Literature DB >> 35650434

Differential cofactor dependencies define distinct types of human enhancers.

Christoph Neumayr1,2, Vanja Haberle1, Leonid Serebreni1,2, Katharina Karner1, Oliver Hendy1,2, Ann Boija3, Jonathan E Henninger3, Charles H Li3,4, Karel Stejskal1,5, Gen Lin1, Katharina Bergauer1, Michaela Pagani1, Martina Rath1, Karl Mechtler1,5, Cosmas D Arnold1, Alexander Stark6,7.   

Abstract

All multicellular organisms rely on differential gene transcription regulated by genomic enhancers, which function through cofactors that are recruited by transcription factors1,2. Emerging evidence suggests that not all cofactors are required at all enhancers3-5, yet whether these observations reflect more general principles or distinct types of enhancers remained unknown. Here we categorized human enhancers by their cofactor dependencies and show that these categories provide a framework to understand the sequence and chromatin diversity of enhancers and their roles in different gene-regulatory programmes. We quantified enhancer activities along the entire human genome using STARR-seq6 in HCT116 cells, following the rapid degradation of eight cofactors. This analysis identified different types of enhancers with distinct cofactor requirements, sequences and chromatin properties. Some enhancers were insensitive to the depletion of the core Mediator subunit MED14 or the bromodomain protein BRD4 and regulated distinct transcriptional programmes. In particular, canonical Mediator7 seemed dispensable for P53-responsive enhancers, and MED14-depleted cells induced endogenous P53 target genes. Similarly, BRD4 was not required for the transcription of genes that bear CCAAT boxes and a TATA box (including histone genes and LTR12 retrotransposons) or for the induction of heat-shock genes. This categorization of enhancers through cofactor dependencies reveals distinct enhancer types that can bypass broadly utilized cofactors, which illustrates how alternative ways to activate transcription separate gene expression programmes and provide a conceptual framework to understand enhancer function and regulatory specificity.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35650434      PMCID: PMC7613064          DOI: 10.1038/s41586-022-04779-x

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  67 in total

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Authors:  N Vo; R H Goodman
Journal:  J Biol Chem       Date:  2001-03-08       Impact factor: 5.157

Review 2.  Enhancer function regulated by combinations of transcription factors and cofactors.

Authors:  Takeya Nakagawa; Mitsuhiro Yoneda; Miki Higashi; Yoshiaki Ohkuma; Takashi Ito
Journal:  Genes Cells       Date:  2018-08-31       Impact factor: 1.891

3.  CDK7 inhibition suppresses super-enhancer-linked oncogenic transcription in MYCN-driven cancer.

Authors:  Edmond Chipumuro; Eugenio Marco; Camilla L Christensen; Nicholas Kwiatkowski; Tinghu Zhang; Clark M Hatheway; Brian J Abraham; Bandana Sharma; Caleb Yeung; Abigail Altabef; Antonio Perez-Atayde; Kwok-Kin Wong; Guo-Cheng Yuan; Nathanael S Gray; Richard A Young; Rani E George
Journal:  Cell       Date:  2014-11-06       Impact factor: 41.582

4.  ChIP-seq accurately predicts tissue-specific activity of enhancers.

Authors:  Axel Visel; Matthew J Blow; Zirong Li; Tao Zhang; Jennifer A Akiyama; Amy Holt; Ingrid Plajzer-Frick; Malak Shoukry; Crystal Wright; Feng Chen; Veena Afzal; Bing Ren; Edward M Rubin; Len A Pennacchio
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

Review 5.  Promoter-proximal pausing of RNA polymerase II: emerging roles in metazoans.

Authors:  Karen Adelman; John T Lis
Journal:  Nat Rev Genet       Date:  2012-10       Impact factor: 53.242

Review 6.  The Mediator complex: a central integrator of transcription.

Authors:  Benjamin L Allen; Dylan J Taatjes
Journal:  Nat Rev Mol Cell Biol       Date:  2015-02-18       Impact factor: 94.444

Review 7.  Combinatorial function of transcription factors and cofactors.

Authors:  Franziska Reiter; Sebastian Wienerroither; Alexander Stark
Journal:  Curr Opin Genet Dev       Date:  2017-01-19       Impact factor: 4.665

8.  Resolving systematic errors in widely used enhancer activity assays in human cells.

Authors:  Felix Muerdter; Łukasz M Boryń; Ashley R Woodfin; Christoph Neumayr; Martina Rath; Muhammad A Zabidi; Michaela Pagani; Vanja Haberle; Tomáš Kazmar; Rui R Catarino; Katharina Schernhuber; Cosmas D Arnold; Alexander Stark
Journal:  Nat Methods       Date:  2017-12-11       Impact factor: 28.547

9.  Transcriptional plasticity promotes primary and acquired resistance to BET inhibition.

Authors:  Philipp Rathert; Mareike Roth; Tobias Neumann; Felix Muerdter; Jae-Seok Roe; Matthias Muhar; Sumit Deswal; Sabine Cerny-Reiterer; Barbara Peter; Julian Jude; Thomas Hoffmann; Łukasz M Boryń; Elin Axelsson; Norbert Schweifer; Ulrike Tontsch-Grunt; Lukas E Dow; Davide Gianni; Mark Pearson; Peter Valent; Alexander Stark; Norbert Kraut; Christopher R Vakoc; Johannes Zuber
Journal:  Nature       Date:  2015-09-14       Impact factor: 49.962

10.  Selective Mediator dependence of cell-type-specifying transcription.

Authors:  Martin G Jaeger; Björn Schwalb; Sebastian D Mackowiak; Taras Velychko; Alexander Hanzl; Hana Imrichova; Matthias Brand; Benedikt Agerer; Someth Chorn; Behnam Nabet; Fleur M Ferguson; André C Müller; Andreas Bergthaler; Nathanael S Gray; James E Bradner; Christoph Bock; Denes Hnisz; Patrick Cramer; Georg E Winter
Journal:  Nat Genet       Date:  2020-06-01       Impact factor: 38.330

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