Transcriptomics,Multiomics

Dataset Information

4

Transcription profiling of human peripheral blood mononuclear cells infected with HIV-1


ABSTRACT: We used Affymetix HG Focus GeneChip to measure the expression levels of HIV seronegative and seropositive individuals in human PBMCs in vivo. GSM39104 -GSM39115 are HIV seronegative samples; GSM39116-GSM39137 are HIV seropositive but drug naive samples; GSM39138-GSM39147 are HIV seropositive samples used to test serostatus biomarker; GSM39148-GSM39170 are HIV seropositive individuals whose CD4 cells decrease over time; GSM39171-GSM39187 are HIV seropositive individuals whose CD4 cells increase over time; GSM39188-GSM39190 are HIV seropositive samples used to test CD4 cell increase/decrease over time.

OTHER RELATED OMICS DATASETS IN: PRJNA91445

INSTRUMENT(S): 418 [Affymetrix]

DISEASE(S): Hiv-1 Seropositive,Normal

SUBMITTER: Maryanne Vahey  

PROVIDER: E-GEOD-2171 | ArrayExpress | 2007-08-25

SECONDARY ACCESSION(S): GDS1449GSE2171PRJNA91445

REPOSITORIES: GEO, ArrayExpress

Dataset's files

Source:
Action DRS
E-GEOD-2171.README.txt Txt
E-GEOD-2171.eSet.r Other
E-GEOD-2171.idf.txt Idf
E-GEOD-2171.processed.1.zip Processed
E-GEOD-2171.raw.1.zip Raw
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Publications

Functional genomic relationships in HIV-1 disease revealed by gene-expression profiling of primary human peripheral blood mononuclear cells.

Ockenhouse Christian F CF   Bernstein Wendy B WB   Wang Zhining Z   Vahey Maryanne T MT  

The Journal of infectious diseases 20050513 12


<h4>Background</h4>An assessment of biomarkers from an analysis of human peripheral blood mononuclear cell gene-expression profiles was made, to acquire an understanding of transcriptional changes associated with human immunodeficiency virus type 1 (HIV-1) infection in vivo.<h4>Methods</h4>Supervised learning algorithms were used to create signature gene sets that could be used to distinguish seropositive from seronegative samples and delineate changes in disease status during the early stages o  ...[more]

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