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Microarray Analysis of Ageing-related Signatures and Their Expression in Tumors Based on a Computational Biology Approach
Ageing and cancer have been associated with genetic and genomic changes. The identification of common signatures between ageing and cancer can reveal shared molecular mechanisms underlying them. In this study, we collected ageing-related gene signatures from ten published studies involved in six dif...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3586943/ https://www.ncbi.nlm.nih.gov/pubmed/22917186 http://dx.doi.org/10.1016/j.gpb.2012.01.001 |
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author | Wang, Xiaosheng |
author_facet | Wang, Xiaosheng |
author_sort | Wang, Xiaosheng |
collection | PubMed |
description | Ageing and cancer have been associated with genetic and genomic changes. The identification of common signatures between ageing and cancer can reveal shared molecular mechanisms underlying them. In this study, we collected ageing-related gene signatures from ten published studies involved in six different human tissues and an online resource. We found that most of these gene signatures were tissue-specific and a few were related to multiple tissues. We performed a genome-wide examination of the expression of these signatures in various human tumor types, and found that a large proportion of these signatures were universally differentially expressed among normal vs. tumor phenotypes. Functional analyses of the highly-overlapping genes between ageing and cancer using DAVID tools have identified important functional categories and pathways linking ageing with cancer. The convergent and divergent mechanisms between ageing and cancer are discussed. This study provides insights into the biology of ageing and cancer, suggesting the possibility of potential interventions aimed at postponing ageing and preventing cancer. |
format | Online Article Text |
id | pubmed-3586943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-35869432013-03-04 Microarray Analysis of Ageing-related Signatures and Their Expression in Tumors Based on a Computational Biology Approach Wang, Xiaosheng Genomics Proteomics Bioinformatics Original Research Ageing and cancer have been associated with genetic and genomic changes. The identification of common signatures between ageing and cancer can reveal shared molecular mechanisms underlying them. In this study, we collected ageing-related gene signatures from ten published studies involved in six different human tissues and an online resource. We found that most of these gene signatures were tissue-specific and a few were related to multiple tissues. We performed a genome-wide examination of the expression of these signatures in various human tumor types, and found that a large proportion of these signatures were universally differentially expressed among normal vs. tumor phenotypes. Functional analyses of the highly-overlapping genes between ageing and cancer using DAVID tools have identified important functional categories and pathways linking ageing with cancer. The convergent and divergent mechanisms between ageing and cancer are discussed. This study provides insights into the biology of ageing and cancer, suggesting the possibility of potential interventions aimed at postponing ageing and preventing cancer. Elsevier 2012-06 2012-06-25 /pmc/articles/PMC3586943/ /pubmed/22917186 http://dx.doi.org/10.1016/j.gpb.2012.01.001 Text en © 2012 Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China. Published by Elsevier Ltd and Science Press. All rights reserved. http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/). |
spellingShingle | Original Research Wang, Xiaosheng Microarray Analysis of Ageing-related Signatures and Their Expression in Tumors Based on a Computational Biology Approach |
title | Microarray Analysis of Ageing-related Signatures and Their Expression in Tumors Based on a Computational Biology Approach |
title_full | Microarray Analysis of Ageing-related Signatures and Their Expression in Tumors Based on a Computational Biology Approach |
title_fullStr | Microarray Analysis of Ageing-related Signatures and Their Expression in Tumors Based on a Computational Biology Approach |
title_full_unstemmed | Microarray Analysis of Ageing-related Signatures and Their Expression in Tumors Based on a Computational Biology Approach |
title_short | Microarray Analysis of Ageing-related Signatures and Their Expression in Tumors Based on a Computational Biology Approach |
title_sort | microarray analysis of ageing-related signatures and their expression in tumors based on a computational biology approach |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3586943/ https://www.ncbi.nlm.nih.gov/pubmed/22917186 http://dx.doi.org/10.1016/j.gpb.2012.01.001 |
work_keys_str_mv | AT wangxiaosheng microarrayanalysisofageingrelatedsignaturesandtheirexpressionintumorsbasedonacomputationalbiologyapproach |