Omics-Lethal Human Viruses, MERS-CoV Experiment MM001

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

doi:10.25584/LHVMM001/1661941

Title: Omics-Lethal Human Viruses, MERS-CoV Experiment MM001

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Abstract

The purpose of this experiment was to evaluate the host response to wild-type Middle Eastern Respiratory Syndrome coronavirus (MERS-CoV) virus infection. Sample data was obtained from primary mouse lung for mRNA, proteomics, lipidomics, and metabolomics 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.

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:: 2021-01-18

Other Number(s):: MM001
NCBI BioProject: PRJNA427769; GEO Series: GSE108594 (mRNA); MassIVE: MSV000083536 (lipidome); MassIVE: MSV000083537 (metabolome); MassIVE: MSV000083532 (proteome)

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; BioProject Accession Number [NCIT:C175890]; Data Download [schema:DataDownload]; Gene expression profile data [edam.data:0928]; 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]; Mus musculus [NCBITAXON:10090]; 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:: 1661941

DOI:: https://doi.org/10.25584/LHVMM001/1661941

Citation Formats


                    Anderson, Lindsey N., Eisfeld, Amie J., and Waters, Katrina M. Omics-Lethal Human Viruses, MERS-CoV Experiment MM001.  United States: N. p., 2021. 
        Web.  doi:10.25584/LHVMM001/1661941.

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                    Anderson, Lindsey N., Eisfeld, Amie J., & Waters, Katrina M. Omics-Lethal Human Viruses, MERS-CoV Experiment MM001.  United States.  doi:https://doi.org/10.25584/LHVMM001/1661941

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                    Anderson, Lindsey N., Eisfeld, Amie J., and Waters, Katrina M. 2021.  
"Omics-Lethal Human Viruses, MERS-CoV Experiment MM001".  United States.  doi:https://doi.org/10.25584/LHVMM001/1661941.  https://www.osti.gov/servlets/purl/1661941. Pub date:Mon Jan 18 04:00:00 UTC 2021

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@article{osti_1661941,

  title        = {Omics-Lethal Human Viruses, MERS-CoV Experiment MM001},

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

  abstractNote = {The purpose of this experiment was to evaluate the host response to wild-type Middle Eastern Respiratory Syndrome coronavirus (MERS-CoV) virus infection. Sample data was obtained from primary mouse lung for mRNA, proteomics, lipidomics, and metabolomics 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.},

  doi          = {10.25584/LHVMM001/1661941},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2021},

  month        = {1}

}

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DOI: https://doi.org/10.25584/LHVMM001/1661941

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