Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human CD4+ T cell to identify differences between HIV-1 resistant and HIV-1 susceptible individuals

ABSTRACT: Understanding why some individual resist HIV-1 infection despite continued exposure is an important goal for vaccine development. We compared CD4+ T cell gene expression at baseline in HIV-1 resistant commercial sex-workers from Nairobi, Kenya to HIV-1 high-risk negative (non-resistant) commercial sex-workers using gene expression arrays Experiment Overall Design: CD4+ T cells from both HIV resistant and HIV low-risk negative individuals were isolated from PBMC after 24 hours of culture by negative selection. Total RNA was isolated and gene expression compared using Affymetrix total genome arrays.

ORGANISM(S): Homo sapiens

SUBMITTER: Paul McLaren

PROVIDER: E-GEOD-14278 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

HIV‐exposed seronegative commercial sex workers show a quiescent phenotype in the CD4+ T cell compartment and reduced expression of HIV‐dependent host factors.

McLaren Paul J PJ Ball T Blake TB Wachihi Charles C Jaoko Walter W Kelvin David J DJ Danesh Ali A Kimani Joshua J Plummer Francis A FA Fowke Keith R KR

The Journal of infectious diseases 20101101

Studies of human immunodeficiency virus (HIV)-exposed seronegative individuals are crucial to inform vaccine design. In the present study we demonstrated that HIV-exposed seronegative commercial sex workers produce lower levels of proinflammatory cytokines at baseline than HIV-negative control subjects. We also showed that CD4+ T cells of HIV-exposed seronegative commercial sex workers have a characteristically lower level of gene expression that can be seen in differentially expressed genes and ...[more]

PMID: 20887221

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Project description:BACKGROUND: Combination antiretroviral therapy (cART) is able to control HIV-1 viral replication, however long-lived latent infection in resting memory CD4+ T-cells persist. The mechanisms for establishment and maintenance of latent infection in resting memory CD4+ T-cells remain unclear. Previously we have shown that HIV-1 infection of resting CD4+ T-cells co-cultured with CD11c+ myeloid dendritic cells (mDC) produced a population of non-proliferating T-cells with latent infection. Here we asked whether different antigen presenting cells (APC), including subpopulations of DC and monocytes, were able to induce post-integration latent infection in resting CD4+ T-cells, and examined potential cell interactions that may be involved using RNA-seq. RESULTS: mDC (CD1c+), SLAN+ DC and CD14+ monocytes were most efficient in stimulating proliferation of CD4+ T-cells during syngeneic culture and in generating post-integration latent infection in non-proliferating CD4+ T-cells following HIV-1 infection of APC-T-cell co-cultures. In comparison, plasmacytoid DC (pDC) and B-cells did not induce latent infection in APC-T-cell co-cultures. We compared the RNA expression profiles of APC subpopulations that could and could not induce latency in non-proliferating CD4+ T-cells. Gene expression analysis, comparing the mDC, SLAN+ DC and CD14+ monocyte subpopulations to pDC identified 53 upregulated genes that encode proteins expressed on the plasma membrane that could signal to CD4+ T-cells via cell-cell interactions (32 genes), immune checkpoints (IC) (5 genes), T-cell activation (9 genes), regulation of apoptosis (5 genes), antigen presentation (1 gene) and through unknown ligands (1 gene). CONCLUSIONS: APC subpopulations from the myeloid lineage, specifically mDC subpopulations and CD14+ monocytes, were able to efficiently induce post-integration HIV-1 latency in non-proliferating CD4+ T-cells in vitro. Inhibition of key pathways involved in mDC-T-cell interactions and HIV-1 latency may provide novel targets to eliminate HIV latency. mRNA profiles of sorted, pure antigen presenting cells including, CD1c+ myleoid dendirtic cells (mDC), SLAN+ mDC, CD14+ monocytes and plasmacytoid DC (pDC), were generated using next generation sequencing in triplicate, using Illumina Illumina Hiseq 2000.

Dataset Information

Transcription profiling of human CD4+ T cell to identify differences between HIV-1 resistant and HIV-1 susceptible individuals

Publications

HIV‐exposed seronegative commercial sex workers show a quiescent phenotype in the CD4+ T cell compartment and reduced expression of HIV‐dependent host factors.

Similar Datasets

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