Characterization of chromatin accessibility patterns in different mouse cell types using machine learning methods at single-cell resolution.

ABSTRACT: Chromatin accessibility is a generic property of the eukaryotic genome, which refers to the degree of physical compaction of chromatin. Recent studies have shown that chromatin accessibility is cell type dependent, indicating chromatin heterogeneity across cell lines and tissues. The identification of markers used to distinguish cell types at the chromosome level is important to understand cell function and classify cell types. In the present study, we investigated transcriptionally active chromosome segments identified by sci-ATAC-seq at single-cell resolution, including 69,015 cells belonging to 77 different cell types. Each cell was represented by existence status on 20,783 genes that were obtained from 436,206 active chromosome segments. The gene features were deeply analyzed by Boruta

SUBMITTER: Xu Y 

PROVIDER: S-EPMC10014730 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature