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.
Abstract

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

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School of Life Sciences, Nanjing University
Nanjing 210023, China

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