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HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP
Recent genome-wide chromosome conformation capture assays such as Hi-C and HiChIP have vastly expanded the resolution and throughput with which we can study 3D genomic architecture and function. Here, we present HiC-DC+, a software tool for Hi-C/HiChIP interaction calling and differential analysis u...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184932/ https://www.ncbi.nlm.nih.gov/pubmed/34099725 http://dx.doi.org/10.1038/s41467-021-23749-x |
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author | Sahin, Merve Wong, Wilfred Zhan, Yingqian Van Deynze, Kinsey Koche, Richard Leslie, Christina S. |
author_facet | Sahin, Merve Wong, Wilfred Zhan, Yingqian Van Deynze, Kinsey Koche, Richard Leslie, Christina S. |
author_sort | Sahin, Merve |
collection | PubMed |
description | Recent genome-wide chromosome conformation capture assays such as Hi-C and HiChIP have vastly expanded the resolution and throughput with which we can study 3D genomic architecture and function. Here, we present HiC-DC+, a software tool for Hi-C/HiChIP interaction calling and differential analysis using an efficient implementation of the HiC-DC statistical framework. HiC-DC+ integrates with popular preprocessing and visualization tools and includes topologically associating domain (TAD) and A/B compartment callers. We found that HiC-DC+ can more accurately identify enhancer-promoter interactions in H3K27ac HiChIP, as validated by CRISPRi-FlowFISH experiments, compared to existing methods. Differential HiC-DC+ analyses of published HiChIP and Hi-C data sets in settings of cellular differentiation and cohesin perturbation systematically and quantitatively recovers biological findings, including enhancer hubs, TAD aggregation, and the relationship between promoter-enhancer loop dynamics and gene expression changes. HiC-DC+ therefore provides a principled statistical analysis tool to empower genome-wide studies of 3D chromatin architecture and function. |
format | Online Article Text |
id | pubmed-8184932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81849322021-06-11 HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP Sahin, Merve Wong, Wilfred Zhan, Yingqian Van Deynze, Kinsey Koche, Richard Leslie, Christina S. Nat Commun Article Recent genome-wide chromosome conformation capture assays such as Hi-C and HiChIP have vastly expanded the resolution and throughput with which we can study 3D genomic architecture and function. Here, we present HiC-DC+, a software tool for Hi-C/HiChIP interaction calling and differential analysis using an efficient implementation of the HiC-DC statistical framework. HiC-DC+ integrates with popular preprocessing and visualization tools and includes topologically associating domain (TAD) and A/B compartment callers. We found that HiC-DC+ can more accurately identify enhancer-promoter interactions in H3K27ac HiChIP, as validated by CRISPRi-FlowFISH experiments, compared to existing methods. Differential HiC-DC+ analyses of published HiChIP and Hi-C data sets in settings of cellular differentiation and cohesin perturbation systematically and quantitatively recovers biological findings, including enhancer hubs, TAD aggregation, and the relationship between promoter-enhancer loop dynamics and gene expression changes. HiC-DC+ therefore provides a principled statistical analysis tool to empower genome-wide studies of 3D chromatin architecture and function. Nature Publishing Group UK 2021-06-07 /pmc/articles/PMC8184932/ /pubmed/34099725 http://dx.doi.org/10.1038/s41467-021-23749-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sahin, Merve Wong, Wilfred Zhan, Yingqian Van Deynze, Kinsey Koche, Richard Leslie, Christina S. HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP |
title | HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP |
title_full | HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP |
title_fullStr | HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP |
title_full_unstemmed | HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP |
title_short | HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP |
title_sort | hic-dc+ enables systematic 3d interaction calls and differential analysis for hi-c and hichip |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184932/ https://www.ncbi.nlm.nih.gov/pubmed/34099725 http://dx.doi.org/10.1038/s41467-021-23749-x |
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