Cargando…

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

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 nonco...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Xue, Lan, Yangming, Chen, Dijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403499/
https://www.ncbi.nlm.nih.gov/pubmed/36051880
http://dx.doi.org/10.1016/j.csbj.2022.08.003
_version_ 1784773391162540032
author Zhao, Xue
Lan, Yangming
Chen, Dijun
author_facet Zhao, Xue
Lan, Yangming
Chen, Dijun
author_sort Zhao, Xue
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9403499
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Research Network of Computational and Structural Biotechnology
record_format MEDLINE/PubMed
spelling pubmed-94034992022-08-31 Exploring long non-coding RNA networks from single cell omics data Zhao, Xue Lan, Yangming Chen, Dijun Comput Struct Biotechnol J Review Article 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. Research Network of Computational and Structural Biotechnology 2022-08-04 /pmc/articles/PMC9403499/ /pubmed/36051880 http://dx.doi.org/10.1016/j.csbj.2022.08.003 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Zhao, Xue
Lan, Yangming
Chen, Dijun
Exploring long non-coding RNA networks from single cell omics data
title Exploring long non-coding RNA networks from single cell omics data
title_full Exploring long non-coding RNA networks from single cell omics data
title_fullStr Exploring long non-coding RNA networks from single cell omics data
title_full_unstemmed Exploring long non-coding RNA networks from single cell omics data
title_short Exploring long non-coding RNA networks from single cell omics data
title_sort exploring long non-coding rna networks from single cell omics data
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403499/
https://www.ncbi.nlm.nih.gov/pubmed/36051880
http://dx.doi.org/10.1016/j.csbj.2022.08.003
work_keys_str_mv AT zhaoxue exploringlongnoncodingrnanetworksfromsinglecellomicsdata
AT lanyangming exploringlongnoncodingrnanetworksfromsinglecellomicsdata
AT chendijun exploringlongnoncodingrnanetworksfromsinglecellomicsdata