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Multi-omics data integration reveals the complexity and diversity of host factors associated with influenza virus infection

Influenza viruses pose a significant and ongoing threat to human health. Many host factors have been identified to be associated with influenza virus infection. However, there is currently a lack of an integrated resource for these host factors. This study integrated human genes and proteins associa...

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Autores principales: Zhu, Zhaozhong, You, Ruina, Li, Huiru, Feng, Shuidong, Ma, Huan, Tuo, Chaohao, Meng, Xiangxian, Feng, Song, Peng, Yousong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569165/
https://www.ncbi.nlm.nih.gov/pubmed/37842064
http://dx.doi.org/10.7717/peerj.16194
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author Zhu, Zhaozhong
You, Ruina
Li, Huiru
Feng, Shuidong
Ma, Huan
Tuo, Chaohao
Meng, Xiangxian
Feng, Song
Peng, Yousong
author_facet Zhu, Zhaozhong
You, Ruina
Li, Huiru
Feng, Shuidong
Ma, Huan
Tuo, Chaohao
Meng, Xiangxian
Feng, Song
Peng, Yousong
author_sort Zhu, Zhaozhong
collection PubMed
description Influenza viruses pose a significant and ongoing threat to human health. Many host factors have been identified to be associated with influenza virus infection. However, there is currently a lack of an integrated resource for these host factors. This study integrated human genes and proteins associated with influenza virus infections for 14 subtypes of influenza A viruses, as well as influenza B and C viruses, and built a database named H2Flu to store and organize these genes or proteins. The database includes 28,639 differentially expressed genes (DEGs), 1,850 differentially expressed proteins, and 442 proteins with differential posttranslational modifications after influenza virus infection, as well as 3,040 human proteins that interact with influenza virus proteins and 57 human susceptibility genes. Further analysis showed that the dynamic response of human cells to virus infection, cell type and strain specificity contribute significantly to the diversity of DEGs. Additionally, large heterogeneity was also observed in protein-protein interactions between humans and different types or subtypes of influenza viruses. Overall, the study deepens our understanding of the diversity and complexity of interactions between influenza viruses and humans, and provides a valuable resource for further studies on such interactions.
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spelling pubmed-105691652023-10-13 Multi-omics data integration reveals the complexity and diversity of host factors associated with influenza virus infection Zhu, Zhaozhong You, Ruina Li, Huiru Feng, Shuidong Ma, Huan Tuo, Chaohao Meng, Xiangxian Feng, Song Peng, Yousong PeerJ Bioinformatics Influenza viruses pose a significant and ongoing threat to human health. Many host factors have been identified to be associated with influenza virus infection. However, there is currently a lack of an integrated resource for these host factors. This study integrated human genes and proteins associated with influenza virus infections for 14 subtypes of influenza A viruses, as well as influenza B and C viruses, and built a database named H2Flu to store and organize these genes or proteins. The database includes 28,639 differentially expressed genes (DEGs), 1,850 differentially expressed proteins, and 442 proteins with differential posttranslational modifications after influenza virus infection, as well as 3,040 human proteins that interact with influenza virus proteins and 57 human susceptibility genes. Further analysis showed that the dynamic response of human cells to virus infection, cell type and strain specificity contribute significantly to the diversity of DEGs. Additionally, large heterogeneity was also observed in protein-protein interactions between humans and different types or subtypes of influenza viruses. Overall, the study deepens our understanding of the diversity and complexity of interactions between influenza viruses and humans, and provides a valuable resource for further studies on such interactions. PeerJ Inc. 2023-10-09 /pmc/articles/PMC10569165/ /pubmed/37842064 http://dx.doi.org/10.7717/peerj.16194 Text en ©2023 Zhu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Zhu, Zhaozhong
You, Ruina
Li, Huiru
Feng, Shuidong
Ma, Huan
Tuo, Chaohao
Meng, Xiangxian
Feng, Song
Peng, Yousong
Multi-omics data integration reveals the complexity and diversity of host factors associated with influenza virus infection
title Multi-omics data integration reveals the complexity and diversity of host factors associated with influenza virus infection
title_full Multi-omics data integration reveals the complexity and diversity of host factors associated with influenza virus infection
title_fullStr Multi-omics data integration reveals the complexity and diversity of host factors associated with influenza virus infection
title_full_unstemmed Multi-omics data integration reveals the complexity and diversity of host factors associated with influenza virus infection
title_short Multi-omics data integration reveals the complexity and diversity of host factors associated with influenza virus infection
title_sort multi-omics data integration reveals the complexity and diversity of host factors associated with influenza virus infection
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569165/
https://www.ncbi.nlm.nih.gov/pubmed/37842064
http://dx.doi.org/10.7717/peerj.16194
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