HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP

Merve Şahin(Memorial Sloan Kettering Cancer Center), Wilfred Wong(Memorial Sloan Kettering Cancer Center), Yingqian A. Zhan(Memorial Sloan Kettering Cancer Center), Kinsey Van Deynze(University of California San Diego), Richard P. Koche(Memorial Sloan Kettering Cancer Center), Christina S. Leslie(Memorial Sloan Kettering Cancer Center)
Nature Communications
June 7, 2021
Cited by 64Open Access
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Abstract

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.


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