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The landscape of human tissue and cell type specific expression and co-regulation of senescence genes

BACKGROUND: Cellular senescence is a complex stress response that impacts cellular function and organismal health. Multiple developmental and environmental factors, such as intrinsic cellular cues, radiation, oxidative stress, oncogenes, and protein accumulation, activate genes and pathways that can...

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Autores principales: Xu, Peng, Wang, Minghui, Song, Won-min, Wang, Qian, Yuan, Guo-Cheng, Sudmant, Peter H., Zare, Habil, Tu, Zhidong, Orr, Miranda E., Zhang, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744330/
https://www.ncbi.nlm.nih.gov/pubmed/35000600
http://dx.doi.org/10.1186/s13024-021-00507-7
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author Xu, Peng
Wang, Minghui
Song, Won-min
Wang, Qian
Yuan, Guo-Cheng
Sudmant, Peter H.
Zare, Habil
Tu, Zhidong
Orr, Miranda E.
Zhang, Bin
author_facet Xu, Peng
Wang, Minghui
Song, Won-min
Wang, Qian
Yuan, Guo-Cheng
Sudmant, Peter H.
Zare, Habil
Tu, Zhidong
Orr, Miranda E.
Zhang, Bin
author_sort Xu, Peng
collection PubMed
description BACKGROUND: Cellular senescence is a complex stress response that impacts cellular function and organismal health. Multiple developmental and environmental factors, such as intrinsic cellular cues, radiation, oxidative stress, oncogenes, and protein accumulation, activate genes and pathways that can lead to senescence. Enormous efforts have been made to identify and characterize senescence genes (SnGs) in stress and disease systems. However, the prevalence of senescent cells in healthy human tissues and the global SnG expression signature in different cell types are poorly understood. METHODS: This study performed an integrative gene network analysis of bulk and single-cell RNA-seq data in non-diseased human tissues to investigate SnG co-expression signatures and their cell-type specificity. RESULTS: Through a comprehensive transcriptomic network analysis of 50 human tissues in the Genotype-Tissue Expression Project (GTEx) cohort, we identified SnG-enriched gene modules, characterized SnG co-expression patterns, and constructed aggregated SnG networks across primary tissues of the human body. Our network approaches identified 51 SnGs highly conserved across the human tissues, including CDKN1A (p21)-centered regulators that control cell cycle progression and the senescence-associated secretory phenotype (SASP). The SnG-enriched modules showed remarkable cell-type specificity, especially in fibroblasts, endothelial cells, and immune cells. Further analyses of single-cell RNA-seq and spatial transcriptomic data independently validated the cell-type specific SnG signatures predicted by the network analysis. CONCLUSIONS: This study systematically revealed the co-regulated organizations and cell type specificity of SnGs in major human tissues, which can serve as a blueprint for future studies to map senescent cells and their cellular interactions in human tissues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13024-021-00507-7.
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spelling pubmed-87443302022-01-11 The landscape of human tissue and cell type specific expression and co-regulation of senescence genes Xu, Peng Wang, Minghui Song, Won-min Wang, Qian Yuan, Guo-Cheng Sudmant, Peter H. Zare, Habil Tu, Zhidong Orr, Miranda E. Zhang, Bin Mol Neurodegener Research Article BACKGROUND: Cellular senescence is a complex stress response that impacts cellular function and organismal health. Multiple developmental and environmental factors, such as intrinsic cellular cues, radiation, oxidative stress, oncogenes, and protein accumulation, activate genes and pathways that can lead to senescence. Enormous efforts have been made to identify and characterize senescence genes (SnGs) in stress and disease systems. However, the prevalence of senescent cells in healthy human tissues and the global SnG expression signature in different cell types are poorly understood. METHODS: This study performed an integrative gene network analysis of bulk and single-cell RNA-seq data in non-diseased human tissues to investigate SnG co-expression signatures and their cell-type specificity. RESULTS: Through a comprehensive transcriptomic network analysis of 50 human tissues in the Genotype-Tissue Expression Project (GTEx) cohort, we identified SnG-enriched gene modules, characterized SnG co-expression patterns, and constructed aggregated SnG networks across primary tissues of the human body. Our network approaches identified 51 SnGs highly conserved across the human tissues, including CDKN1A (p21)-centered regulators that control cell cycle progression and the senescence-associated secretory phenotype (SASP). The SnG-enriched modules showed remarkable cell-type specificity, especially in fibroblasts, endothelial cells, and immune cells. Further analyses of single-cell RNA-seq and spatial transcriptomic data independently validated the cell-type specific SnG signatures predicted by the network analysis. CONCLUSIONS: This study systematically revealed the co-regulated organizations and cell type specificity of SnGs in major human tissues, which can serve as a blueprint for future studies to map senescent cells and their cellular interactions in human tissues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13024-021-00507-7. BioMed Central 2022-01-09 /pmc/articles/PMC8744330/ /pubmed/35000600 http://dx.doi.org/10.1186/s13024-021-00507-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Xu, Peng
Wang, Minghui
Song, Won-min
Wang, Qian
Yuan, Guo-Cheng
Sudmant, Peter H.
Zare, Habil
Tu, Zhidong
Orr, Miranda E.
Zhang, Bin
The landscape of human tissue and cell type specific expression and co-regulation of senescence genes
title The landscape of human tissue and cell type specific expression and co-regulation of senescence genes
title_full The landscape of human tissue and cell type specific expression and co-regulation of senescence genes
title_fullStr The landscape of human tissue and cell type specific expression and co-regulation of senescence genes
title_full_unstemmed The landscape of human tissue and cell type specific expression and co-regulation of senescence genes
title_short The landscape of human tissue and cell type specific expression and co-regulation of senescence genes
title_sort landscape of human tissue and cell type specific expression and co-regulation of senescence genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744330/
https://www.ncbi.nlm.nih.gov/pubmed/35000600
http://dx.doi.org/10.1186/s13024-021-00507-7
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