Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

SHAE004: SARS-CoV, SARS-dORF6 and SARS-BatSRBD infection of HAE cultures.

ABSTRACT: HAE cultures were infected with SARS-CoV, SARS-dORF6 or SARS-BatSRBD and were directly compared to A/CA/04/2009 H1N1 influenza-infected cultures. Cell samples were collected at various hours post-infection for analysis. Time Points = 0, 12, 24, 36, 48, 60, 72, 84 and 96 hrs post-infection for SARS-CoV, SARS-dORF6 and SARS-BatSRBD. Time Points = 0, 6, 12, 18, 24, 36 and 48 hrs post-infection for H1N1. Done in triplicate for RNA Triplicates are defined as 3 different wells, plated at the same time and using the same cell stock for all replicates. Time matched mocks done in triplicate from same cell stock as rest of samples. Culture medium (the same as what the virus stock is in) will be used for the mock infections. Infection was done at an MOI of 2 for SARS viruses and an MOI of 1 for H1N1.

ORGANISM(S): Homo sapiens

SUBMITTER: Michael Katze

PROVIDER: E-GEOD-47962 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.

Mitchell Hugh D HD Eisfeld Amie J AJ Sims Amy C AC McDermott Jason E JE Matzke Melissa M MM Webb-Robertson Bobbi-Jo M BJ Tilton Susan C SC Tchitchek Nicolas N Josset Laurence L Li Chengjun C Ellis Amy L AL Chang Jean H JH Heegel Robert A RA Luna Maria L ML Schepmoes Athena A AA Shukla Anil K AK Metz Thomas O TO Neumann Gabriele G Benecke Arndt G AG Smith Richard D RD Baric Ralph S RS Kawaoka Yoshihiro Y Katze Michael G MG Waters Katrina M KM

PloS one 20130725 7

Respiratory infections stemming from influenza viruses and the Severe Acute Respiratory Syndrome corona virus (SARS-CoV) represent a serious public health threat as emerging pandemics. Despite efforts to identify the critical interactions of these viruses with host machinery, the key regulatory events that lead to disease pathology remain poorly targeted with therapeutics. Here we implement an integrated network interrogation approach, in which proteome and transcriptome datasets from infection ...[more]

PMID: 23935999

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Project description:Background: Type I interferons (IFNs) are essential to the clearance of viral diseases, in part by initiating upregulation of IFN regulated genes (IRGs). A clear distinction between genes upregulated directly by virus and genes upregulated by secondary IFN production has not been made. Here we investigated the genes regulated by IFN-a2b compared to the genes regulated by SARS-CoV infection in ferrets. Methods: We characterized early host immune responses in peripheral blood and lung necropsies of ferrets injected with IFN-a2b or infected with SARS-CoV/Tor 2 strain, using microarray analysis on the Affymetrix platform. Results: We identified a common IRG signature that was upregulated in both SARS-CoV infected ferrets as well as in ferrets injected with IFN-a2b. We also identified unique patterns of gene expression for leukocyte activation, cell adhesion and complement pathways between IFN-a2b injection and SARS-CoV infection. Conclusions: Our results define the effects of IFN-a2b on the immune system of ferrets highlighting genes regulated by IFN during SARS-CoV infection. We have shown the similarities and differences of top funcional gene groups as well as pathways that play key roles in early immune responses in ferrets in response to IFN-a2b or SARS-CoV. Key words: ferret, gene expression, SARS, interferon. Keywords: time course In experiments with IFN-a2b, for peripheral blood, 15 ferrets were randomly allocated to 3 groups: Day 0, 5 ferrets (no IFN injection), day 1, 6 ferrets (injected), and day 2, 4 ferrets (injected). For lung necropsies of injected ferrets with IFN-a2b, we used 12 ferrets in 3 groups: 4 ferrets, day 0 (no IFN injection), 4 ferrets, day 1 (injected) and 4 ferrets, day 2 (injected). Experimental groups for SARS-CoV infection was as follows: For peripheral blood, 3 and 4 ferrets for day 0 (no infection) and day 2 (infection) respectively. For lung neceropsies, a total of 9 ferrets in 3 groups, each with 3 replicates for day 0 (no infection), day 1 (infection) and day 2 (infection).

Dataset Information

SHAE004: SARS-CoV, SARS-dORF6 and SARS-BatSRBD infection of HAE cultures.

Publications

A network integration approach to predict conserved regulators related to pathogenicity of influenza and SARS-CoV respiratory viruses.

Similar Datasets

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