Transcriptional network dynamics during the progression of pluripotency revealed by integrative statistical learning.

ABSTRACT: The developmental potential of cells, termed pluripotency, is highly dynamic and progresses through a continuum of naive, formative and primed states. Pluripotency progression of mouse embryonic stem cells (ESCs) from naive to formative and primed state is governed by transcription factors (TFs) and their target genes. Genomic techniques have uncovered a multitude of TF binding sites in ESCs, yet a major challenge lies in identifying target genes from functional binding sites and reconstructing dynamic transcriptional networks underlying pluripotency progression. Here, we integrated time-resolved 'trans-omic' datasets together with TF binding profiles and chromatin conformation data to identify target genes of a panel of TFs. Our analyses revealed that naive TF target genes are more likely

SUBMITTER: Kim HJ 

PROVIDER: S-EPMC7038952 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature