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The Transcriptionally Permissive Chromatin State of Embryonic Stem Cells Is Acutely Tuned to Translational Output.

Cell stem cell | 2018

A permissive chromatin environment coupled to hypertranscription drives the rapid proliferation of embryonic stem cells (ESCs) and peri-implantation embryos. We carried out a genome-wide screen to systematically dissect the regulation of the euchromatic state of ESCs. The results revealed that cellular growth pathways, most prominently translation, perpetuate the euchromatic state and hypertranscription of ESCs. Acute inhibition of translation rapidly depletes euchromatic marks in mouse ESCs and blastocysts, concurrent with delocalization of RNA polymerase II and reduction in nascent transcription. Translation inhibition promotes rewiring of chromatin accessibility, which decreases at a subset of active developmental enhancers and increases at histone genes and transposable elements. Proteome-scale analyses revealed that several euchromatin regulators are unstable proteins and continuously depend on a high translational output. We propose that this mechanistic interdependence of euchromatin, transcription, and translation sets the pace of proliferation at peri-implantation and may be employed by other stem/progenitor cells.

Pubmed ID: 29499153 RIS Download

Antibodies used in this publication

Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: P41 GM103481
  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK063720
  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM007618
  • Agency: NIH HHS, United States
    Id: S10 OD016229
  • Agency: NCI NIH HHS, United States
    Id: P30 CA082103
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM123556
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM113014
  • Agency: NIMH NIH HHS, United States
    Id: U01 MH105028
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UP_1605/4
  • Agency: NIH HHS, United States
    Id: R01 OD012204
  • Agency: NICHD NIH HHS, United States
    Id: F30 HD093116

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This is a list of tools and resources that we have found mentioned in this publication.


R Project for Statistical Computing (tool)

RRID:SCR_001905

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