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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...

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Detalles Bibliográficos
Autores principales: van Dam, Sipko, Cordeiro, Rui, Craig, Thomas, van Dam, Jesse, Wood, Shona H, de Magalhães, João Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
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/.
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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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