ArticlePLoS genetics2013
Computational identification of diverse mechanisms underlying transcription factor-DNA occupancy.
Article in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Review
- Transcriptional kinetic synergy: A complex landscape revealed by integrating modeling and synthetic biology.Cell systems · 2023Article
- Thermodynamics-based modeling reveals regulatory effects of indirect transcription factor-DNA binding.iScience · 2022Article
- DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers.Nature genetics · 2022Article
- A self-attention model for inferring cooperativity between regulatory features.Nucleic acids research · 2021Article
- Enhancer grammar in development, evolution, and disease: dependencies and interplay.Developmental cell · 2021Review
- Base-resolution models of transcription-factor binding reveal soft motif syntax.Nature genetics · 2021Article
- Learning and interpreting the gene regulatory grammar in a deep learning framework.PLoS computational biology · 2020Article
- Transcriptional Enhancers inGenetics · 2020Review
- Mechanistic interpretation of non-coding variants for discovering transcriptional regulators of drug response.BMC biology · 2019Article
- The Role of Chromatin Accessibility in cis-Regulatory Evolution.Genome biology and evolution · 2019Article
- ChIPulate: A comprehensive ChIP-seq simulation pipeline.PLoS computational biology · 2019Article
- Recruitment and delivery of the fission yeast Rst2 transcription factor via a local genome structure counteracts repression by Tup1-family corepressors.Nucleic acids research · 2017Article
- Uncoupling evolutionary changes in DNA sequence, transcription factor occupancy and enhancer activity.eLife · 2017Article
- Sex combs reduced (Scr) regulatory region of Drosophila revisited.Molecular genetics and genomics : MGG · 2017Article
- Inferring condition-specific targets of human TF-TF complexes using ChIP-seq data.BMC genomics · 2017Article
- Contextual Refinement of Regulatory Targets Reveals Effects on Breast Cancer Prognosis of the Regulome.PLoS computational biology · 2017Article
- Quantitative modeling of gene expression using DNA shape features of binding sites.Nucleic acids research · 2016Article
- The Role of Genome Accessibility in Transcription Factor Binding in Bacteria.PLoS computational biology · 2016Article
- A Systematic Ensemble Approach to Thermodynamic Modeling of Gene Expression from Sequence Data.Cell systems · 2015Article
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8 authors.
Funding
Abstract
ChIP-based genome-wide assays of transcription factor (TF) occupancy have emerged as a powerful, high-throughput method to understand transcriptional regulation, especially on a global scale. This has led to great interest in the underlying biochemical mechanisms that direct TF-DNA binding, with the ultimate goal of computationally predicting a TF's occupancy profile in any cellular condition. In this study, we examined the influence of various potential determinants of TF-DNA binding on a much larger scale than previously undertaken. We used a thermodynamics-based model of TF-DNA binding, called "STAP," to analyze 45 TF-ChIP data sets from Drosophila embryonic development. We built a cross-validation framework that compares a baseline model, based on the ChIP'ed ("primary") TF's motif, to more complex models where binding by secondary TFs is hypothesized to influence the primary TF's occupancy. Candidates interacting TFs were chosen based on RNA-SEQ expression data from the time point of the ChIP experiment. We found widespread evidence of both cooperative and antagonistic effects by secondary TFs, and explicitly quantified these effects. We were able to identify multiple classes of interactions, including (1) long-range interactions between primary and secondary motifs (separated by ≤150 bp), suggestive of indirect effects such as chromatin remodeling, (2) short-range interactions with specific inter-site spacing biases, suggestive of direct physical interactions, and (3) overlapping binding sites suggesting competitive binding. Furthermore, by factoring out the previously reported strong correlation between TF occupancy and DNA accessibility, we were able to categorize the effects into those that are likely to be mediated by the secondary TF's effect on local accessibility and those that utilize accessibility-independent mechanisms. Finally, we conducted in vitro pull-down assays to test model-based predictions of short-range cooperative interactions, and found that seven of the eight TF pairs tested physically interact and that some of these interactions mediate cooperative binding to DNA.
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