Reconstructing epigenomic dynamics through a single-cell multi-epigenome data integration framework.

ABSTRACT: Transcriptional regulation arises from the dynamic and combinatorial actions of multiple regulatory factors on genomic DNA. Although many epigenomic regulators have been identified, the precise order in which these factors accumulate at individual gene loci to activate transcription remains unclear. Here we show a single-cell data integration framework that infers the binding order of multiple chromatin factors at single-cell resolution. Central to this framework is sci-mtChIL-seq, a scalable single-cell method that simultaneously profiles genome-wide binding of RNA polymerase II (RNAPII) and diverse epigenomic regulators. By defining transcriptional states through RNAPII occupancy and integrating multiple sci-mtChIL-seq datasets, we systematically link the combinatorial patterns of transc

SUBMITTER: Fujii T 

PROVIDER: S-EPMC12711870 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature