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Omics-Lethal Human Viruses, Influenza A Experiment ICL103

Dataset ·
 [1];  [2];  [3]
  1. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Pacific Northwest National Laboratory, Biological Sciences Division
  2. Univ. of Wisconsin, Madison, WI (United States). School of Veterinary Medicine. Pathology Department
  3. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
+ Show Author Affiliations

The purpose of this experiment was to evaluate the human host response to Influenza A wild-type (H5N1) virus and mutant viruses. Sample data was obtained for human lung adenocarcinoma cell line (Calu-3) infected with WT Influenza A/Vietnam/1203/2004 (H5N1, VN1203) and mutant viruses PB2-K627E and NS1-trunc124 for mRNA, miRNA, proteomics, lipidomics, and metabolomics data 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 download each have a direct relationship to a primary sample submission corresponding to a specific Influenza A virus infection.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Science (SC); National Institute of Allergy and Infectious Diseases (NIAID)
Contributing Organization:
Modeling Host Responses to Understand Severe Human Virus Infections Program Project
DOE Contract Number:
AC05-76RL01830
OSTI ID:
1661913
Report Number(s):
ICL103; NCBI BioProject: PRJNA308121; GEO Series: GSE76599 (mRNA); GEO Series: GSE76600 (miRNA); MassIVE: MSV000079459 (proteome); MassIVE: MSV000079460 (metabolome); MassIVE: MSV000080023 (lipidome)
Availability:
rc-support@pnnl.gov
Country of Publication:
United States
Language:
English

References (1)

Hypergraph models of biological networks to identify genes critical to pathogenic viral response journal May 2021

Cited By (1)

PNNL DataHub Project Omics-LHV Profiling of Host Response to Influenza Infection Post-Processed Data Package DOIs dataset January 2021

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Related Subjects

59 BASIC BIOLOGICAL SCIENCES
BioProject Accession Number [NCIT:C175890]
Data Download [schema:DataDownload]
Gene expression profile data [edam.data:0928]
Human virus [NCIT:C14317]
Immune Response [GO:0006955]
Influenza A virus [NCBITAXON:11320]
Mass spectrometry data [edam.data:2536]
MassIVE dataset identifier [MS:1002487]
Multi-omics [edam.topic:4021]
Omics [edam.topic:3391]
Time Sampled Measurement Datasets [IAO:0000584]
Virology [edam.topic:0781]
data transformation [SIO:000594]
differential expression analysis [SWO:7000018]