Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson
Influenza A Virus Experiment ICL102
The purpose of this experiment was to evaluate the human host cellular response to wild-type Influenza A/Anhui/1/2013 (H7N9; "AH1-WT") virus and mutant viruses NS1-L103F/I106M ("AH1-F/M") and partially ferret-adapted ("AH1-691") infection. Sample data was obtained from human lung adenocarcinoma cells (Calu-3) and processed for mRNA, miRNA, proteomics, metabolomics, and lipidomics expression analysis.
Secondary host-associated viral dataset downloads contain one or more statistically processed (normalization data transformation) quantitative dataset collections resulting in qualitative expression analyses of primary host-pathogen experimental study designs. Leveraging unique high-resolution Omics capabilities for proteomics, metabolomics, lipidomics, and transcriptomics dataset downloads each have a direct relationship to a primary sample submission corresponding to a specific Influenza A virus infection.
Accessible Digital Data Downloads
- 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 gas chromatography mass spectrometry (GC-MS)
- Lipid quantification by liquid chromatography mass spectrometry (LC-MS)
Anderson, Lindsey N, Eisfeld, Amie J, Waters, Katrina M, and Modeling Host Responses to Understand Severe Human Virus Infections Program Project. Omics-Lethal Human Viruses, Influenza A Experiment ICL102. United States. 2021. PNNL DataHub (Web). DOI: 10.25584/LHVICL102/1661912
Linked Primary Data Accessions
NCBI BioProject: PRJNA284341
GEO Dataset Series: GSE69026 (mRNA transcriptome response), GSE69027 (miRNA transcriptome response)*
MassIVE Accession(s): MSV000079164 (proteome response), MSV000079386 (lipidome response), MSV000079156 (metabolome response)
*Raw measurement data has primary data publication PMID: 34051754
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.
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.
CC BY-SA 4.0 (secondary dataset download DOIs), CC0 1.0 (project metadata and PNNL DataHub policy default)