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Series GSE123134 Query DataSets for GSE123134
Status Public on May 15, 2019
Title Linking cell dynamics with coexpression networks to characterize key events in chronic virus infections
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary The host immune response against an infection requires the coordinated action of many diverse cell subsets that dynamically adapt to the pathogen threat. Here we combined WGCNA and DCQ to analyse time-resolved mouse splenic transcriptomes in acute and chronic LCMV infections. This approach allowed to better characterize the dynamic cell events occurring in complex tissues such as the induction of the adaptive T cell response which requires the coordination of monocytes/macrophages and CD8+ T cells.
 
Overall design mRNA profiles of CD8 T cells and macrophages (in duplicate days 0 and 7 post-infection) from C57BL/6 mice infected with 2x10E2 pfu of LCMV strain Docile, generated by deep sequencing.
 
Contributor(s) Argilaguet J, Esteve-Codina A
Citation(s) 31130969
Submission date Nov 29, 2018
Last update date Jun 07, 2019
Contact name Anna Esteve-Codina
E-mail(s) anna.esteve@cnag.crg.eu
Organization name CNAG-CRG
Street address Carrer Baldiri Reixac 4-8
City Barcelona
ZIP/Postal code 08028
Country Spain
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (8)
GSM3496252 CD8CD44-d0-1
GSM3496253 CD8CD44-d0-2
GSM3496254 CD8CD44d7-3
Relations
BioProject PRJNA507617
SRA SRP171164

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
GSE123134_COUNTS_genes_ANDREAS_ext_1.txt.gz 882.1 Kb (ftp)(http) TXT
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Processed data are available on Series record

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