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Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen.

ABSTRACT: A major drawback of single-cell ATAC-seq (scATAC-seq) is its sparsity, i.e., open chromatin regions with no reads due to loss of DNA material during the scATAC-seq protocol. Here, we propose scOpen, a computational method based on regularized non-negative matrix factorization for imputing and quantifying the open chromatin status of regulatory regions from sparse scATAC-seq experiments. We show that scOpen improves crucial downstream analysis steps of scATAC-seq data as clustering, visualization, cis-regulatory DNA interactions, and delineation of regulatory features. We demonstrate the power of scOpen to dissect regulatory changes in the development of fibrosis in the kidney. This identifies a role of Runx1 and target genes by promoting fibroblast to myofibroblast differentiation driving kidney fibrosis.

SUBMITTER: Li Z

PROVIDER: S-EPMC8568974 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen.

Li Zhijian Z Kuppe Christoph C Ziegler Susanne S Cheng Mingbo M Kabgani Nazanin N Menzel Sylvia S Zenke Martin M Kramann Rafael R Costa Ivan G IG

Nature communications 20211104 1

A major drawback of single-cell ATAC-seq (scATAC-seq) is its sparsity, i.e., open chromatin regions with no reads due to loss of DNA material during the scATAC-seq protocol. Here, we propose scOpen, a computational method based on regularized non-negative matrix factorization for imputing and quantifying the open chromatin status of regulatory regions from sparse scATAC-seq experiments. We show that scOpen improves crucial downstream analysis steps of scATAC-seq data as clustering, visualization ...[more]

PMID: 34737275

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