Omics-Lethal Human Viruses, MERS-CoV Experiment MCL002

Anderson, Lindsey N.; Eisfeld, Amie J.; Waters, Katrina M.

doi:10.25584/LHVMCL002/1661933

Title: Omics-Lethal Human Viruses, MERS-CoV Experiment MCL002

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Abstract

The purpose of this experiment was to evaluate the human host response to wild-type Middle Eastern Respiratory Syndrome coronavirus (icMERS) and icMERS-CoV mutants icMERS-RFP, icMERS-DNSP16, and icMERS-d4B virus infection. Sample data was obtained from human bronchial epithelial cells (Calu-3 clone 2B4) 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.

Authors:

;

Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Pacific Northwest National Laboratory, Biological Sciences Division
Univ. of Wisconsin, Madison, WI (United States). School of Veterinary Medicine. Pathology Department
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Publication Date:: Mon Jan 18 04:00:00 UTC 2021

Other Number(s):: MCL002
MassIVE: MSV000080025 (proteome); MassIVE: MSV000080022 (metabolome); MassIVE: MSV000081045 (lipidome)

DOE Contract Number:: AC05-76RL01830

Research Org.:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Org.:: USDOE Office of Science (SC); National Institute of Allergy and Infectious Diseases (NIAID)

Collaborations:: Modeling Host Responses to Understand Severe Human Virus Infections Program Project

Subject:: 59 BASIC BIOLOGICAL SCIENCES; Data Download [schema:DataDownload]; Human virus [NCIT:C14317]; Immune Response [GO:0006955]; Mass spectrometry data [edam.data:2536]; MassIVE dataset identifier [MS:1002487]; Middle East respiratory syndrome-related coronavirus [NCBITAXON:1335626]; Multi-omics [edam.topic:4021]; Omics [edam.topic:3391]; Time Sampled Measurement Datasets [IAO:0000584]; Virology [edam.topic:0781]; data transformation [SIO:000594]; differential expression analysis [SWO:7000018]

OSTI Identifier:: 1661933

DOI:: https://doi.org/10.25584/LHVMCL002/1661933

Citation Formats


                    Anderson, Lindsey N., Eisfeld, Amie J., and Waters, Katrina M. Omics-Lethal Human Viruses, MERS-CoV Experiment MCL002.  United States: N. p., 2021. 
        Web.  doi:10.25584/LHVMCL002/1661933.

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                    Anderson, Lindsey N., Eisfeld, Amie J., & Waters, Katrina M. Omics-Lethal Human Viruses, MERS-CoV Experiment MCL002.  United States.  doi:https://doi.org/10.25584/LHVMCL002/1661933

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                    Anderson, Lindsey N., Eisfeld, Amie J., and Waters, Katrina M. 2021.  
"Omics-Lethal Human Viruses, MERS-CoV Experiment MCL002".  United States.  doi:https://doi.org/10.25584/LHVMCL002/1661933.  https://www.osti.gov/servlets/purl/1661933. Pub date:Mon Jan 18 04:00:00 UTC 2021

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@article{osti_1661933,

  title        = {Omics-Lethal Human Viruses, MERS-CoV Experiment MCL002},

  author       = {Anderson, Lindsey N. and Eisfeld, Amie J. and Waters, Katrina M.},

  abstractNote = {The purpose of this experiment was to evaluate the human host response to wild-type Middle Eastern Respiratory Syndrome coronavirus (icMERS) and icMERS-CoV mutants icMERS-RFP, icMERS-DNSP16, and icMERS-d4B virus infection. Sample data was obtained from human bronchial epithelial cells (Calu-3 clone 2B4) 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.},

  doi          = {10.25584/LHVMCL002/1661933},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jan 18 04:00:00 UTC 2021},

  month        = {Mon Jan 18 04:00:00 UTC 2021}

}

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DOI: https://doi.org/10.25584/LHVMCL002/1661933

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