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Prioritizing genes responsible for host resistance to influenza using network approaches
BACKGROUND: The genetic make-up of humans and other mammals (such as mice) affects their resistance to influenza virus infection. Considering the complexity and moral issues associated with experiments on human subjects, we have only acquired partial knowledge regarding the underlying molecular mech...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046670/ https://www.ncbi.nlm.nih.gov/pubmed/24261899 http://dx.doi.org/10.1186/1471-2164-14-816 |
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author | Bao, Suying Zhou, Xueya Zhang, Liangcai Zhou, Jie To, Kelvin Kai-Wang Wang, Binbin Wang, Liqiu Zhang, Xuegong Song, You-Qiang |
author_facet | Bao, Suying Zhou, Xueya Zhang, Liangcai Zhou, Jie To, Kelvin Kai-Wang Wang, Binbin Wang, Liqiu Zhang, Xuegong Song, You-Qiang |
author_sort | Bao, Suying |
collection | PubMed |
description | BACKGROUND: The genetic make-up of humans and other mammals (such as mice) affects their resistance to influenza virus infection. Considering the complexity and moral issues associated with experiments on human subjects, we have only acquired partial knowledge regarding the underlying molecular mechanisms. Although influenza resistance in inbred mice has been mapped to several quantitative trait loci (QTLs), which have greatly narrowed down the search for host resistance genes, only few underlying genes have been identified. RESULTS: To prioritize a list of promising candidates for future functional investigation, we applied network-based approaches to leverage the information of known resistance genes and the expression profiles contrasting susceptible and resistant mouse strains. The significance of top-ranked genes was supported by different lines of evidence from independent genetic associations, QTL studies, RNA interference (RNAi) screenings, and gene expression analysis. Further data mining on the prioritized genes revealed the functions of two pathways mediated by tumor necrosis factor (TNF): apoptosis and TNF receptor-2 signaling pathways. We suggested that the delicate balance between TNF’s pro-survival and apoptotic effects may affect hosts’ conditions after influenza virus infection. CONCLUSIONS: This study considerably cuts down the list of candidate genes responsible for host resistance to influenza and proposed novel pathways and mechanisms. Our study also demonstrated the efficacy of network-based methods in prioritizing genes for complex traits. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-14-816) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4046670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40466702014-06-06 Prioritizing genes responsible for host resistance to influenza using network approaches Bao, Suying Zhou, Xueya Zhang, Liangcai Zhou, Jie To, Kelvin Kai-Wang Wang, Binbin Wang, Liqiu Zhang, Xuegong Song, You-Qiang BMC Genomics Research Article BACKGROUND: The genetic make-up of humans and other mammals (such as mice) affects their resistance to influenza virus infection. Considering the complexity and moral issues associated with experiments on human subjects, we have only acquired partial knowledge regarding the underlying molecular mechanisms. Although influenza resistance in inbred mice has been mapped to several quantitative trait loci (QTLs), which have greatly narrowed down the search for host resistance genes, only few underlying genes have been identified. RESULTS: To prioritize a list of promising candidates for future functional investigation, we applied network-based approaches to leverage the information of known resistance genes and the expression profiles contrasting susceptible and resistant mouse strains. The significance of top-ranked genes was supported by different lines of evidence from independent genetic associations, QTL studies, RNA interference (RNAi) screenings, and gene expression analysis. Further data mining on the prioritized genes revealed the functions of two pathways mediated by tumor necrosis factor (TNF): apoptosis and TNF receptor-2 signaling pathways. We suggested that the delicate balance between TNF’s pro-survival and apoptotic effects may affect hosts’ conditions after influenza virus infection. CONCLUSIONS: This study considerably cuts down the list of candidate genes responsible for host resistance to influenza and proposed novel pathways and mechanisms. Our study also demonstrated the efficacy of network-based methods in prioritizing genes for complex traits. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-14-816) contains supplementary material, which is available to authorized users. BioMed Central 2013-11-21 /pmc/articles/PMC4046670/ /pubmed/24261899 http://dx.doi.org/10.1186/1471-2164-14-816 Text en © Bao et al.; licensee BioMed Central Ltd. 2013 This article is published under license to BioMed Central Ltd. 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 Bao, Suying Zhou, Xueya Zhang, Liangcai Zhou, Jie To, Kelvin Kai-Wang Wang, Binbin Wang, Liqiu Zhang, Xuegong Song, You-Qiang Prioritizing genes responsible for host resistance to influenza using network approaches |
title | Prioritizing genes responsible for host resistance to influenza using network approaches |
title_full | Prioritizing genes responsible for host resistance to influenza using network approaches |
title_fullStr | Prioritizing genes responsible for host resistance to influenza using network approaches |
title_full_unstemmed | Prioritizing genes responsible for host resistance to influenza using network approaches |
title_short | Prioritizing genes responsible for host resistance to influenza using network approaches |
title_sort | prioritizing genes responsible for host resistance to influenza using network approaches |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046670/ https://www.ncbi.nlm.nih.gov/pubmed/24261899 http://dx.doi.org/10.1186/1471-2164-14-816 |
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