Publication

The Histone Acetyltransferase MOF is a Key Regulator of the Embryonic Stem Cell Core Transcriptional Network

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Last modified
  • 05/21/2025
Type of Material
Authors
    Xiangzhi Li, University of MichiganLi Li, Emory UniversityRuchi Pandey, University of MichiganJung S. Byun, NIHKevin Gardner, NIHZhaohui Qin, Emory UniversityYali Dou, University of Michigan
Language
  • English
Date
  • 2012-08-03
Publisher
  • Elsevier (Cell Press): 12 month embargo
Publication Version
Copyright Statement
  • © 2012 Elsevier Inc.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1934-5909
Volume
  • 11
Issue
  • 2
Start Page
  • 163
End Page
  • 178
Grant/Funding Information
  • This work is supported by NIGMS (R01GM082856) and American Cancer Society (RSG 117573) grants to YD, NHGRI (R01HG005119) grant to ZQ and NSFC (31171428) grant to XL.
Supplemental Material (URL)
Abstract
  • Pluripotent embryonic stem cells (ESCs) maintain self-renewal and the potential for rapid response to differentiation cues. Both ESC features are subject to epigenetic regulation. Here we show that the histone acetyltransferase Mof plays an essential role in the maintenance of ESC self-renewal and pluripotency. ESCs with Mof deletion lose characteristic morphology, alkaline phosphatase (AP) staining, and differentiation potential. They also have aberrant expression of the core transcription factors Nanog, Oct4, and Sox2. Importantly, the phenotypes of Mof null ESCs can be partially suppressed by Nanog overexpression, supporting the idea that Mof functions as an upstream regulator of Nanog in ESCs. Genome-wide ChIP-sequencing and transcriptome analyses further demonstrate that Mof is an integral component of the ESC core transcriptional network and that Mof primes genes for diverse developmental programs. Mof is also required for Wdr5 recruitment and H3K4 methylation at key regulatory loci, highlighting the complexity and interconnectivity of various chromatin regulators in ESCs. © 2012 Elsevier Inc.
Author Notes
Keywords
Research Categories
  • Biology, Biostatistics
  • Biology, Bioinformatics
  • Health Sciences, Public Health

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