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scAPAdb: a comprehensive database of alternative polyadenylation at single-cell resolution by Sheng Zhu; Qiwei Lian; Wenbin Ye; Wei Qin; Zhe Wu; Guoli Ji; Xiaohui Wu is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is scAPAdb: a comprehensive database of alternative polyadenylation at single-cell resolution about?

## Abstract Alternative polyadenylation (APA) is a widespread regulatory mechanism of transcript diversification in eukaryotes, which is increasingly recognized as an important layer for eukaryotic gene expression. Recent studies based on single-cell RNA-seq (scRNA-seq) have revealed cell-to-cell heterogeneity in APA usage and APA dynamics across different cell types in various tissues, biological processes and diseases. However, currently available APA databases were all collected from bulk 3′-seq and/or RNA-seq data, and no existing database has provided APA information at single-cell resolution. Here, we present a user-friendly database called scAPAdb (http://www.bmibig.cn/scAPAdb), which provides a comprehensive and manually curated atlas of poly(A) sites, APA events and poly(A) signals at the single-cell level. Currently, scAPAdb collects APA information from > 360 scRNA-seq experiments, covering six species including human, mouse and several other plant species. scAPAdb also provides batch download of data, and users can query the database through a variety of keywords such as gene identifier, gene function and accession number. scAPAdb would be a valuable and extendable reso

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Author

Sheng Zhu; Qiwei Lian; Wenbin Ye; Wei Qin; Zhe Wu; Guoli Ji; Xiaohui Wu

Published

2021

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)