Omics-Lethal Human Viruses, MERS-CoV Experiment MCL003

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

doi:10.25584/LHVMCL003/1661945

Title: Omics-Lethal Human Viruses, MERS-CoV Experiment MCL003

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Abstract

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, 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:: 2021-01-17

Other Number(s):: MCL003
MassIVE: MSV000079152 (proteome); MassIVE: MSV000080022 (metabolome); MassIVE: MSV000079154 (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:: 1661945

DOI:: https://doi.org/10.25584/LHVMCL003/1661945

Citation Formats


                    Anderson, Lindsey N., Eisfeld, Amie J., and Waters, Katrina M. Omics-Lethal Human Viruses, MERS-CoV Experiment MCL003.  United States: N. p., 2021. 
        Web.  doi:10.25584/LHVMCL003/1661945.

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                    Anderson, Lindsey N., Eisfeld, Amie J., & Waters, Katrina M. Omics-Lethal Human Viruses, MERS-CoV Experiment MCL003.  United States.  doi:https://doi.org/10.25584/LHVMCL003/1661945

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                    Anderson, Lindsey N., Eisfeld, Amie J., and Waters, Katrina M. 2021.  
"Omics-Lethal Human Viruses, MERS-CoV Experiment MCL003".  United States.  doi:https://doi.org/10.25584/LHVMCL003/1661945.  https://www.osti.gov/servlets/purl/1661945. Pub date:Sun Jan 17 23:00:00 EST 2021

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@article{osti_1661945,

  title        = {Omics-Lethal Human Viruses, MERS-CoV Experiment MCL003},

  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 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, 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/LHVMCL003/1661945},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2021},

  month        = {1}

}

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DOI: https://doi.org/10.25584/LHVMCL003/1661945

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