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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...

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Detalles Bibliográficos
Autores principales: Yamada, Naomi, Rossi, Matthew J, Farrell, Nina, Pugh, B Franklin, Mahony, Shaun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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.
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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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