Omics-Lethal Human Virus, Influenza A Experiment IM101

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Description

Influenza A Experiment IM101

The purpose of this experiment was to evaluate the Mus musculus host response to Influenza A wild-type (A/Vietnam/1203/2004; H5N1 | A/California/04/2009; H1N1) virus and H5N1 mutant virus (PB2-627E, NS1trunc124) infection. Sample data was obtained for mouse lung transcriptome data analysis. 

Processed Omics Data (available at download button):

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. 

Transcriptomics

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

 

Linked Primary Data Accessions

BioProject:  PRJNA287214PRJNA287215

GEO: GSE69945 (mRNA transcriptome response), GSE69944 (miRNA transcriptome 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. 

English
Projects (2)
Omics-Lethal Human Virus, Influenza A
NIAID Modeling Host Responses to Understand Severe Human Virus Infections Research Program Processed Data
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...