Literature DB >> 28137873

Systematic dissection of genomic features determining transcription factor binding and enhancer function.

Sharon R Grossman1,2,3, Xiaolan Zhang1, Li Wang1, Jesse Engreitz1,4, Alexandre Melnikov1, Peter Rogov1, Ryan Tewhey1,5,6, Alina Isakova7,8, Bart Deplancke7,8, Bradley E Bernstein1,9,10, Tarjei S Mikkelsen1,11,12, Eric S Lander13,2,14.   

Abstract

Enhancers regulate gene expression through the binding of sequence-specific transcription factors (TFs) to cognate motifs. Various features influence TF binding and enhancer function-including the chromatin state of the genomic locus, the affinities of the binding site, the activity of the bound TFs, and interactions among TFs. However, the precise nature and relative contributions of these features remain unclear. Here, we used massively parallel reporter assays (MPRAs) involving 32,115 natural and synthetic enhancers, together with high-throughput in vivo binding assays, to systematically dissect the contribution of each of these features to the binding and activity of genomic regulatory elements that contain motifs for PPARγ, a TF that serves as a key regulator of adipogenesis. We show that distinct sets of features govern PPARγ binding vs. enhancer activity. PPARγ binding is largely governed by the affinity of the specific motif site and higher-order features of the larger genomic locus, such as chromatin accessibility. In contrast, the enhancer activity of PPARγ binding sites depends on varying contributions from dozens of TFs in the immediate vicinity, including interactions between combinations of these TFs. Different pairs of motifs follow different interaction rules, including subadditive, additive, and superadditive interactions among specific classes of TFs, with both spatially constrained and flexible grammars. Our results provide a paradigm for the systematic characterization of the genomic features underlying regulatory elements, applicable to the design of synthetic regulatory elements or the interpretation of human genetic variation.

Entities:  

Keywords:  gene regulation; systems biology; transcription factor binding

Mesh:

Substances:

Year:  2017        PMID: 28137873      PMCID: PMC5321001          DOI: 10.1073/pnas.1621150114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  99 in total

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Journal:  Nat Biotechnol       Date:  2012-02-26       Impact factor: 54.908

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Authors:  Troy W Whitfield; Jie Wang; Patrick J Collins; E Christopher Partridge; Shelley Force Aldred; Nathan D Trinklein; Richard M Myers; Zhiping Weng
Journal:  Genome Biol       Date:  2012-09-26       Impact factor: 13.583

10.  Integrative analysis of 111 reference human epigenomes.

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Journal:  Nature       Date:  2015-02-19       Impact factor: 69.504

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  61 in total

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5.  High-Resolution Mapping of Multiway Enhancer-Promoter Interactions Regulating Pathogen Detection.

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Review 6.  Organizing combinatorial transcription factor recruitment at cis-regulatory modules.

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7.  FUN-LDA: A Latent Dirichlet Allocation Model for Predicting Tissue-Specific Functional Effects of Noncoding Variation: Methods and Applications.

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8.  Clock-controlled rhythmic transcription: is the clock enough and how does it work?

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