Identification of Influenza AH7N9 Virus Infection-Related Human Genes Based on Shortest Paths in a Virus-Human Protein Interaction Network
Joint Authors
Huang, Tao
Jiang, Min
Cai, Yu-Dong
Zhang, Ning
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The recently emerging Influenza A/H7N9 virus is reported to be able to infect humans and cause mortality.
However, viral and host factors associated with the infection are poorly understood.
It is suggested by the “guilt by association” rule that interacting proteins share the same or similar functions and hence may be involved in the same pathway.
In this study, we developed a computational method to identify Influenza A/H7N9 virus infection-related human genes based on this rule from the shortest paths in a virus-human protein interaction network.
Finally, we screened out the most significant 20 human genes, which could be the potential infection related genes, providing guidelines for further experimental validation.
Analysis of the 20 genes showed that they were enriched in protein binding, saccharide or polysaccharide metabolism related pathways and oxidative phosphorylation pathways.
We also compared the results with those from human rhinovirus (HRV) and respiratory syncytial virus (RSV) by the same method.
It was indicated that saccharide or polysaccharide metabolism related pathways might be especially associated with the H7N9 infection.
These results could shed some light on the understanding of the virus infection mechanism, providing basis for future experimental biology studies and for the development of effective strategies for H7N9 clinical therapies.
American Psychological Association (APA)
Zhang, Ning& Jiang, Min& Huang, Tao& Cai, Yu-Dong. 2014. Identification of Influenza AH7N9 Virus Infection-Related Human Genes Based on Shortest Paths in a Virus-Human Protein Interaction Network. BioMed Research International،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-456462
Modern Language Association (MLA)
Zhang, Ning…[et al.]. Identification of Influenza AH7N9 Virus Infection-Related Human Genes Based on Shortest Paths in a Virus-Human Protein Interaction Network. BioMed Research International No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-456462
American Medical Association (AMA)
Zhang, Ning& Jiang, Min& Huang, Tao& Cai, Yu-Dong. Identification of Influenza AH7N9 Virus Infection-Related Human Genes Based on Shortest Paths in a Virus-Human Protein Interaction Network. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-456462
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456462