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Series GSE156005 Query DataSets for GSE156005
Status Public on Sep 25, 2020
Title SARS-CoV-2 infection induces transcriptomic alterations specific to activation of innate immunity and cellular distress.
Organism Mesocricetus auratus
Experiment type Expression profiling by high throughput sequencing
Summary In the grips of the 2019-2020 SARS-CoV-2 pandemic, the pathogenisis of the virus has been shown to induce sharp responses from the immune system of infected hosts and can result in severe/fatal pulmonary distress. To understand how the virus can provoke such responses in infected hosts we infected golden hamsters with validated SARS-CoV-2 clinical isolates from 5 patients to understand the dynamic changes and functionality of induced gene expression.
 
Overall design An analysis of the transcriptomic landscape induced by SARS-CoV-2 infection in a suitable live model .Lung tissue from SARS-CoV-2 infected hamsters was extracted and total RNA was collected for sequencing.
Web link https://www.biorxiv.org/content/10.1101/2020.08.28.271635v1
 
Contributor(s) Mok BW, Cremin C, Chen H
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Aug 10, 2020
Last update date Jul 08, 2021
Contact name Honglin Chen
E-mail(s) hlchen@hku.hk
Organization name The University of Hong Kong
Department Department of Microbiology
Lab State Key Laboratory for Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine
Street address Rm 5-19, 5/F, Lab block, 21 Sassoon Road, Pokfulam
City Hong Kong
ZIP/Postal code 0000
Country Hong Kong
 
Platforms (1)
GPL28997 Illumina NovaSeq 6000 (Mesocricetus auratus)
Samples (16)
GSM4718852 HK-8-1
GSM4718853 HK-8-2
GSM4718854 HK-8-3
Relations
BioProject PRJNA656299
SRA SRP276957

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE156005_normalized.counts.csv.gz 1.4 Mb (ftp)(http) CSV
GSE156005_raw.counts.csv.gz 564.6 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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