Compartmap enables inference of higher-order chromatin structure in individual cells from scRNA-seq and scATAC-seq
Benjamin K. Johnson, Jean‐Philippe Fortin, Kasper D. Hansen, Hui Shen, Timothy J. Triche
Abstract
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Benjamin K. Johnson, Jean‐Philippe Fortin, Kasper D. Hansen, Hui Shen, Timothy J. Triche
Abstract
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Abstract Single-cell profiling of chromatin structure remains a challenge due to cost, throughput, and resolution. We introduce compartmap to reconstruct higher-order chromatin domains in individual cells from transcriptomic (RNAseq) and epigenomic (ATACseq) assays. In cell lines and primary human samples, compartmap infers higher-order chromatin structure comparable to specialized chromatin capture methods, and identifies clinically relevant structural alterations in single cells. This provides a common lens to integrate transcriptional and epigenomic results, linking higher-order chromatin architecture to gene regulation and to clinically relevant phenotypes in individual cells.
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Abstract Single-cell profiling of chromatin structure remains a challenge due to cost, throughput, and resolution. We introduce compartmap to reconstruct higher-order chromatin domains in individual cells from transcriptomic (RNAseq) and epigenomic (ATACseq) assays. In cell lines and primary human samples, compartmap infers higher-order chromatin structure comparable to specialized chromatin capture methods, and identifies clinically relevant structural alterations in single cells. This provides a common lens to integrate transcriptional and epigenomic results, linking higher-order chromatin architecture to gene regulation and to clinically relevant phenotypes in individual cells.
Key concepts: Chromatin, Epigenomics, Computational biology, Biology, Transcriptome, Phenotype, Chromosome conformation capture, Gene