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U.S. Department of Energy
Office of Scientific and Technical Information

Omics-Lethal Human Viruses, Ebola Experiment EHUH003

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)

The purpose of this experiment was to evaluate the human host response to Zaire Ebola wild-type virus infection. Samples were obtained from human hepatoma carcinoma cells (HUH-7) infected with Zaire Ebola ΔVP30-WT background for mRNA and miRNA transcriptome 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. Transcriptomics dataset downloads have a direct relationship to a primary sample submission corresponding to a specific Ebola 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:
1661907
Report Number(s):
EHUH003; NCBI BioProject: PRJNA342156 (mRNA); NCBI BioProject: PRJNA342157 (miRNA); GEO Series: GSE86539 (mRNA); GEO Series: GSE86533 (miRNA)
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 Ebola Infection Post-Processed Data Package DOIs dataset January 2021