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Article

PACells identifies phenotype-associated cell states from single-cell chromatin accessibility profiles.

American journal of human genetics - 7 May 2026

Hua Jiao, Sheng Qiongyu, Xiao Shutong, Zhou Yang, Qi Jing, Jin Shuilin

Abstract excerpt

Identifying cell states that drive clinical phenotypes is crucial for dissecting regulatory landscapes, pathogenesis, and targeted therapies of disease in single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq). Here, we present PACells, a framework that links clinical phenotypes from bulk ATAC-seq data with individual cells from scATAC-seq data to identify critical cell states at...

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Identifiers

PMID: 41966687
DOI: 10.1016/j.ajhg.2026.03.012
PMCID: PMC13277693

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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