Systems Virology Lethal Human Virus, SARS-CoV Experiment SCL009

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Systems Virology Lethal Human Virus, SARS-CoV Experiment SCL009

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The purpose of this SARS experiment was to obtain samples for metabolome and lipidome analysis comparing wild type virus (icSARS) infected Human lung tissue 2B4 (Calu-3  clonal derivative) cells to mock infected cells.

Overall Design: Human lung tissue 2B4 cells (clonal derivatives of Calu-3 cells) were infected with icSARS CoV at an MOI of 5. Infected samples were plated at 1 x 10^6 cells/well, using five wells per time point including time-matched mocks in parallel (using the same medium as the virus stock infections). Both aqueous and organic phases were collected for analysis. Time points used were: 0, 24, 48, and 72 hrs post infection.

The positive and negative lipid datasets are statistically analyzed separately. 

Processed Omics Data (available at download button):

Dataset downloads contain one or more statistically processed data file related to a lipidomic, transcriptomic, metabolomic, and/or proteomic dataset collection associated with the SARS experimental study.




Related Experimental Data

PRIDE: PRD000594 (19877–19890)

People (3)

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...