ColorCells: a database of expression, classification and functions of lncRNAs in single cells. Issue 4 (14th December 2020)

• Record Type: Journal Article
• Authors: Zheng, Ling-Ling; Xiong, Jing-Hua; Zheng, Wu-Jian; Wang, Jun-Hao; Huang, Zi-Liang; Chen, Zhi-Rong; Sun, Xin-Yao; Zheng, Yi-Min; Zhou, Ke-Ren; Li, Bin; Liu, Shun; Qu, Liang-Hu; Yang, Jian-Hua
• Is Part Of: Briefings in bioinformatics. Volume 22:Issue 4(2021)
• Publication Date: 2020-12-14
• Subjects: single-cell RNA-Seq -- lncRNA -- expression -- classification -- function; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbaa325
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: Although long noncoding RNAs (lncRNAs) have significant tissue specificity, their expression and variability in single cells remain unclear. Here, we developed ColorCells (http://rna.sysu.edu.cn/colorcells/ ), a resource for comparative analysis of lncRNAs expression, classification and functions in single-cell RNA-Seq data. ColorCells was applied to 167 913 publicly available scRNA-Seq datasets from six species, and identified a batch of cell-specific lncRNAs. These lncRNAs show surprising levels of expression variability between different cell clusters, and has the comparable cell classification ability as known marker genes. Cell-specific lncRNAs have been identified and further validated by in vitro experiments. We found that lncRNAs are typically co-expressed with the mRNAs in the same cell cluster, which can be used to uncover lncRNAs' functions. Our study emphasizes the need to uncover lncRNAs in all cell types and shows the power of lncRNAs as novel marker genes at single cell resolution.