E-MTAB-9194
Ontology highlight
ABSTRACT:
PROVIDER: E-MTAB-9194 | ExpressionAtlas | 2025-01-16
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-MTAB-9194-analysis-methods.tsv | Tabular | |||
| E-MTAB-9194-analytics.tsv | Tabular | |||
| E-MTAB-9194-atlasExperimentSummary.Rdata | Rdata | |||
| E-MTAB-9194-configuration.xml | Xml | |||
| E-MTAB-9194-g2_g3-mvaPlot.png | Other |
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Project description:RNA-seq of definitive endoderm differentiation of human embryonic stem cells in early G1 phase of the cell cycle
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Project description:ChIP-seq of definitive endoderm differentiation of human embryonic stem cells in early G1 phase of the cell cycle
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Project description:During mammalian pre-implantation development, the cells of the blastocyst’s inner cell mass differentiate into the epiblast and primitive endoderm lineages, which give rise to the fetus and extra-embryonic tissues, respectively. Extra-embryonic endoderm differentiation can be modeled in vitro by induced expression of GATA transcription factors in mouse embryonic stem cells. Here we use this GATA-inducible system to quantitatively monitor the dynamics of global proteomic changes during the early stages of this differentiation event and also investigate the fully differentiated phenotype, as represented by embryo-derived extra-embryonic endoderm (XEN) cells. Using mass spectrometry-based quantitative proteomic profiling with multivariate data analysis tools, we reproducibly quantified 2,336 proteins across three biological replicates and have identified clusters of proteins characterized by distinct, dynamic temporal abundance profiles. We first used this approach to highlight novel marker candidates of the pluripotent state and extra-embryonic endoderm differentiation. Through functional annotation enrichment analysis, we have shown that the downregulation of chromatin-modifying enzymes, the re-organization of membrane trafficking machinery and the breakdown of cell-cell adhesion are successive steps of the extra-embryonic differentiation process. Thus, applying a range of sophisticated clustering approaches to a time-resolved proteomic dataset has allowed the elucidation of complex biological processes which characterize stem cell differentiation and could establish a general paradigm for the investigation of these processes.
2015-06-13 | PXD001901 | Pride
Project description:Cell cycle and differentiation decisions are tightly linked; however, the underlying principles that drive these decisions are not fully understood. Here, we combined cell-cycle reporter system and single-cell RNA-seq profiling, to study the transcriptomes of mouse embryonic stem cells (ESCs) in the context of cell cycle states and differentiation. By applying a retinoic acid-based differentiation protocol we show that only cells in the G2/M phase are capable of differentiating into extraembryonic endoderm cells (XENs), whereas cells in the G1 phase predominantly produce epiblast stem cells (EpiSCs). Mechanistically, we show that Esrrb is a potent XEN state inducer as it is predominantly upregulated during G2/M phase, and cells engineered to overexpress Esrrb during G1 phase forced the cells to become XENs. Interestingly, this phenomenon is unique to the pluripotency ground state as sorting cells after 48 hours of differentiation resulted in a cell cycle-independent differentiation decisions. Cells in both G1 and G2/M phases contributed equally to EpiSC and XEN cellular lineages. Taken together, this study reveals an important functional link between cell-cycle states of pluripotent cells and lineage decisions, emphasizing the regulatory role of cell cycle during exit from pluripotency and can be further expand our understanding of early differentiation events.
2022-05-19 | GSE178390 | GEO
Project description:Human embryonic stem cells (hESCs) provide a powerful in vitro model to study lineage specification and the regulatory programs underlying early human development. Here, we present a high-resolution, temporal multi-omics dataset tracking mRNA, translation, and protein expression dynamics during hESC differentiation into definitive endoderm and subsequent polyhormonal (PH) cells, a key pancreatic lineage. RNA-seq, ribosome profiling, and quantitative mass spectrometry-based proteomics were performed on matched samples collected at ten time points in biological duplicates, allowing detailed characterization of transcriptional, translational, and protein abundance changes over the differentiation timeline. The dataset exhibits high technical quality, with strong reproducibility between replicates and rigorous quality control metrics across all omics platforms. This extensive dataset provides critical insights into the complex regulatory mechanisms driving polyhormonal cell differentiation and serves as a valuable resource for the research community, enabling deeper exploration of mammalian development, endodermal lineage specification, and gene regulation.
