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Single-cell transcriptomics: A new tool for studying diabetic kidney disease
The kidney is a complex organ comprising various functional partitions and special cell types that play important roles in maintaining homeostasis in the body. Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease and is an independent risk factor for cardiovascular diseases....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846140/ https://www.ncbi.nlm.nih.gov/pubmed/36685214 http://dx.doi.org/10.3389/fphys.2022.1053850 |
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author | Mao, Zi-Hui Gao, Zhong-Xiuzi Liu, Yong Liu, Dong-Wei Liu, Zhang-Suo Wu, Peng |
author_facet | Mao, Zi-Hui Gao, Zhong-Xiuzi Liu, Yong Liu, Dong-Wei Liu, Zhang-Suo Wu, Peng |
author_sort | Mao, Zi-Hui |
collection | PubMed |
description | The kidney is a complex organ comprising various functional partitions and special cell types that play important roles in maintaining homeostasis in the body. Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease and is an independent risk factor for cardiovascular diseases. Owing to the complexity and heterogeneity of kidney structure and function, the mechanism of DKD development has not been fully elucidated. Single-cell sequencing, including transcriptomics, epigenetics, metabolomics, and proteomics etc., is a powerful technology that enables the analysis of specific cell types and states, specifically expressed genes or pathways, cell differentiation trajectories, intercellular communication, and regulation or co-expression of genes in various diseases. Compared with other omics, RNA sequencing is a more developed technique with higher utilization of tissues or samples. This article reviewed the application of single-cell transcriptomics in the field of DKD and highlighted the key signaling pathways in specific tissues or cell types involved in the occurrence and development of DKD. The comprehensive understanding of single-cell transcriptomics through single-cell RNA-seq and single-nucleus RNA-seq will provide us new insights into the pathogenesis and treatment strategy of various diseases including DKD. |
format | Online Article Text |
id | pubmed-9846140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98461402023-01-19 Single-cell transcriptomics: A new tool for studying diabetic kidney disease Mao, Zi-Hui Gao, Zhong-Xiuzi Liu, Yong Liu, Dong-Wei Liu, Zhang-Suo Wu, Peng Front Physiol Physiology The kidney is a complex organ comprising various functional partitions and special cell types that play important roles in maintaining homeostasis in the body. Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease and is an independent risk factor for cardiovascular diseases. Owing to the complexity and heterogeneity of kidney structure and function, the mechanism of DKD development has not been fully elucidated. Single-cell sequencing, including transcriptomics, epigenetics, metabolomics, and proteomics etc., is a powerful technology that enables the analysis of specific cell types and states, specifically expressed genes or pathways, cell differentiation trajectories, intercellular communication, and regulation or co-expression of genes in various diseases. Compared with other omics, RNA sequencing is a more developed technique with higher utilization of tissues or samples. This article reviewed the application of single-cell transcriptomics in the field of DKD and highlighted the key signaling pathways in specific tissues or cell types involved in the occurrence and development of DKD. The comprehensive understanding of single-cell transcriptomics through single-cell RNA-seq and single-nucleus RNA-seq will provide us new insights into the pathogenesis and treatment strategy of various diseases including DKD. Frontiers Media S.A. 2023-01-04 /pmc/articles/PMC9846140/ /pubmed/36685214 http://dx.doi.org/10.3389/fphys.2022.1053850 Text en Copyright © 2023 Mao, Gao, Liu, Liu, Liu and Wu. 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 | Physiology Mao, Zi-Hui Gao, Zhong-Xiuzi Liu, Yong Liu, Dong-Wei Liu, Zhang-Suo Wu, Peng Single-cell transcriptomics: A new tool for studying diabetic kidney disease |
title | Single-cell transcriptomics: A new tool for studying diabetic kidney disease |
title_full | Single-cell transcriptomics: A new tool for studying diabetic kidney disease |
title_fullStr | Single-cell transcriptomics: A new tool for studying diabetic kidney disease |
title_full_unstemmed | Single-cell transcriptomics: A new tool for studying diabetic kidney disease |
title_short | Single-cell transcriptomics: A new tool for studying diabetic kidney disease |
title_sort | single-cell transcriptomics: a new tool for studying diabetic kidney disease |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846140/ https://www.ncbi.nlm.nih.gov/pubmed/36685214 http://dx.doi.org/10.3389/fphys.2022.1053850 |
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