Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA369204 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5217031_1.fastq.gz | Fastqsanger.gz | |||
| SRR5217031_2.fastq.gz | Fastqsanger.gz | |||
| SRR5217032_1.fastq.gz | Fastqsanger.gz | |||
| SRR5217032_2.fastq.gz | Fastqsanger.gz | |||
| SRR5217033_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
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Project description:Precisely co-ordinated activation of lineage specific transcription factors direct cell fate decisions during mouse early development. The T-box transcription factor Eomes is dynamically expressed during mouse gastrulation and is a key regulator of the anterior visceral endoderm (AVE), cardiac mesoderm and definitive endoderm (DE) lineages. The cis-acting regulatory elements that direct spatiotemporally restricted Eomes expression domains have yet to be elucidated. To understand transcriptional regulation of Eomes in Definitive Endoderm open chromatin data was generated by ATAC-seq and histone modifications identified by ChIP-seq. Interactions at the Eomes locus and the loci of two related transcription factors Foxa2 and Lhx1, was also determined by NG Capture-C.
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Project description:Enhancers play key roles in gene regulation. However, comprehensive enhancer discovery is challenging because most enhancers, especially those affected in complex diseases, have weak effects on gene expression. Through gene regulatory network modeling, we identified that dynamic cell state transitions, a critical missing component in prevalent enhancer discovery strategies, can be utilized to improve the cells’ sensitivity to enhancer perturbation. Guided by the modeling results, we performed a mid-transition CRISPRi-based enhancer screen utilizing human embryonic stem cell definitive endoderm differentiation as a dynamic transition system. The screen discovered a comprehensive set of enhancers (4 to 9 per locus) for each of the core lineage-specifying transcription factors (TFs), including many enhancers with weak to moderate effects. Integrating the screening results with enhancer activity measurements (ATAC-seq, H3K27ac ChIP-seq) and three-dimensional enhancer-promoter interaction information (CTCF looping, Hi-C), we were able to develop a CTCF loop-constrained Interaction Activity (CIA) model that can better predict functional enhancers compared to models that rely on Hi-C-based enhancer-promoter contact frequency. Together, our dynamic network-guided enhancer screen and the CIA enhancer prediction model provide generalizable strategies for sensitive and more comprehensive enhancer discovery in both normal and pathological cell state transitions.
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