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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....

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Autores principales: Wiley, Christopher D., Flynn, James M., Morrissey, Christapher, Lebofsky, Ronald, Shuga, Joe, Dong, Xiao, Unger, Marc A., Vijg, Jan, Melov, Simon, Campisi, Judith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
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.
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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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