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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8362665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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