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Project description:The experiment was designed to investigate transcriptional dynamics during definitive endoderm differentiation of human embryonic stem cells (hESCs) in early G1 phase of the cell cycle. For this, the FUCCI system was used to sort hESCs in Early G1 (EG1). Samples were taken at 0h (hESCs), 12h, 24h, 36h, 48h, 60h and 72h in triplicates. Total RNA was extracted using the GenElute Mammalian Total RNA Miniprep Kit (Sigma-Aldrich) and residual genomic DNA was removed using the On-Column DNase I Digestion Set (Sigma-Aldrich) following manufacturer’s instructions. The libraries were generated at a library fragment size between 100 bp to 1 kb with Stranded RNAseq Standard with Oligo dT pulldown. All samples were amplified with a standard 10 PCR cycle before sequencing. The samples were multiplexed and analysed by Illumina Hiseq V4 with a paired end read-length PE75. RNA-seq data analysis was performed following recommendations described in Conesa et al. (DOI https://doi.org/10.1186/s13059-016-0881-8).
2020-09-07 | E-MTAB-9194 | biostudies-arrayexpress
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2025-06-03 | GSE283697 | GEO
Project description:The experiment was designed to investigate histone modification changes during cell cycle progression of human embryonic stem cells (hESCs) during definitive endoderm differentiation. For this, FUCCI hESCs were sorted in Early G1 (EG1), and differentiation into endoderm was performed for up to 72 hours with a combination of cytokines as described in Pauklin and Vallier (2013) and Pauklin et al. (2016). ChIP-seq was generated at 12-hour and 36-hour time-points for H3K4me3, H3K27ac, H3K4me1, H3K36me3 and H3K27me3. Library preparation and sequencing were performed at the Wellcome Sanger Institute next-generation sequencing facility on Illumina HiSeq 2000, 2 x 75bp paired-end reads. ChIP-seq data from other time-points (0h, 24h, 48h and 72h) of the same experimental set-up is available elsewhere (GEO DataSet, accession PRJNA593217). All processed ChIP-seq data is publicly available at http://ngs.sanger.ac.uk/production/endoderm
2020-09-07 | E-MTAB-9276 | biostudies-arrayexpress
Project description:Single cell-based studies have revealed tremendous cellular heterogeneity in stem cell and progenitor compartments, suggesting continuous differentiation trajectories with intermixing of cells at various states of lineage commitment and notable degree of plasticity during organogenesis. The hepato-pancreato-biliary organ system relies on a small endoderm progenitor compartment that gives rise to a variety of different adult tissues, including liver, pancreas, gallbladder, and extra-hepatic bile ducts. Experimental manipulation of various developmental signals in the mouse embryo underscored important cellular plasticity in this embryonic territory. This is also reflected in the existence of human genetic syndromes as well as congenital or environmentally-caused human malformations featuring multiorgan phenotypes in liver, pancreas and gallbladder. Nevertheless, the precise lineage hierarchy and succession of events leading to the segregation of an endoderm progenitor compartment into hepatic, biliary, and pancreatic structures are not yet established. Here, we combine computational modelling approaches with genetic lineage tracing to assess the tissue dynamics accompanying the ontogeny of the hepato-pancreato-biliary organ system. We show that a multipotent progenitor domain persists at the border between liver and pancreas, even after pancreatic fate is specified, contributing to the formation of several organ derivatives, including the liver. Moreover, using single-cell RNA sequencing we define a specialized niche that possibly supports such extended cell fate plasticity.
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