MERS-CoV Experiment MCL003
The purpose of this experiment was to evaluate the human host response to wild-type icMERS-CoV virus infection and mockulum. Sample data was obtained from human lung adenocarcinoma cells (Calu-3) for proteome, metabolome, and lipidome expression analysis. Resulting quantitative data profiles were evaluated for extreme outlier behavior using MPLEX protocol.
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 each dataset download has a direct relationship to a primary sample submission corresponding to a specific MERS-CoV virus infection.
Accessible Secondary Digital Data Downloads
Proteomics, Metabolomics, Lipidomics
- Protein quantification by liquid chromatography mass spectrometry (LC-MS)
- Metabolite quantification by gas chromatography mass spectrometry (GC-MS)
- Lipid quantification by liquid chromatography mass spectrometry (LC-MS)
Linked Primary Data Accessions
MassIVE: MSV000079152 (proteome response), MSV000080022 (metabolome response), MSV000079154 (lipidome response)
*Raw measurement data has primary data publication PMID: 27822525
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.
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 (NOT-OD-21-013).
CC BY-SA 4.0 (secondary dataset download DOIs), CC0 1.0 (project metadata and PNNL DataHub policy default)
Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson