Exploring long non-coding RNA networks from single cell omics data.

Zhao X, Lan Y, Chen D*
Comput Struct Biotechnol J. 2022 Aug 4;20:4381-4389. doi: 10.1016/j.csbj.2022.08.003. eCollection 2022.
Abstract

Single-cell omics technologies provide an unprecedented opportunity to decipher molecular mechanisms underlying various biological processes in a cellular heterogeneity manner. The emergence of such techniques promotes the exploration of lncRNAs, which are known to be tissue- and cell-specific noncoding transcripts involving the regulation of multiple important cellular processes. In this review, we introduce the advancement of lncRNA studies which benefit from single-cell omics data analysis. We discuss the expression heterogeneity of lncRNAs, their cell-type specificity and associated gene regulatory networks (GRNs) from a single-cell perspective. We also summarized the state-of-the-art single-cell omics resources and tools for the construction of single-cell GRNs (scGRNs) that could be potentially used for lncRNA functional study. Finally, we highlight the challenges and prospective for scGRN exploration in lncRNA biology.

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School of Life Sciences, Nanjing University
Nanjing 210023, China

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