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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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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 |
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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 |