Literature DB >> 31092928

Transcriptional cofactors display specificity for distinct types of core promoters.

Vanja Haberle1, Cosmas D Arnold1, Michaela Pagani1, Martina Rath1, Katharina Schernhuber1, Alexander Stark2,3.   

Abstract

Transcriptional cofactors (COFs) communicate regulatory cues from enhancers to promoters and are central effectors of transcription activation and gene expression1. Although some COFs have been shown to prefer certain promoter types2-5 over others (for example, see refs 6,7), the extent to which different COFs display intrinsic specificities for distinct promoters is unclear. Here we use a high-throughput promoter-activity assay in Drosophila melanogaster S2 cells to screen 23 COFs for their ability to activate 72,000 candidate core promoters (CPs). We observe differential activation of CPs, indicating distinct regulatory preferences or 'compatibilities'8,9 between COFs and specific types of CPs. These functionally distinct CP types are differentially enriched for known sequence elements2,4, such as the TATA box, downstream promoter element (DPE) or TCT motif, and display distinct chromatin properties at endogenous loci. Notably, the CP types differ in their relative abundance of H3K4me3 and H3K4me1 marks (see also refs 10-12), suggesting that these histone modifications might distinguish trans-regulatory factors rather than promoter- versus enhancer-type cis-regulatory elements. We confirm the existence of distinct COF-CP compatibilities in two additional Drosophila cell lines and in human cells, for which we find COFs that prefer TATA-box or CpG-island promoters, respectively. Distinct compatibilities between COFs and promoters can explain how different enhancers specifically activate distinct sets of genes9, alternative promoters within the same genes, and distinct transcription start sites within the same promoter13. Thus, COF-promoter compatibilities may underlie distinct transcriptional programs in species as divergent as flies and humans.

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Year:  2019        PMID: 31092928      PMCID: PMC7613045          DOI: 10.1038/s41586-019-1210-7

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


  53 in total

1.  Pausing of RNA polymerase II disrupts DNA-specified nucleosome organization to enable precise gene regulation.

Authors:  Daniel A Gilchrist; Gilberto Dos Santos; David C Fargo; Bin Xie; Yuan Gao; Leping Li; Karen Adelman
Journal:  Cell       Date:  2010-11-12       Impact factor: 41.582

2.  Using GOstats to test gene lists for GO term association.

Authors:  S Falcon; R Gentleman
Journal:  Bioinformatics       Date:  2006-11-10       Impact factor: 6.937

3.  Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome.

Authors:  Nathaniel D Heintzman; Rhona K Stuart; Gary Hon; Yutao Fu; Christina W Ching; R David Hawkins; Leah O Barrera; Sara Van Calcar; Chunxu Qu; Keith A Ching; Wei Wang; Zhiping Weng; Roland D Green; Gregory E Crawford; Bing Ren
Journal:  Nat Genet       Date:  2007-02-04       Impact factor: 38.330

4.  Hormone-responsive enhancer-activity maps reveal predictive motifs, indirect repression, and targeting of closed chromatin.

Authors:  Daria Shlyueva; Christoph Stelzer; Daniel Gerlach; J Omar Yáñez-Cuna; Martina Rath; Łukasz M Boryń; Cosmas D Arnold; Alexander Stark
Journal:  Mol Cell       Date:  2014-03-27       Impact factor: 17.970

Review 5.  Regulatory Enhancer-Core-Promoter Communication via Transcription Factors and Cofactors.

Authors:  Muhammad A Zabidi; Alexander Stark
Journal:  Trends Genet       Date:  2016-11-02       Impact factor: 11.639

6.  Diversity and dynamics of the Drosophila transcriptome.

Authors:  James B Brown; Nathan Boley; Robert Eisman; Gemma E May; Marcus H Stoiber; Michael O Duff; Ben W Booth; Jiayu Wen; Soo Park; Ana Maria Suzuki; Kenneth H Wan; Charles Yu; Dayu Zhang; Joseph W Carlson; Lucy Cherbas; Brian D Eads; David Miller; Keithanne Mockaitis; Johnny Roberts; Carrie A Davis; Erwin Frise; Ann S Hammonds; Sara Olson; Sol Shenker; David Sturgill; Anastasia A Samsonova; Richard Weiszmann; Garret Robinson; Juan Hernandez; Justen Andrews; Peter J Bickel; Piero Carninci; Peter Cherbas; Thomas R Gingeras; Roger A Hoskins; Thomas C Kaufman; Eric C Lai; Brian Oliver; Norbert Perrimon; Brenton R Graveley; Susan E Celniker
Journal:  Nature       Date:  2014-08-28       Impact factor: 49.962

7.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

8.  GAGA factor maintains nucleosome-free regions and has a role in RNA polymerase II recruitment to promoters.

Authors:  Nicholas J Fuda; Michael J Guertin; Sumeet Sharma; Charles G Danko; André L Martins; Adam Siepel; John T Lis
Journal:  PLoS Genet       Date:  2015-03-27       Impact factor: 5.917

9.  Motif composition, conservation and condition-specificity of single and alternative transcription start sites in the Drosophila genome.

