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Identification of stable senescence‐associated reference genes
Cellular senescence is a state of permanent cell cycle arrest activated in response to damaging stimuli. Many hallmarks associated with senescent cells are measured by quantitative real‐time PCR (qPCR). As the selection of stable reference genes for interpretation of qPCR data is often overlooked, w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413663/ https://www.ncbi.nlm.nih.gov/pubmed/30710410 http://dx.doi.org/10.1111/acel.12911 |
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author | Hernandez‐Segura, Alejandra Rubingh, Richard Demaria, Marco |
author_facet | Hernandez‐Segura, Alejandra Rubingh, Richard Demaria, Marco |
author_sort | Hernandez‐Segura, Alejandra |
collection | PubMed |
description | Cellular senescence is a state of permanent cell cycle arrest activated in response to damaging stimuli. Many hallmarks associated with senescent cells are measured by quantitative real‐time PCR (qPCR). As the selection of stable reference genes for interpretation of qPCR data is often overlooked, we performed a systematic review to understand normalization strategies entailed in experiments involving senescent cells. We found that, in violation of the Minimum Information for publication of qPCR Experiments (MIQE) guidelines, most reports used only one reference gene to normalize qPCR data, and that stability of the reference genes was either not tested or not reported. To identify new and more stable reference genes in senescent fibroblasts, we analyzed the Shapiro–Wilk normality test and the coefficient of variation per gene using in public RNAseq datasets. We then compared the new reference gene candidates with commonly used ones by using both RNAseq and qPCR data. Finally, we defined the best reference genes to be used universally or in a strain‐dependent manner. This study intends to raise awareness of the instability of classical reference genes in senescent cells and to serve as a first attempt to define guidelines for the selection of more reliable normalization methods. |
format | Online Article Text |
id | pubmed-6413663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64136632019-04-01 Identification of stable senescence‐associated reference genes Hernandez‐Segura, Alejandra Rubingh, Richard Demaria, Marco Aging Cell Short Take Cellular senescence is a state of permanent cell cycle arrest activated in response to damaging stimuli. Many hallmarks associated with senescent cells are measured by quantitative real‐time PCR (qPCR). As the selection of stable reference genes for interpretation of qPCR data is often overlooked, we performed a systematic review to understand normalization strategies entailed in experiments involving senescent cells. We found that, in violation of the Minimum Information for publication of qPCR Experiments (MIQE) guidelines, most reports used only one reference gene to normalize qPCR data, and that stability of the reference genes was either not tested or not reported. To identify new and more stable reference genes in senescent fibroblasts, we analyzed the Shapiro–Wilk normality test and the coefficient of variation per gene using in public RNAseq datasets. We then compared the new reference gene candidates with commonly used ones by using both RNAseq and qPCR data. Finally, we defined the best reference genes to be used universally or in a strain‐dependent manner. This study intends to raise awareness of the instability of classical reference genes in senescent cells and to serve as a first attempt to define guidelines for the selection of more reliable normalization methods. John Wiley and Sons Inc. 2019-02-01 2019-04 /pmc/articles/PMC6413663/ /pubmed/30710410 http://dx.doi.org/10.1111/acel.12911 Text en © 2019 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 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 | Short Take Hernandez‐Segura, Alejandra Rubingh, Richard Demaria, Marco Identification of stable senescence‐associated reference genes |
title | Identification of stable senescence‐associated reference genes |
title_full | Identification of stable senescence‐associated reference genes |
title_fullStr | Identification of stable senescence‐associated reference genes |
title_full_unstemmed | Identification of stable senescence‐associated reference genes |
title_short | Identification of stable senescence‐associated reference genes |
title_sort | identification of stable senescence‐associated reference genes |
topic | Short Take |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413663/ https://www.ncbi.nlm.nih.gov/pubmed/30710410 http://dx.doi.org/10.1111/acel.12911 |
work_keys_str_mv | AT hernandezseguraalejandra identificationofstablesenescenceassociatedreferencegenes AT rubinghrichard identificationofstablesenescenceassociatedreferencegenes AT demariamarco identificationofstablesenescenceassociatedreferencegenes |