Omics Lethal Human Virus, Ebola Experiment EU937001

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Ebola Experiment EU937001

The purpose is to obtain samples for transcriptome analysis in in human U937 cells infected with Zaire Ebola virus wild-type in the ΔVP30 background and Δmucin virus.

Overall Design: Human U937 cells (monocyte-like) expressing the Ebola VP30 protein were infected with Zaire Ebola virus wild-type (wild) in the ΔVP30 background and Δmucin virus (encodes a GP lacking the mucin domain) (mucin) in the Ebola ΔVP30 background. Infected samples were collected in quintuplet; time-matched mocks were collected in quintuplet in parallel with infected samples. Time points used were: 0, 8, 18, and 30 hrs post-infection.

Processed Omics Data (available at download button):

Dataset downloads contain one or more statistically processed data file related to a lipidomic, transcriptomic, metabolomic, and/or proteomic dataset collection associated with the Ebola experimental study. 





Related Experimental Data

BioProject:  PRJNA320103PRJNA320102

GEO: GSE80832  (mRNA transcriptome response), GSE80833 (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, as a  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. 

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