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Assessing the effects of aging on the renal endothelial cell landscape using single-cell RNA sequencing
Endothelial cells (ECs) with senescence-associated secretory phenotypes (SASP) have been identified as a key mechanism of aging that contributes to various age-related kidney diseases. In this study, we used single-cell RNA sequencing (scRNA-seq) to create a transcriptome atlas of murine renal ECs a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196692/ https://www.ncbi.nlm.nih.gov/pubmed/37214419 http://dx.doi.org/10.3389/fgene.2023.1175716 |
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author | Li, Mengke Wang, Dongliang Liu, Zhong Huang, Yanjing Zhang, Qikai Pan, Caineng Lin, Yuheng Sun, Li Zheng, Yingfeng |
author_facet | Li, Mengke Wang, Dongliang Liu, Zhong Huang, Yanjing Zhang, Qikai Pan, Caineng Lin, Yuheng Sun, Li Zheng, Yingfeng |
author_sort | Li, Mengke |
collection | PubMed |
description | Endothelial cells (ECs) with senescence-associated secretory phenotypes (SASP) have been identified as a key mechanism of aging that contributes to various age-related kidney diseases. In this study, we used single-cell RNA sequencing (scRNA-seq) to create a transcriptome atlas of murine renal ECs and identify transcriptomic changes that occur during aging. We identified seven different subtypes of renal ECs, with glomerular ECs and angiogenic ECs being the most affected by senescence. We confirmed our scRNA-seq findings by using double immunostaining for an EC marker (CD31) and markers of specialized EC phenotypes. Our analysis of the dynamics of capillary lineage development revealed a chronic state of inflammation and compromised glomerular function as prominent aging features. Additionally, we observed an elevated pro-inflammatory and pro-coagulant microenvironment in aged glomerular ECs, which may contribute to age-related glomerulosclerosis and renal fibrosis. Through intercellular communication analysis, we also identified changes in signaling involved in immune regulation that may contribute to a hostile microenvironment for renal homeostasis and function. Overall, our findings provide new insights into the mechanisms of aging in the renal endothelium and may pave the way for the discovery of diagnostic biomarkers and therapeutic interventions against age-related kidney diseases. |
format | Online Article Text |
id | pubmed-10196692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101966922023-05-20 Assessing the effects of aging on the renal endothelial cell landscape using single-cell RNA sequencing Li, Mengke Wang, Dongliang Liu, Zhong Huang, Yanjing Zhang, Qikai Pan, Caineng Lin, Yuheng Sun, Li Zheng, Yingfeng Front Genet Genetics Endothelial cells (ECs) with senescence-associated secretory phenotypes (SASP) have been identified as a key mechanism of aging that contributes to various age-related kidney diseases. In this study, we used single-cell RNA sequencing (scRNA-seq) to create a transcriptome atlas of murine renal ECs and identify transcriptomic changes that occur during aging. We identified seven different subtypes of renal ECs, with glomerular ECs and angiogenic ECs being the most affected by senescence. We confirmed our scRNA-seq findings by using double immunostaining for an EC marker (CD31) and markers of specialized EC phenotypes. Our analysis of the dynamics of capillary lineage development revealed a chronic state of inflammation and compromised glomerular function as prominent aging features. Additionally, we observed an elevated pro-inflammatory and pro-coagulant microenvironment in aged glomerular ECs, which may contribute to age-related glomerulosclerosis and renal fibrosis. Through intercellular communication analysis, we also identified changes in signaling involved in immune regulation that may contribute to a hostile microenvironment for renal homeostasis and function. Overall, our findings provide new insights into the mechanisms of aging in the renal endothelium and may pave the way for the discovery of diagnostic biomarkers and therapeutic interventions against age-related kidney diseases. Frontiers Media S.A. 2023-05-05 /pmc/articles/PMC10196692/ /pubmed/37214419 http://dx.doi.org/10.3389/fgene.2023.1175716 Text en Copyright © 2023 Li, Wang, Liu, Huang, Zhang, Pan, Lin, Sun and Zheng. 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 | Genetics Li, Mengke Wang, Dongliang Liu, Zhong Huang, Yanjing Zhang, Qikai Pan, Caineng Lin, Yuheng Sun, Li Zheng, Yingfeng Assessing the effects of aging on the renal endothelial cell landscape using single-cell RNA sequencing |
title | Assessing the effects of aging on the renal endothelial cell landscape using single-cell RNA sequencing |
title_full | Assessing the effects of aging on the renal endothelial cell landscape using single-cell RNA sequencing |
title_fullStr | Assessing the effects of aging on the renal endothelial cell landscape using single-cell RNA sequencing |
title_full_unstemmed | Assessing the effects of aging on the renal endothelial cell landscape using single-cell RNA sequencing |
title_short | Assessing the effects of aging on the renal endothelial cell landscape using single-cell RNA sequencing |
title_sort | assessing the effects of aging on the renal endothelial cell landscape using single-cell rna sequencing |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196692/ https://www.ncbi.nlm.nih.gov/pubmed/37214419 http://dx.doi.org/10.3389/fgene.2023.1175716 |
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