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Series GSE23879 Query DataSets for GSE23879
Status Public on Jan 01, 2011
Title Transcriptional profiling of CD4 T-cells in HIV-1 infected patients
Organism Homo sapiens
Experiment type Expression profiling by array
Summary HIV-1 elite controllers maintain undetectable levels of viral replication in the absence of antiretroviral therapy, but their underlying immunological and virological characteristics may vary. Here, we used a whole-genome transcriptional profiling approach to characterize gene expression signatures of CD4 T cells from an unselected cohort of elite controllers. In the majority of elite controllers, transcriptional profiles were similar to HAART-treated patients, while being different from HIV-1 negative persons. Yet, a smaller proportion of elite controllers showed an opposite gene expression pattern that was indistinguishable from HIV-1 negative persons, but different from HAART-treated individuals. Elite controllers with this gene expression signature had significantly higher CD4 T cell counts, smaller levels of HIV-1-specific CD8+ T cell responses and tended to have lower residual HIV-1 viremia as determined by ultra-sensitive single-digit PCR, but did not differ from other elite controllers in terms of HLA class I alleles, age or sex. Thus, these data identify a specific subgroup of elite controllers whose clinical, immunological and gene expression characteristics approximate those of HIV-1 negative persons.
 
Overall design PBMC from study persons were stained with monoclonal antibodies against CD3, CD4 and HLA-DR, and subsequently subjected to live sorting at 70 psi using an ARIA cell sorting device (Becton Dickinson) located in a specifically designated biosafety cabinet. Following mRNA extraction form the sorted cells (RNAeasy kit, Qiagen), whole genome transcriptional profiling was performed using WG-DASL microarrays (Illumina) according to standard protocols. We included an unselected cohort of elite controllers (n = 12) and two background populations of HIV-1 negative persons (n = 9) and HIV-1 infected persons effectively treated with HAART (n = 14). Four replicates were included in the study.
 
Contributor(s) Vigneault F, Woods M, Buzon M, Pereyra F, Toth I, Church G, Rosenberg ES, Martinez-Picado J, Telenti A, Yu XG, Lichterfeld M
Citation(s) 21177805
Submission date Aug 30, 2010
Last update date May 14, 2015
Contact name Matthew Woods
E-mail(s) mwoods3@partners.org
Organization name The Ragon Institute of MGH, MIT, and Harvard
Department Computational Biology Core
Street address 149 13th Street
City Charlestown
State/province MA
ZIP/Postal code 02129
Country USA
 
Platforms (1)
GPL8432 Illumina HumanRef-8 WG-DASL v3.0
Samples (40)
GSM588887 CD4 EC 01
GSM588888 CD4 EC 02
GSM588889 CD4 EC 03
Relations
BioProject PRJNA130609

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
GSE23879_RAW.tar 9.7 Mb (http)(custom) TAR
GSE23879_non-normalized.txt.gz 5.6 Mb (ftp)(http) TXT
Processed data included within Sample table

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