Omics-Lethal Human Viruses, MERS-CoV Experiment MCL003

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Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson

MERS-CoV Experiment MCL003

The purpose of this experiment was to evaluate the human host response to wild-type infectious clone of Middle Eastern Respiratory Syndrome coronavirus (icMERS-CoV) infection and mockulum. Sample data was obtained from human lung adenocarcinoma cells (Calu-3) for proteome, metabolome, and lipidome 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, and lipidomics dataset download each have a direct relationship to a primary sample submission corresponding to a specific MERS-CoV virus infection.

Accessible Digital Data Downloads

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)

Data Download Reference Citations

  1. 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 MCL003. United States. 2021. PNNL DataHub (Web). DOI: 10.25584/LHVMCL003/1661945
  2. Eisfeld, A.J., Anderson, L.N., Fan, S. et al. A compendium of multi-omics data illuminating host responses to lethal human virus infections. Sci Data 11, 328 (2024).

Linked Primary Data Accessions

MassIVE Accession(s): MSV000079152 (proteome response), MSV000080022 (metabolome response), MSV000079154 (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 4.0 (dataset DOI downloads), CC0 1.0 (PNNL DataHub policy default)

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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. 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...

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Methods (1)
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