TRPS1 shapes YAP/TEAD-dependent transcription in breast cancer cells View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Dana Elster, Marie Tollot, Karin Schlegelmilch, Alessandro Ori, Andreas Rosenwald, Erik Sahai, Björn von Eyss

ABSTRACT

Yes-associated protein (YAP), the downstream transducer of the Hippo pathway, is a key regulator of organ size, differentiation and tumorigenesis. To uncover Hippo-independent YAP regulators, we performed a genome-wide CRISPR screen that identifies the transcriptional repressor protein Trichorhinophalangeal Syndrome 1 (TRPS1) as a potent repressor of YAP-dependent transactivation. We show that TRPS1 globally regulates YAP-dependent transcription by binding to a large set of joint genomic sites, mainly enhancers. TRPS1 represses YAP-dependent function by recruiting a spectrum of corepressor complexes to joint sites. Loss of TRPS1 leads to activation of enhancers due to increased H3K27 acetylation and an altered promoter-enhancer interaction landscape. TRPS1 is commonly amplified in breast cancer, which suggests that restrained YAP activity favours tumour growth. High TRPS1 activity is associated with decreased YAP activity and leads to decreased frequency of tumour-infiltrating immune cells. Our study uncovers TRPS1 as an epigenetic regulator of YAP activity in breast cancer. More... »

PAGES

3115

References to SciGraph publications

  • 2008-12. A unified approach to false discovery rate estimation in BMC BIOINFORMATICS
  • 2008-12. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification in NATURE BIOTECHNOLOGY
  • 2012-11-25. Restriction of intestinal stem cell expansion and the regenerative response by YAP in NATURE
  • 2013-03. Multiplexed chromosome conformation capture sequencing for rapid genome-scale high-resolution detection of long-range chromatin interactions in NATURE PROTOCOLS
  • 2014-08. PVT1 dependence in cancer with MYC copy-number increase in NATURE
  • 2011-06. Role of YAP/TAZ in mechanotransduction in NATURE
  • 2007-03. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry in NATURE METHODS
  • 2015-10. Yap-dependent reprogramming of Lgr5+ stem cells drives intestinal regeneration and cancer in NATURE
  • 2015-04. Cellular energy stress induces AMPK-mediated regulation of YAP and the Hippo pathway in NATURE CELL BIOLOGY
  • 2015-09. Genome-wide association between YAP/TAZ/TEAD and AP-1 at enhancers drives oncogenic growth in NATURE CELL BIOLOGY
  • 2015-04. AMPK modulates Hippo pathway activity to regulate energy homeostasis in NATURE CELL BIOLOGY
  • 2014-01. A genetic screen identifies an LKB1–MARK signalling axis controlling the Hippo–YAP pathway in NATURE CELL BIOLOGY
  • 2013-12. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position in NATURE METHODS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41467-018-05370-7

    DOI

    http://dx.doi.org/10.1038/s41467-018-05370-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1105928845

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30082728


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    HOW TO GET THIS DATA PROGRAMMATICALLY:

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    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-05370-7'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-05370-7'

    Turtle is a human-readable linked data format.

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    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-05370-7'


     

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