development. In this issue of Cell Stem Cell, Li et al.1 extensively engineered androgenic haploid embryonic stem cells to overcome imprinting barriers, producing adult bi-paternal mice, albeit with low efficiency, and providing insights into roles of imprinted genes in development.

Genomic Imprinting

mRNA turnover dynamics are affected by cell differentiation and loss of the cytosine methyltransferase Nsun2.

Nsun2 catalyzes 5-methylcytosine (m5C) formation in several types of RNA, including messenger RNAs (mRNAs), transfer RNAs, and other non-coding RNAs. In mRNA, m5C was reported to influence transcript stability. However, it is unclear if it has stabilizing or destabilizing effects. To address the role of Nsun2 in mRNA stability, we characterized the landscape of mRNA turnover dynamics during embryonic stem cell (ESC) differentiation in wild-type and Nsun2-mutant cells. By using an RNA labeling approach combined with thiouridine-to-cytidine-sequencing (TUC-seq), we demonstrate that mRNA synthesis and stability undergo extensive changes during normal cellular differentiation. Remarkably, a large proportion of these changes did not result in altered mRNA abundance, providing evidence for robust transcript buffering during ESC differentiation. Importantly, also the loss of Nsun2 affected mRNA turnover dynamics but not the steady-state levels of transcripts. Furthermore, our data indicate that the effect of Nsun2 on mRNA turnover was not mediated by m5C deposition in mRNA, which is corroborated by catalysis-independent effects of Nsun2 on translation in early ESC differentiation. In conclusion, this study demonstrates that differentiation as well as loss of Nsun2 can induce changes in mRNA turnover dynamics that are independent of mRNA methylation but consistent with a buffering mechanism to maintain constant RNA levels.

Cell Differentiation

Functional impact of cancer-associated cohesin variants on gene expression and cellular identity.

Cohesin is a ring-shaped protein complex that controls dynamic chromosome structure. Cohesin activity is important for a variety of biological processes, including formation of DNA loops that regulate gene expression. The precise mechanisms by which cohesin shapes local chromosome structure and gene expression are not fully understood. Recurrent mutations in cohesin complex members have been reported in various cancers, though it is not clear whether many cohesin sequence variants have phenotypes and contribute to disease. Here, we utilized CRISPR/Cas9 genome editing to introduce a variety of cohesin sequence variants into murine embryonic stem cells and investigate their molecular and cellular consequences. Some of the cohesin variants tested caused changes to transcription, including altered expression of gene encoding lineage-specifying developmental regulators. Altered gene expression was also observed at insulated neighborhoods, where cohesin-mediated DNA loops constrain potential interactions between genes and enhancers. Furthermore, some cohesin variants altered the proliferation rate and differentiation potential of murine embryonic stem cells. This study provides a functional comparison of cohesin variants found in cancer within an isogenic system, revealing the relative roles of various cohesin perturbations on gene expression and maintenance of cellular identity.

Animals

Inferring metabolic objectives and trade-offs in single cells during embryogenesis.

While proliferating cells optimize their metabolism to produce biomass, the metabolic objectives of cells that perform non-proliferative tasks are unclear. The opposing requirements for optimizing each objective result in a trade-off that forces single cells to prioritize their metabolic needs and optimally allocate limited resources. Here, we present single-cell optimization objective and trade-off inference (SCOOTI), which infers metabolic objectives and trade-offs in biological systems by integrating bulk and single-cell omics data, using metabolic modeling and machine learning. We validated SCOOTI by identifying essential genes from CRISPR-Cas9 screens in embryonic stem cells, and by inferring the metabolic objectives of quiescent cells, during different cell-cycle phases. Applying this to embryonic cell states, we observed a decrease in metabolic entropy upon development. We further uncovered a trade-off between glutathione and biosynthetic precursors in one-cell zygote, two-cell embryo, and blastocyst cells, potentially representing a trade-off between pluripotency and proliferation. A record of this paper's transparent peer review process is included in the supplemental information.

Single-Cell Analysis