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Series GSE99373 Query DataSets for GSE99373
Status Public on Jun 14, 2018
Title Transcriptomic profile of circulating memory CD4 T cells can differentiate between latent tuberculosis individuals and healthy controls
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Tuberculosis (TB) is responsible for the majority of mortality and morbidity associated with infectious diseases worldwide. The characterization of exact molecular components of immune response associated with protection against TB may help design more effective therapeutic interventions. In this study, we aimed to characterize the immune signature of memory T cells associated with latent infection with Mycobacterium tuberculosis. Transcriptomic profiling using RNA sequencing was performed on memory CD4 T cells isolated from individuals with latent tuberculosis, as well as from tuberculosis negative healthy controls. Overall, we found specific gene signatures in each cell subset that could successfully discriminate between individuals with latent tuberculosis and healthy controls.
 
Overall design RNA-sequencing of sorted memory CD4 T cells from cryopreserved PBMC of 20 subjects with latent tuberculosis infection and 19 tuberculosis negative healthy controls
 
Contributor(s) Burel J, Lindenstam C, Seumois G, Fu Z, Greenbaum J, Sette A, Peters B, Vijayanand P
Citation(s) 29602771, 31237234
Submission date May 26, 2017
Last update date Jul 01, 2019
Contact name Bjoern Peters
E-mail(s) bpeters@lji.org
Organization name La Jolla Institute for Immunology
Street address 9420 Athena Cir
City La Jolla
State/province California
ZIP/Postal code 92037
Country USA
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (39)
GSM2643136 TU0094_CD4_HC
GSM2643137 TU0110_CD4_HC
GSM2643138 XT0082_CD4_HC
Relations
BioProject PRJNA388214
SRA SRP108135

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
GSE99373_RawCounts_CD4.xlsx 4.2 Mb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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