Comparing Host Module Activation Patterns and Temporal Dynamics in Infection by Influenza H1N1 Viruses.

Influenza H1N1 conserved and differential modules differential regulation functional network module discovery temporal dynamics transcriptional profile virus infection

Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2021
Historique:
received: 07 04 2021
accepted: 14 06 2021
entrez: 2 8 2021
pubmed: 3 8 2021
medline: 26 10 2021
Statut: epublish

Résumé

Influenza is a serious global health threat that shows varying pathogenicity among different virus strains. Understanding similarities and differences among activated functional pathways in the host responses can help elucidate therapeutic targets responsible for pathogenesis. To compare the types and timing of functional modules activated in host cells by four influenza viruses of varying pathogenicity, we developed a new DYNAmic MOdule (DYNAMO) method that addresses the need to compare functional module utilization over time. This integrative approach overlays whole genome time series expression data onto an immune-specific functional network, and extracts conserved modules exhibiting either different temporal patterns or overall transcriptional activity. We identified a common core response to influenza virus infection that is temporally shifted for different viruses. We also identified differentially regulated functional modules that reveal unique elements of responses to different virus strains. Our work highlights the usefulness of combining time series gene expression data with a functional interaction map to capture temporal dynamics of the same cellular pathways under different conditions. Our results help elucidate conservation of the immune response both globally and at a granular level, and provide mechanistic insight into the differences in the host response to infection by influenza strains of varying pathogenicity.

Identifiants

pubmed: 34335598
doi: 10.3389/fimmu.2021.691758
pmc: PMC8317020
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

691758

Subventions

Organisme : NIAID NIH HHS
ID : HHSN272201000054C
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI117873
Pays : United States

Informations de copyright

Copyright © 2021 Nudelman, Kudrin, Nudelman, Deshpande, Hartmann, Kleinstein, Myers, Sealfon and Zaslavsky.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Irina Nudelman (I)

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Division of General Internal Medicine, New York University Langone Medical Centre, New York, NY, United States.

Daniil Kudrin (D)

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

German Nudelman (G)

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Raamesh Deshpande (R)

Department of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, United States.

Boris M Hartmann (BM)

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Steven H Kleinstein (SH)

Department of Pathology, Yale University School of Medicine, New Haven, CT, United States.

Chad L Myers (CL)

Department of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, United States.
Program in Biomedical Informatics and Computational Biology, University of Minnesota - Twin Cities, Minneapolis, MN, United States.

Stuart C Sealfon (SC)

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Elena Zaslavsky (E)

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Center for Advanced Research on Diagnostic Assays (CARDA), Icahn School of Medicine at Mount Sinai, New York, NY, United States.

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