Authors:  Elizabeth A Rach; Hsiang-Yu Yuan; William H Majoros; Pavel Tomancak; Uwe Ohler
Journal:  Genome Biol       Date:  2009-07-09       Impact factor: 13.583

10.  The BET protein FSH functionally interacts with ASH1 to orchestrate global gene activity in Drosophila.

Authors:  Tobias Kockmann; Moritz Gerstung; Tommy Schlumpf; Zhu Xhinzhou; Daniel Hess; Niko Beerenwinkel; Christian Beisel; Renato Paro
Journal:  Genome Biol       Date:  2013-02-25       Impact factor: 13.583

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  30 in total

Review 1.  Towards a comprehensive catalogue of validated and target-linked human enhancers.

Authors:  Molly Gasperini; Jacob M Tome; Jay Shendure
Journal:  Nat Rev Genet       Date:  2020-01-27       Impact factor: 53.242

Review 2.  Chromosome Conformation Capture and Beyond: Toward an Integrative View of Chromosome Structure and Function.

Authors:  Rachel Patton McCord; Noam Kaplan; Luca Giorgetti
Journal:  Mol Cell       Date:  2020-01-27       Impact factor: 17.970

Review 3.  The relationship between genome structure and function.

Authors:  A Marieke Oudelaar; Douglas R Higgs
Journal:  Nat Rev Genet       Date:  2020-11-24       Impact factor: 53.242

Review 4.  Generating specificity in genome regulation through transcription factor sensitivity to chromatin.

Authors:  Luke Isbel; Ralph S Grand; Dirk Schübeler
Journal:  Nat Rev Genet       Date:  2022-07-12       Impact factor: 59.581

5.  Systematic discovery of recombinases for efficient integration of large DNA sequences into the human genome.

Authors:  Matthew G Durrant; Alison Fanton; Josh Tycko; Michaela Hinks; Sita S Chandrasekaran; Nicholas T Perry; Julia Schaepe; Peter P Du; Peter Lotfy; Michael C Bassik; Lacramioara Bintu; Ami S Bhatt; Patrick D Hsu
Journal:  Nat Biotechnol       Date:  2022-10-10       Impact factor: 68.164

Review 6.  Enhancer-gene specificity in development and disease.

Authors:  Tomás Pachano; Endika Haro; Alvaro Rada-Iglesias
Journal:  Development       Date:  2022-06-10       Impact factor: 6.862

7.  Differential cofactor dependencies define distinct types of human enhancers.

Authors:  Christoph Neumayr; Vanja Haberle; Leonid Serebreni; Katharina Karner; Oliver Hendy; Ann Boija; Jonathan E Henninger; Charles H Li; Karel Stejskal; Gen Lin; Katharina Bergauer; Michaela Pagani; Martina Rath; Karl Mechtler; Cosmas D Arnold; Alexander Stark
Journal:  Nature       Date:  2022-06-01       Impact factor: 69.504

8.  Compatibility rules of human enhancer and promoter sequences.

Authors:  Drew T Bergman; Thouis R Jones; Vincent Liu; Judhajeet Ray; Evelyn Jagoda; Layla Siraj; Helen Y Kang; Joseph Nasser; Michael Kane; Antonio Rios; Tung H Nguyen; Sharon R Grossman; Charles P Fulco; Eric S Lander; Jesse M Engreitz
Journal:  Nature       Date:  2022-05-20       Impact factor: 69.504

Review 9.  A Comprehensive Toolbox to Analyze Enhancer-Promoter Functions.

Authors:  Benedetto Daniele Giaimo; Tobias Friedrich; Tilman Borggrefe
Journal:  Methods Mol Biol       Date:  2021

10.  A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning.

Authors:  Ariel Erijman; Lukasz Kozlowski; Salma Sohrabi-Jahromi; James Fishburn; Linda Warfield; Jacob Schreiber; William S Noble; Johannes Söding; Steven Hahn
Journal:  Mol Cell       Date:  2020-05-15       Impact factor: 17.970

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