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Analysis of individual cells identifies cell‐to‐cell variability following induction of cellular senescence
Senescent cells play important roles in both physiological and pathological processes, including cancer and aging. In all cases, however, senescent cells comprise only a small fraction of tissues. Senescent phenotypes have been studied largely in relatively homogeneous populations of cultured cells....
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595671/ https://www.ncbi.nlm.nih.gov/pubmed/28699239 http://dx.doi.org/10.1111/acel.12632 |
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author | Wiley, Christopher D. Flynn, James M. Morrissey, Christapher Lebofsky, Ronald Shuga, Joe Dong, Xiao Unger, Marc A. Vijg, Jan Melov, Simon Campisi, Judith |
author_facet | Wiley, Christopher D. Flynn, James M. Morrissey, Christapher Lebofsky, Ronald Shuga, Joe Dong, Xiao Unger, Marc A. Vijg, Jan Melov, Simon Campisi, Judith |
author_sort | Wiley, Christopher D. |
collection | PubMed |
description | Senescent cells play important roles in both physiological and pathological processes, including cancer and aging. In all cases, however, senescent cells comprise only a small fraction of tissues. Senescent phenotypes have been studied largely in relatively homogeneous populations of cultured cells. In vivo, senescent cells are generally identified by a small number of markers, but whether and how these markers vary among individual cells is unknown. We therefore utilized a combination of single‐cell isolation and a nanofluidic PCR platform to determine the contributions of individual cells to the overall gene expression profile of senescent human fibroblast populations. Individual senescent cells were surprisingly heterogeneous in their gene expression signatures. This cell‐to‐cell variability resulted in a loss of correlation among the expression of several senescence‐associated genes. Many genes encoding senescence‐associated secretory phenotype (SASP) factors, a major contributor to the effects of senescent cells in vivo, showed marked variability with a subset of highly induced genes accounting for the increases observed at the population level. Inflammatory genes in clustered genomic loci showed a greater correlation with senescence compared to nonclustered loci, suggesting that these genes are coregulated by genomic location. Together, these data offer new insights into how genes are regulated in senescent cells and suggest that single markers are inadequate to identify senescent cells in vivo. |
format | Online Article Text |
id | pubmed-5595671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55956712017-10-01 Analysis of individual cells identifies cell‐to‐cell variability following induction of cellular senescence Wiley, Christopher D. Flynn, James M. Morrissey, Christapher Lebofsky, Ronald Shuga, Joe Dong, Xiao Unger, Marc A. Vijg, Jan Melov, Simon Campisi, Judith Aging Cell Original Articles Senescent cells play important roles in both physiological and pathological processes, including cancer and aging. In all cases, however, senescent cells comprise only a small fraction of tissues. Senescent phenotypes have been studied largely in relatively homogeneous populations of cultured cells. In vivo, senescent cells are generally identified by a small number of markers, but whether and how these markers vary among individual cells is unknown. We therefore utilized a combination of single‐cell isolation and a nanofluidic PCR platform to determine the contributions of individual cells to the overall gene expression profile of senescent human fibroblast populations. Individual senescent cells were surprisingly heterogeneous in their gene expression signatures. This cell‐to‐cell variability resulted in a loss of correlation among the expression of several senescence‐associated genes. Many genes encoding senescence‐associated secretory phenotype (SASP) factors, a major contributor to the effects of senescent cells in vivo, showed marked variability with a subset of highly induced genes accounting for the increases observed at the population level. Inflammatory genes in clustered genomic loci showed a greater correlation with senescence compared to nonclustered loci, suggesting that these genes are coregulated by genomic location. Together, these data offer new insights into how genes are regulated in senescent cells and suggest that single markers are inadequate to identify senescent cells in vivo. John Wiley and Sons Inc. 2017-07-11 2017-10 /pmc/articles/PMC5595671/ /pubmed/28699239 http://dx.doi.org/10.1111/acel.12632 Text en © 2017 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Wiley, Christopher D. Flynn, James M. Morrissey, Christapher Lebofsky, Ronald Shuga, Joe Dong, Xiao Unger, Marc A. Vijg, Jan Melov, Simon Campisi, Judith Analysis of individual cells identifies cell‐to‐cell variability following induction of cellular senescence |
title | Analysis of individual cells identifies cell‐to‐cell variability following induction of cellular senescence |
title_full | Analysis of individual cells identifies cell‐to‐cell variability following induction of cellular senescence |
title_fullStr | Analysis of individual cells identifies cell‐to‐cell variability following induction of cellular senescence |
title_full_unstemmed | Analysis of individual cells identifies cell‐to‐cell variability following induction of cellular senescence |
title_short | Analysis of individual cells identifies cell‐to‐cell variability following induction of cellular senescence |
title_sort | analysis of individual cells identifies cell‐to‐cell variability following induction of cellular senescence |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595671/ https://www.ncbi.nlm.nih.gov/pubmed/28699239 http://dx.doi.org/10.1111/acel.12632 |
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