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GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases
BACKGROUND: Although many diseases have been well characterized at the molecular level, the underlying mechanisms are often unknown. Nearly half of all human genes remain poorly studied, yet these genes may contribute to a number of disease processes. Genes involved in common biological processes an...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3495651/ https://www.ncbi.nlm.nih.gov/pubmed/23039964 http://dx.doi.org/10.1186/1471-2164-13-535 |
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author | van Dam, Sipko Cordeiro, Rui Craig, Thomas van Dam, Jesse Wood, Shona H de Magalhães, João Pedro |
author_facet | van Dam, Sipko Cordeiro, Rui Craig, Thomas van Dam, Jesse Wood, Shona H de Magalhães, João Pedro |
author_sort | van Dam, Sipko |
collection | PubMed |
description | BACKGROUND: Although many diseases have been well characterized at the molecular level, the underlying mechanisms are often unknown. Nearly half of all human genes remain poorly studied, yet these genes may contribute to a number of disease processes. Genes involved in common biological processes and diseases are often co-expressed. Using known disease-associated genes in a co-expression analysis may help identify and prioritize novel candidate genes for further study. RESULTS: We have created an online tool, called GeneFriends, which identifies co-expressed genes in over 1,000 mouse microarray datasets. GeneFriends can be used to assign putative functions to poorly studied genes. Using a seed list of disease-associated genes and a guilt-by-association method, GeneFriends allows users to quickly identify novel genes and transcription factors associated with a disease or process. We tested GeneFriends using seed lists for aging, cancer, and mitochondrial complex I disease. We identified several candidate genes that have previously been predicted as relevant targets. Some of the genes identified are already being tested in clinical trials, indicating the effectiveness of this approach. Co-expressed transcription factors were investigated, identifying C/ebp genes as candidate regulators of aging. Furthermore, several novel candidate genes, that may be suitable for experimental or clinical follow-up, were identified. Two of the novel candidates of unknown function that were co-expressed with cancer-associated genes were selected for experimental validation. Knock-down of their human homologs (C1ORF112 and C12ORF48) in HeLa cells slowed growth, indicating that these genes of unknown function, identified by GeneFriends, may be involved in cancer. CONCLUSIONS: GeneFriends is a resource for biologists to identify and prioritize novel candidate genes involved in biological processes and complex diseases. It is an intuitive online resource that will help drive experimentation. GeneFriends is available online at: http://genefriends.org/. |
format | Online Article Text |
id | pubmed-3495651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34956512012-11-19 GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases van Dam, Sipko Cordeiro, Rui Craig, Thomas van Dam, Jesse Wood, Shona H de Magalhães, João Pedro BMC Genomics Research Article BACKGROUND: Although many diseases have been well characterized at the molecular level, the underlying mechanisms are often unknown. Nearly half of all human genes remain poorly studied, yet these genes may contribute to a number of disease processes. Genes involved in common biological processes and diseases are often co-expressed. Using known disease-associated genes in a co-expression analysis may help identify and prioritize novel candidate genes for further study. RESULTS: We have created an online tool, called GeneFriends, which identifies co-expressed genes in over 1,000 mouse microarray datasets. GeneFriends can be used to assign putative functions to poorly studied genes. Using a seed list of disease-associated genes and a guilt-by-association method, GeneFriends allows users to quickly identify novel genes and transcription factors associated with a disease or process. We tested GeneFriends using seed lists for aging, cancer, and mitochondrial complex I disease. We identified several candidate genes that have previously been predicted as relevant targets. Some of the genes identified are already being tested in clinical trials, indicating the effectiveness of this approach. Co-expressed transcription factors were investigated, identifying C/ebp genes as candidate regulators of aging. Furthermore, several novel candidate genes, that may be suitable for experimental or clinical follow-up, were identified. Two of the novel candidates of unknown function that were co-expressed with cancer-associated genes were selected for experimental validation. Knock-down of their human homologs (C1ORF112 and C12ORF48) in HeLa cells slowed growth, indicating that these genes of unknown function, identified by GeneFriends, may be involved in cancer. CONCLUSIONS: GeneFriends is a resource for biologists to identify and prioritize novel candidate genes involved in biological processes and complex diseases. It is an intuitive online resource that will help drive experimentation. GeneFriends is available online at: http://genefriends.org/. BioMed Central 2012-10-06 /pmc/articles/PMC3495651/ /pubmed/23039964 http://dx.doi.org/10.1186/1471-2164-13-535 Text en Copyright ©2012 van Dam et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article van Dam, Sipko Cordeiro, Rui Craig, Thomas van Dam, Jesse Wood, Shona H de Magalhães, João Pedro GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases |
title | GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases |
title_full | GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases |
title_fullStr | GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases |
title_full_unstemmed | GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases |
title_short | GeneFriends: An online co-expression analysis tool to identify novel gene targets for aging and complex diseases |
title_sort | genefriends: an online co-expression analysis tool to identify novel gene targets for aging and complex diseases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3495651/ https://www.ncbi.nlm.nih.gov/pubmed/23039964 http://dx.doi.org/10.1186/1471-2164-13-535 |
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