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GRHL2-dependent enhancer switching maintains a pluripotent stem cell transcriptional subnetwork after exit from naïve pluripotency [ESC & EpiLC]

ABSTRACT: GRHL2-dependent enhancer switching maintains a pluripotent stem cell transcriptional subnetwork after exit from naïve pluripotency [ESC & EpiLC]

PROVIDER: PRJNA448904 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR6949400.fastq.gz	Fastqsanger.gz
	SRR6949395.fastq.gz	Fastqsanger.gz
	SRR6949396.fastq.gz	Fastqsanger.gz
	SRR6949397.fastq.gz	Fastqsanger.gz
	SRR6949398.fastq.gz	Fastqsanger.gz

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GRHL2-dependent enhancer switching maintains a pluripotent stem cell transcriptional subnetwork after exit from naïve pluripotency [ESC & EpiLC]

Project description:During early development, pluripotent cells of the epiblast show extensive rewiring of enhancers with little associated change in gene expression. The mechanisms underlying and purpose of this rewiring are largely unknown. Here we identified a transcription factor, GRHL2, that is both necessary and sufficient to activate latent enhancers during the transition from naïve embryonic stem cells (ESC) to primed epiblast cells (EpiC). GRHL2 is necessary to maintain expression of its targets in EpiCs. However, these genes are already expressed at equivalent levels in ESCs, suggesting these genes switch enhancer usage during the transition. Identification of alternative enhancers driving these genes in ESCs uncovered an enrichment for the ESC-specific KLF transcription factors. While many KLF targets remain expressed in EpiCs, GRHL2 only regulates a specific subset promoting an epithelial program. These data suggest a model where a large naïve-specific transcriptional network is partitioned into smaller networks to uncouple their regulation in EpiCs, providing more flexibility in gene regulation during lineage specification.

2018-07-12 | GSE112749 | GEO

GRHL2-dependent enhancer switching maintains a pluripotent stem cell transcriptional subnetwork after exit from naïve pluripotency [WT & KO]

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GRHL2-dependent enhancer switching maintains a pluripotent stem cell transcriptional subnetwork after exit from naïve pluripotency [ChIP-Seq]

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GRHL2-dependent enhancer switching maintains a pluripotent stem cell transcriptional subnetwork after exit from naïve pluripotency

Project description:GRHL2-dependent enhancer switching maintains a pluripotent stem cell transcriptional subnetwork after exit from naïve pluripotency

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GRHL2-dependent enhancer switching maintains a pluripotent stem cell transcriptional subnetwork after exit from naïve pluripotency [Illumina MouseRef-8 v2.0 expression]

2018-07-12 | GSE93146 | GEO

GRHL2-dependent enhancer switching maintains a pluripotent stem cell transcriptional subnetwork after exit from naïve pluripotency [WT & KO]

Project description:GRHL2-dependent enhancer switching maintains a pluripotent stem cell transcriptional subnetwork after exit from naïve pluripotency [WT & KO]

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WGBS WT J1 ESC at D3 of EpiLC differentiation

Project description:WGBS WT J1 ESC at D3 of EpiLC differentiation

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WGBS WT J1 ESC at D3 of EpiLC differentiation

Project description:We investigate the dynamic of DNA methylation on epiblast differentiation. To this end, we used in vitro Epiblast-like cell (EpiLC) differentiation on WT murine ESCs during 3 days. We next performed bisulfite conversion and whole-genome sequecing to assess methylation levels.

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DDX6 decouples translational repression from RNA degradation of miRNA targets [ESC EpiLC 4sU]

Project description:DDX6 decouples translational repression from RNA degradation of miRNA targets [ESC EpiLC 4sU]

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Transcriptomic Analysis of Naïve mESC, Primed mESC and EpiLC

Project description:Pluripotency is a transient feature during early embryonic development, which enables the epiblast cells to generate all the somatic lineages of the organism. Studies using mouse embryo and embryonic stem cell (ESC) indicates that embryonic pluripotency is highly dynamic with a spectrum of pluripotent states. To better understand and characterise the different pluripotent states (Naïve, Primed and EpiLC), we have generated RNA-seq datasets.

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