Omics-Lethal Human Virus, Influenza A

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Principal Investigator


Omics-LHV Profiling of Host Response to Influenza A Virus Infection

The OMICS-LHV project aimed to develop a comprehensive understanding of the host response to unique viruses that cause lethal infections in humans by using a systems biology approach, assembling a multidisciplinary team of researchers with expertise in virology, host genetics, advanced high throughput technologies, computational modeling, and data management.

Overarching approach:

  1. Taking global measurements of changes in different host molecules in cells or tissues infected with Influenza A virus
  2. Applied computational analysis and various modeling technique for making predictions about what was controlling the host infection response
  3. Testing predictions to refine viral Influenza models

The knowledge gained from this work is expected to provide a strong foundation for understanding the host response to lethal human virus pathogens, and could facilitate the development of improved strategies for intervening with lethal virus disease.

Experimental Factors

Virus Subtypes

  • Strain: Influenza A virus (A/California/04/2009(H1N1)) wild-type | Genotype: H1N1
  • Strain: Influenza A virus (A/Viet Nam/1203/2004(H5N1)) wild-type | Genotype: H5N1, VN1203 | Mutants: PB2-K627E, NS1-Trunc124, NS1-trunc125
  • Strain:Influenza A virus (A/Anhui/1/2013(H7N9)) wild-type | Genotype: H7N9, AH1 | Mutants: NS1-L103F/I106M (ferret passaged virus), AH1-691 (ferret adapted virus)

Host Organisms

Processed Viral Data

Dataset downloads contain one or more statistically processed data files related to a transcriptomic, proteomic, metabolomic, and/or lipidomic dataset collection associated with an Influenza A virus experimental study. 


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. 

Cite as: Anderson, Lindsey N, McDermott, Jason E, Waters, Katrina M, & Eisfeld, Amie. 2021. "PNNL DataHub Project Omics-LHV Profiling of Host Response to Influenza Infection Post-Processed Data Package DOIs". United States. doi: 10.25584/LHVFLU/1773428. url:

Project status

Datasets (9)
Publications (2)
People (2)

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...

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