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A genome-wide interactome of DNA-associated proteins in the human liver
Large-scale efforts like the ENCODE Project have made tremendous progress in cataloging the genomic binding patterns of DNA-associated proteins (DAPs), such as transcription factors (TFs). However, most chromatin immunoprecipitation-sequencing (ChIP-seq) analyses have focused on a few immortalized c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5668951/ https://www.ncbi.nlm.nih.gov/pubmed/29021291 http://dx.doi.org/10.1101/gr.222083.117 |
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author | Ramaker, Ryne C. Savic, Daniel Hardigan, Andrew A. Newberry, Kimberly Cooper, Gregory M. Myers, Richard M. Cooper, Sara J. |
author_facet | Ramaker, Ryne C. Savic, Daniel Hardigan, Andrew A. Newberry, Kimberly Cooper, Gregory M. Myers, Richard M. Cooper, Sara J. |
author_sort | Ramaker, Ryne C. |
collection | PubMed |
description | Large-scale efforts like the ENCODE Project have made tremendous progress in cataloging the genomic binding patterns of DNA-associated proteins (DAPs), such as transcription factors (TFs). However, most chromatin immunoprecipitation-sequencing (ChIP-seq) analyses have focused on a few immortalized cell lines whose activities and physiology differ in important ways from endogenous cells and tissues. Consequently, binding data from primary human tissue are essential to improving our understanding of in vivo gene regulation. Here, we identify and analyze more than 440,000 binding sites using ChIP-seq data for 20 DAPs in two human liver tissue samples. We integrated binding data with transcriptome and phased WGS data to investigate allelic DAP interactions and the impact of heterozygous sequence variation on the expression of neighboring genes. Our tissue-based data set exhibits binding patterns more consistent with liver biology than cell lines, and we describe uses of these data to better prioritize impactful noncoding variation. Collectively, our rich data set offers novel insights into genome function in human liver tissue and provides a valuable resource for assessing disease-related disruptions. |
format | Online Article Text |
id | pubmed-5668951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56689512018-05-01 A genome-wide interactome of DNA-associated proteins in the human liver Ramaker, Ryne C. Savic, Daniel Hardigan, Andrew A. Newberry, Kimberly Cooper, Gregory M. Myers, Richard M. Cooper, Sara J. Genome Res Resource Large-scale efforts like the ENCODE Project have made tremendous progress in cataloging the genomic binding patterns of DNA-associated proteins (DAPs), such as transcription factors (TFs). However, most chromatin immunoprecipitation-sequencing (ChIP-seq) analyses have focused on a few immortalized cell lines whose activities and physiology differ in important ways from endogenous cells and tissues. Consequently, binding data from primary human tissue are essential to improving our understanding of in vivo gene regulation. Here, we identify and analyze more than 440,000 binding sites using ChIP-seq data for 20 DAPs in two human liver tissue samples. We integrated binding data with transcriptome and phased WGS data to investigate allelic DAP interactions and the impact of heterozygous sequence variation on the expression of neighboring genes. Our tissue-based data set exhibits binding patterns more consistent with liver biology than cell lines, and we describe uses of these data to better prioritize impactful noncoding variation. Collectively, our rich data set offers novel insights into genome function in human liver tissue and provides a valuable resource for assessing disease-related disruptions. Cold Spring Harbor Laboratory Press 2017-11 /pmc/articles/PMC5668951/ /pubmed/29021291 http://dx.doi.org/10.1101/gr.222083.117 Text en © 2017 Ramaker et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Resource Ramaker, Ryne C. Savic, Daniel Hardigan, Andrew A. Newberry, Kimberly Cooper, Gregory M. Myers, Richard M. Cooper, Sara J. A genome-wide interactome of DNA-associated proteins in the human liver |
title | A genome-wide interactome of DNA-associated proteins in the human liver |
title_full | A genome-wide interactome of DNA-associated proteins in the human liver |
title_fullStr | A genome-wide interactome of DNA-associated proteins in the human liver |
title_full_unstemmed | A genome-wide interactome of DNA-associated proteins in the human liver |
title_short | A genome-wide interactome of DNA-associated proteins in the human liver |
title_sort | genome-wide interactome of dna-associated proteins in the human liver |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5668951/ https://www.ncbi.nlm.nih.gov/pubmed/29021291 http://dx.doi.org/10.1101/gr.222083.117 |
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