ArticleGenome research2012
Sequence and chromatin determinants of cell-type-specific transcription factor binding.
Article in Genome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.
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Who cites it
137 citing papers in PubMed.
- ShapeME: A Tool and Web Front-end for De Novo Discovery of Structural Motifs Underpinning Protein-DNA Interactions.Journal of molecular biology · 2026Article
- An automated ATAC-seq method reveals sequence determinants of transcription factor dose response in the open chromatin.bioRxiv : the preprint server for biology · 2025Article
- A dynamic molecular landscape in colorectal cancer progression at single-cell resolution.Journal of translational medicine · 2025Article
- Excessive MYC Orchestrates Macrophages induced Chromatin Remodeling to Sustain Micropapillary-Patterned Malignancy in Lung Adenocarcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Modeling and designing enhancers by introducing and harnessing transcription factor binding units.Nature communications · 2025Article
- ShapeME: A tool and web front-end for de novo discovery of structural motifs underpinning protein-DNA interactions.bioRxiv : the preprint server for biology · 2025Article
- Identifying transcription factors with cell-type specific DNA binding signatures.BMC genomics · 2024Article
- Systematic dissection of sequence features affecting binding specificity of a pioneer factor reveals binding synergy between FOXA1 and AP-1.Molecular cell · 2024Article
- Quantitative and systematic NMR measurements of sequence-dependent A-T Hoogsteen dynamics uncovers unique conformational specificity in the DNA double helix.bioRxiv : the preprint server for biology · 2024Article
- Uncovering uncharacterized binding of transcription factors from ATAC-seq footprinting data.Scientific reports · 2024Article
- Article
- Crosstalk between chromatin and Shavenbaby defines transcriptional output along the Drosophila intestinal stem cell lineage.iScience · 2024Article
- Multiomics-integrated deep language model enables in silico genome-wide detection of transcription factor binding site in unexplored biosamples.Bioinformatics (Oxford, England) · 2024Article
- Epigenetic Regulation of Ameloblast Differentiation by HMGN Proteins.Journal of dental research · 2024Article
- Systematic Dissection of Sequence Features Affecting the Binding Specificity of a Pioneer Factor Reveals Binding Synergy Between FOXA1 and AP-1.bioRxiv : the preprint server for biology · 2023Article
- Clustered and diverse transcription factor binding underlies cell type specificity of enhancers for housekeeping genes.Genome research · 2023Article
- A survey on algorithms to characterize transcription factor binding sites.Briefings in bioinformatics · 2023Review
- Prediction of mammalian tissue-specific CLOCK-BMAL1 binding to E-box DNA motifs.Scientific reports · 2023Article
- Computational prediction and characterization of cell-type-specific and shared binding sites.Bioinformatics (Oxford, England) · 2023Article
- CLIMB: High-dimensional association detection in large scale genomic data.Nature communications · 2022Article
77 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
Abstract
Gene regulatory programs in distinct cell types are maintained in large part through the cell-type-specific binding of transcription factors (TFs). The determinants of TF binding include direct DNA sequence preferences, DNA sequence preferences of cofactors, and the local cell-dependent chromatin context. To explore the contribution of DNA sequence signal, histone modifications, and DNase accessibility to cell-type-specific binding, we analyzed 286 ChIP-seq experiments performed by the ENCODE Consortium. This analysis included experiments for 67 transcriptional regulators, 15 of which were profiled in both the GM12878 (lymphoblastoid) and K562 (erythroleukemic) human hematopoietic cell lines. To model TF-bound regions, we trained support vector machines (SVMs) that use flexible k-mer patterns to capture DNA sequence signals more accurately than traditional motif approaches. In addition, we trained SVM spatial chromatin signatures to model local histone modifications and DNase accessibility, obtaining significantly more accurate TF occupancy predictions than simpler approaches. Consistent with previous studies, we find that DNase accessibility can explain cell-line-specific binding for many factors. However, we also find that of the 10 factors with prominent cell-type-specific binding patterns, four display distinct cell-type-specific DNA sequence preferences according to our models. Moreover, for two factors we identify cell-specific binding sites that are accessible in both cell types but bound only in one. For these sites, cell-type-specific sequence models, rather than DNase accessibility, are better able to explain differential binding. Our results suggest that using a single motif for each TF and filtering for chromatin accessible loci is not always sufficient to accurately account for cell-type-specific binding profiles.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.