Systems Virology Lethal Human Virus, SARS-CoV Experiment SM001

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Description

Omics Lethal Human Virus, SARS-CoV Experiment SM001

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The purpose of this experiment was to evaluate the human host response to Severe Acute Respiratory Syndrome coronavirus (SARS-CoV) wild-type virus. Sample data was obtained for 20 week-old C57BL/6J mouse lung tissue infected with different intranasal instillation doses of SARS CoV MA15 for transcriptomics and proteomics experimental measurements. Infected samples were collected with 3 time-matched mocks in parallel and harvested across 4 different collection days post infection. Sample collection time points: 1, 2, 4 and 7 days post-infection (4-5 biological replicates, per time point, per dose).

 

SARS-CoV Experimental Species:

  1. Mouse-adapted SARS-CoV (MA15)

Experimental Host:

 

Processed Omics Data (available at download button):

Dataset downloads contain one or more statistically processed data files related to a transcriptomic, proteomic, metabolomic, and/or lipidomic dataset collection associated with a Severe Acute Respiratory Syndrome coronavirus (SARS-CoV) experimental study. 

 

Transcriptomics

  • Expression profiling by array (mRNA)

Proteomics

  • Protein quantification by liquid chromatography mass spectrometry (LC-MS)

 

Related Experimental Data

This work is a contribution of the "Systems Biology for Infectious Diseases Research Program" Project (Contract HHSN272200800060C | NIH, NIAID)

BioProject:  PRJNA149057

GEO Accession: GSE33266 (transcriptome response)

Array Platform: GPL4134

PRIDE AccessionPXD015553 (proteome response)

PeptideAtlas Accession: PASS00433

ViPR Experimental Metadata DOI:  10.35083/SYNF-Z480 (transcriptome), 10.35083/0DXW-4N36 (proteome)

Viral Provenance:  10.1371/journal.ppat.003000510.1128/mBio.00638-1510.1128/mBio.01753-18

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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. Jason McDermott, senior research scientist, has extensive research experience in molecular and structural virology and data resource design, data integration and prediction of biological networks, bridging experimental and computational biology. Currently, his research interests include data...

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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