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Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases

The retina is composed of 11 types of cells, including neurons, glial cells and vascular bed cells. It contains five types of neurons, each with specific physiological, morphological, and molecular definitions. Currently, single-cell RNA sequencing (sRNA-seq) is emerging as one of the most powerful...

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Autores principales: Ying, Peixi, Huang, Chang, Wang, Yan, Guo, Xi, Cao, Yuchen, Zhang, Yuxi, Fu, Sheng, Chen, Lin, Yi, Guoguo, Fu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362665/
https://www.ncbi.nlm.nih.gov/pubmed/34395530
http://dx.doi.org/10.3389/fmolb.2021.699906
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author Ying, Peixi
Huang, Chang
Wang, Yan
Guo, Xi
Cao, Yuchen
Zhang, Yuxi
Fu, Sheng
Chen, Lin
Yi, Guoguo
Fu, Min
author_facet Ying, Peixi
Huang, Chang
Wang, Yan
Guo, Xi
Cao, Yuchen
Zhang, Yuxi
Fu, Sheng
Chen, Lin
Yi, Guoguo
Fu, Min
author_sort Ying, Peixi
collection PubMed
description The retina is composed of 11 types of cells, including neurons, glial cells and vascular bed cells. It contains five types of neurons, each with specific physiological, morphological, and molecular definitions. Currently, single-cell RNA sequencing (sRNA-seq) is emerging as one of the most powerful tools to reveal the complexity of the retina. The continuous discovery of retina-related gene targets plays an important role in helping us understand the nature of diseases. The revelation of new cell subpopulations can focus the occurrence and development of diseases on specific biological activities of specific cells. In addition, sRNA-seq performs high-throughput sequencing analysis of epigenetics, transcriptome and genome at the single-cell level, with the advantages of high-throughput and high-resolution. In this paper, we systematically review the development history of sRNA-seq technology, and summarize the new subtypes of retinal cells and some specific gene markers discovered by this technology. The progress in the diagnosis of retinal related diseases is also discussed.
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spelling pubmed-83626652021-08-14 Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases Ying, Peixi Huang, Chang Wang, Yan Guo, Xi Cao, Yuchen Zhang, Yuxi Fu, Sheng Chen, Lin Yi, Guoguo Fu, Min Front Mol Biosci Molecular Biosciences The retina is composed of 11 types of cells, including neurons, glial cells and vascular bed cells. It contains five types of neurons, each with specific physiological, morphological, and molecular definitions. Currently, single-cell RNA sequencing (sRNA-seq) is emerging as one of the most powerful tools to reveal the complexity of the retina. The continuous discovery of retina-related gene targets plays an important role in helping us understand the nature of diseases. The revelation of new cell subpopulations can focus the occurrence and development of diseases on specific biological activities of specific cells. In addition, sRNA-seq performs high-throughput sequencing analysis of epigenetics, transcriptome and genome at the single-cell level, with the advantages of high-throughput and high-resolution. In this paper, we systematically review the development history of sRNA-seq technology, and summarize the new subtypes of retinal cells and some specific gene markers discovered by this technology. The progress in the diagnosis of retinal related diseases is also discussed. Frontiers Media S.A. 2021-07-30 /pmc/articles/PMC8362665/ /pubmed/34395530 http://dx.doi.org/10.3389/fmolb.2021.699906 Text en Copyright © 2021 Ying, Huang, Wang, Guo, Cao, Zhang, Fu, Chen, Yi and Fu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Ying, Peixi
Huang, Chang
Wang, Yan
Guo, Xi
Cao, Yuchen
Zhang, Yuxi
Fu, Sheng
Chen, Lin
Yi, Guoguo
Fu, Min
Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases
title Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases
title_full Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases
title_fullStr Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases
title_full_unstemmed Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases
title_short Single-Cell RNA Sequencing of Retina:New Looks for Gene Marker and Old Diseases
title_sort single-cell rna sequencing of retina:new looks for gene marker and old diseases
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362665/
https://www.ncbi.nlm.nih.gov/pubmed/34395530
http://dx.doi.org/10.3389/fmolb.2021.699906
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