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Title: Omics-Lethal Human Viruses, Influenza A Experiment IM103

Abstract

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 and processed for mRNA, miRNA, proteomics, lipidomics, and metabolomics 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 download each have a direct relationship to a primary sample submission corresponding to a specific Influenza A virus infection.

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo
  1. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  2. Univ. of Wisconsin, Madison, WI (United States). School of Veterinary Medicine. Pathology Department
Publication Date:
Other Number(s):
IM103
NCBI BioProject: PRJNA292023 (mRNA, miRNA);GEO Series: GSE71759 (mRNA, miRNA);MassIVE: MSV000080027 (lipidome);MassIVE: MSV000079469 (proteome);MassIVE: MSV000079327 (metabolome)
DOE Contract Number:  
AC05-76RL01830
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Institute of Allergy and Infectious Diseases (NIAID)
Collaborations:
Modeling Host Responses to Understand Severe Human Virus Infections Program Project
Subject:
59 BASIC BIOLOGICAL SCIENCES
Keywords:
Virology [edam.topic:0781]; Immune Response [GO:0006955]; Mus musculus [NCBITAXON:10090]; Influenza A virus [NCBITAXON:11320]; Time Sampled Measurement Datasets [IAO:0000584]; Mass spectrometry data [edam.data:2536]; MassIVE dataset identifier [MS:1002487]; Gene expression profile data [edam.data:0928]; BioProject Accession Number [NCIT:C175890]; Omics [edam.topic:3391]; Multi-omics [edam.topic:4021]; data transformation [SIO:000594]; differential expression analysis [SWO:7000018]; Data Download [schema:DataDownload]
OSTI Identifier:
1661919
DOI:
https://doi.org/10.25584/LHVIM103/1661919

Citation Formats

Anderson, Lindsey N., Eisfeld, Amie J., and Waters, Katrina M. Omics-Lethal Human Viruses, Influenza A Experiment IM103. United States: N. p., 2021. Web. doi:10.25584/LHVIM103/1661919.
Anderson, Lindsey N., Eisfeld, Amie J., & Waters, Katrina M. Omics-Lethal Human Viruses, Influenza A Experiment IM103. United States. doi:https://doi.org/10.25584/LHVIM103/1661919
Anderson, Lindsey N., Eisfeld, Amie J., and Waters, Katrina M. 2021. "Omics-Lethal Human Viruses, Influenza A Experiment IM103". United States. doi:https://doi.org/10.25584/LHVIM103/1661919. https://www.osti.gov/servlets/purl/1661919. Pub date:Mon Jan 18 00:00:00 EST 2021
@article{osti_1661919,
title = {Omics-Lethal Human Viruses, Influenza A Experiment IM103},
author = {Anderson, Lindsey N. and Eisfeld, Amie J. and Waters, Katrina M.},
abstractNote = {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 and processed for mRNA, miRNA, proteomics, lipidomics, and metabolomics 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 download each have a direct relationship to a primary sample submission corresponding to a specific Influenza A virus infection.},
doi = {10.25584/LHVIM103/1661919},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {1}
}

Works referenced in this record:

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


    Works referencing / citing this record:

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