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Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein–DNA complexes
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 organi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672471/ https://www.ncbi.nlm.nih.gov/pubmed/32747934 http://dx.doi.org/10.1093/nar/gkaa618 |
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author | Yamada, Naomi Rossi, Matthew J Farrell, Nina Pugh, B Franklin Mahony, Shaun |
author_facet | Yamada, Naomi Rossi, Matthew J Farrell, Nina Pugh, B Franklin Mahony, Shaun |
author_sort | Yamada, Naomi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7672471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76724712020-11-24 Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein–DNA complexes Yamada, Naomi Rossi, Matthew J Farrell, Nina Pugh, B Franklin Mahony, Shaun Nucleic Acids Res NAR Breakthrough Article 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. Oxford University Press 2020-08-04 /pmc/articles/PMC7672471/ /pubmed/32747934 http://dx.doi.org/10.1093/nar/gkaa618 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | NAR Breakthrough Article Yamada, Naomi Rossi, Matthew J Farrell, Nina Pugh, B Franklin Mahony, Shaun Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein–DNA complexes |
title | Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein–DNA complexes |
title_full | Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein–DNA complexes |
title_fullStr | Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein–DNA complexes |
title_full_unstemmed | Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein–DNA complexes |
title_short | Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein–DNA complexes |
title_sort | alignment and quantification of chip-exo crosslinking patterns reveal the spatial organization of protein–dna complexes |
topic | NAR Breakthrough Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672471/ https://www.ncbi.nlm.nih.gov/pubmed/32747934 http://dx.doi.org/10.1093/nar/gkaa618 |
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