CREBBP/EP300 bromodomains are critical to sustain the GATA1/MYC regulatory axis in proliferation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Veronica Garcia-Carpizo, Sergio Ruiz-Llorente, Jacinto Sarmentero, Osvaldo Graña-Castro, David G. Pisano, Maria J. Barrero

ABSTRACT

BACKGROUND: The reported antitumor activity of the BET family bromodomain inhibitors has prompted the development of inhibitors against other bromodomains. However, the human genome encodes more than 60 different bromodomains and most of them remain unexplored. RESULTS: We report that the bromodomains of the histone acetyltransferases CREBBP/EP300 are critical to sustain the proliferation of human leukemia and lymphoma cell lines. EP300 is very abundant at super-enhancers in K562 and is coincident with sites of GATA1 and MYC occupancy. In accordance, CREBBP/EP300 bromodomain inhibitors interfere with GATA1- and MYC-driven transcription, causing the accumulation of cells in the G0/G1 phase of the cell cycle. The CREBBP/CBP30 bromodomain inhibitor CBP30 displaces CREBBP and EP300 from GATA1 and MYC binding sites at enhancers, resulting in a decrease in the levels of histone acetylation at these regulatory regions and consequently reduced gene expression of critical genes controlled by these transcription factors. CONCLUSIONS: Our data shows that inhibition of CREBBP/EP300 bromodomains can interfere with oncogene-driven transcriptional programs in cancer cells and consequently hold therapeutic potential. More... »

PAGES

30

References to SciGraph publications

  • 2014-05. Targeting bromodomains: epigenetic readers of lysine acetylation in NATURE REVIEWS DRUG DISCOVERY
  • 2011-10. Inhibition of BET recruitment to chromatin as an effective treatment for MLL-fusion leukaemia in NATURE
  • 2009-01. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources in NATURE PROTOCOLS
  • 2016-12. NSD2 contributes to oncogenic RAS-driven transcription in lung cancer cells through long-range epigenetic activation in SCIENTIFIC REPORTS
  • 2014-08. Improved vectors and genome-wide libraries for CRISPR screening in NATURE METHODS
  • 1999-06. Structure and ligand of a histone acetyltransferase bromodomain in NATURE
  • 2010-04. MYC as a regulator of ribosome biogenesis and protein synthesis in NATURE REVIEWS CANCER
  • 2017-10. Discovery of a selective catalytic p300/CBP inhibitor that targets lineage-specific tumours in NATURE
  • 2015-06. Discovery of cancer drug targets by CRISPR-Cas9 screening of protein domains in NATURE BIOTECHNOLOGY
  • 2010-05. GREAT improves functional interpretation of cis-regulatory regions in NATURE BIOTECHNOLOGY
  • 2011-08. Cistrome: an integrative platform for transcriptional regulation studies in GENOME BIOLOGY
  • 2012-09. An integrated encyclopedia of DNA elements in the human genome in NATURE
  • 1998-12. Regulation of activity of the transcription factor GATA-1 by acetylation in NATURE
  • 2010-12. Selective inhibition of BET bromodomains in NATURE
  • 2015-06-17. Single-cell chromatin accessibility reveals principles of regulatory variation in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13072-018-0197-x

    DOI

    http://dx.doi.org/10.1186/s13072-018-0197-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1104462553

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29884215


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