Omics-Lethal Human Viruses, Influenza A Experiment IM103

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Influenza A Experiment IM103

The purpose of this experiment was to evaluate the host response to wild-type Influenza A/Vietnam/1203/2004 (H5N1; "VN1203") virus infection and mock infection. Sample data was obtained for mouse lung tissue for mRNA, miRNA, proteomics, lipidomics, and metabolomics expression analysis. 

Accessible Multi-Omics Digital Data Downloads

Secondary host-associated viral dataset downloads contain one or more qualitative and/or quantitative statistically processed (normalization data transformation) expression analysis file(s) resulting from primary viral experimental study designs leveraging unique high-resolution Omics capabilities. Proteomic, metabolomic, lipidomic, and/or transcriptomics dataset downloads each have a direct relationship to a primary sample data submission corresponding to a specific Influenza A host infection.


  • Expression profiling by array (mRNA) 
  • Non-coding RNA profiling by array (miRNA)

Proteomics, Metabolomics, Lipidomics

  • Protein quantification by liquid chromatography mass spectrometry (LC-MS)
  • Metabolite quantification by liquid chromatography mass spectrometry (GC-MS)
  • Lipid quantification by liquid chromatography mass spectrometry (LC-MS)

Linked Primary Data Accessions

BioProject Accession:  PRJNA292023PRJNA292022PRJNA292712PRJNA294791

GEO Accession: GSE71759 (ArrayStar mRNA transcriptome response) | GSE71760 (ArrayStar miRNA transcriptome response), GSE72008 (AmbryGenetics mRNA transcriptome response) | GSE72365 (AmbryGenetics miRNA transcriptome response)

PRIDE AccessionPXD003506 (proteome response)

MassIVE Accession: MSV000080027 (lipidome response), MSV000079469 (proteome response), MSV000079327 (metabolome response)


Acknowledgment of Federal Funding

The data described here was funded in whole or in part by the National Institute of Allergy and Infectious Diseases, of the National Institutes of Health under award number U19AI106772 and is a contribution of the "Modeling Host Responses to Understand Severe Human Virus Infections" Project at Pacific Northwest National Laboratory. Data generated by the Omics-LHV Core for proteomics, metabolomics, and lipidomics analyses for were performed at Pacific Northwest National Laboratory in the Environmental Molecular Sciences Laboratory, a national scientific user facility sponsored by the Department of Energy’s (DOE) Office, operating under the Battelle Memorial Institute for the DOE under contract number DE-AC05-76RLO1830. 

Citation Policy

In efforts to enable discovery, reproducibility, and reuse of NIH-funded project dataset citations, we ask that all reuse of project data and metadata download materials acknowledge all primary and secondary dataset citations where applicable and direct corresponding journal articles (Grant U19AI106772) where allowable in accordance with best practices outlined by the FORCE11 Joint Declaration of Data Citation Principles in alignment with NIH acknowledgement requirements (NOT-OD-21-013).

Data Licensing

CC BY-SA 4.0 (secondary dataset download DOIs), CC0 1.0 (project metadata and PNNL DataHub policy default)

Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson


Projects (2)
Omics Lethal Human Viruses Project Profiling of the Host Response to Influenza A Virus Infection, Processed Experimental Dataset Catalog
NIAID Modeling Host Responses to Understand Severe Human Virus Infections, Multi-Omic Viral Dataset Catalog Collections
Publications (1)
Hypergraph models of biological networks to identify genes critical to pathogenic viral response
People (3)

Lindsey Anderson’s research has been dedicated to the identification and characterization of novel, targeted and non-targeted, functional metabolic interactions using a high-throughput systems biology and computational biology approach. Her expertise in functional metabolism and multidisciplinary...

Dr. Jason McDermott, senior research scientist, has extensive research experience in molecular and structural virology and data resource design, data integration and prediction of biological networks, bridging experimental and computational biology. Currently, his research interests include data...

Dr. Katrina Waters is the division director for Biological Sciences at the Pacific Northwest National Laboratory. Waters has a Ph.D. in biochemistry and more than 15 years of experience in microarray and proteomics data analysis. Her research interests are focused on the integration of genomics...

Data Sources (4)
Methods (1)
Institutions (3)
Software (1)