Dataset - Omics, Proteomics, Transcriptomics, Metabolomics, Lipidomics Omics-Lethal Human Viruses, MERS-CoV Experiment MMVE003

Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson

MERS-CoV Experiment MMVE002

The purpose of this experiment was to evaluate the human host response to wild-type MERS-CoV infectious clone (icMERS-CoV/EMC2012). Sample data was obtained from primary human microvascular endothelial cells for mRNA, 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 MERS-CoV virus infection.

Accessible Digital Data Downloads

Transcriptomics

1. Expression profiling by array (mRNA) 

Proteomics, Metabolomics, Lipidomics

1. Protein quantification by liquid chromatography mass spectrometry (LC-MS)
2. Metabolite quantification by gas chromatography mass spectrometry (GC-MS)
3. Lipid quantification by liquid chromatography mass spectrometry (LC-MS)

Reference Citation

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, MERS-CoV Experiment MMVE003. United States. 2021. PNNL DataHub (Web). DOI: 10.25584/LHVMMVE003/1661944

Linked Primary Data Accessions

NCBI BioProject: PRJNA391978

GEO Series: GSE100509 (mRNA transcriptome response)

MassIVE Accession(s):  MSV000081888 (proteome response), MSV000081044 (metabolome response), MSV000081894 (lipidome 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 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. 

Citation Policy

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.

Data Licensing

CC BY-SA 4.0 (secondary dataset download DOIs), CC0 1.0 (project metadata and PNNL DataHub policy default)