ArticleNucleic acids research2020
Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein-DNA complexes.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Mechanisms of MCM2-7 helicase activation and initial DNA melting at near base-pair resolution.Nature communications · 2026Article
- FoxP3 forms a head-to-head dimer in vivo and stabilizes its multimerization on adjacent microsatellites.Cell reports · 2025Article
- FoxP3 forms a head-to-head dimer in vivo and stabilizes its multimerization on adjacent microsatellites.bioRxiv : the preprint server for biology · 2025Article
- Compact Origins and Where to Find Them: ORC's Guide to Genome-Wide Licensing.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025Review
- MCM2-7 loading-dependent ORC release ensures genome-wide origin licensing.Nature communications · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The ChIP-exo assay precisely delineates protein-DNA crosslinking patterns by combining chromatin immunoprecipitation with 5' to 3' exonuclease digestion. Within a regulatory complex, the physical distance of a regulatory protein to DNA affects crosslinking efficiencies. Therefore, the spatial organization of a protein-DNA complex could potentially be inferred by analyzing how crosslinking signatures vary between its subunits. Here, we present a computational framework that aligns ChIP-exo crosslinking patterns from multiple proteins across a set of coordinately bound regulatory regions, and which detects and quantifies protein-DNA crosslinking events within the aligned profiles. By producing consistent measurements of protein-DNA crosslinking strengths across multiple proteins, our approach enables characterization of relative spatial organization within a regulatory complex. Applying our approach to collections of ChIP-exo data, we demonstrate that it can recover aspects of regulatory complex spatial organization at yeast ribosomal protein genes and yeast tRNA genes. We also demonstrate the ability to quantify changes in protein-DNA complex organization across conditions by applying our approach to analyze Drosophila Pol II transcriptional components. Our results suggest that principled analyses of ChIP-exo crosslinking patterns enable inference of spatial organization within protein-DNA complexes.
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Registered trials
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