» Articles » PMID: 37059858

A Multi-omics Integrative Analysis Based on CRISPR Screens Re-defines the Pluripotency Regulatory Network in ESCs

Overview
Journal Commun Biol
Specialty Biology
Date 2023 Apr 14
PMID 37059858
Authors
Affiliations
Soon will be listed here.
Abstract

A comprehensive and precise definition of the pluripotency gene regulatory network (PGRN) is crucial for clarifying the regulatory mechanisms in embryonic stem cells (ESCs). Here, after a CRISPR/Cas9-based functional genomics screen and integrative analysis with other functional genomes, transcriptomes, proteomes and epigenome data, an expanded pluripotency-associated gene set is obtained, and a new PGRN with nine sub-classes is constructed. By integrating the DNA binding, epigenetic modification, chromatin conformation, and RNA expression profiles, the PGRN is resolved to six functionally independent transcriptional modules (CORE, MYC, PAF, PRC, PCGF and TBX). Spatiotemporal transcriptomics reveal activated CORE/MYC/PAF module activity and repressed PRC/PCGF/TBX module activity in both mouse ESCs (mESCs) and pluripotent cells of early embryos. Moreover, this module activity pattern is found to be shared by human ESCs (hESCs) and cancers. Thus, our results provide novel insights into elucidating the molecular basis of ESC pluripotency.

Citing Articles

Stem cell transcriptional profiles from mouse subspecies reveal cis-regulatory evolution at translation genes.

Simon N, Kim Y, Gribnau J, Bautista D, Dutton J, Brem R Heredity (Edinb). 2024; 133(5):308-316.

PMID: 39164520 PMC: 11527988. DOI: 10.1038/s41437-024-00715-z.


The Art of Finding the Right Drug Target: Emerging Methods and Strategies.

Jia Z, Yang X, Wu Y, Li M, Das D, Chen M Pharmacol Rev. 2024; 76(5):896-914.

PMID: 38866560 PMC: 11334170. DOI: 10.1124/pharmrev.123.001028.

References
1.
Liao Y, Smyth G, Shi W . featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2013; 30(7):923-30. DOI: 10.1093/bioinformatics/btt656. View

2.
Yang P, Ormerod J, Liu W, Ma C, Zomaya A, Yang J . AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications. IEEE Trans Cybern. 2018; 49(5):1932-1943. DOI: 10.1109/TCYB.2018.2816984. View

3.
Li W, Xu H, Xiao T, Cong L, Love M, Zhang F . MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens. Genome Biol. 2014; 15(12):554. PMC: 4290824. DOI: 10.1186/s13059-014-0554-4. View

4.
Li M, Izpisua Belmonte J . Ground rules of the pluripotency gene regulatory network. Nat Rev Genet. 2017; 18(3):180-191. DOI: 10.1038/nrg.2016.156. View

5.
Williams R, Hilton D, Pease S, Willson T, Stewart C, Gearing D . Myeloid leukaemia inhibitory factor maintains the developmental potential of embryonic stem cells. Nature. 1988; 336(6200):684-7. DOI: 10.1038/336684a0. View