Molecular reprogramming of primary human resting memory CD4+ T cells by HIV-1 Vpr
Ontology highlight
ABSTRACT:
INSTRUMENT(S): NextSeq 500
ORGANISM(S): Homo sapiens
SUBMITTER: Clare Jolly
PROVIDER: E-MTAB-11454 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Technological advances in genomics, epigenomics, transcriptomics and proteomics have enabled massively parallel measurements across thousands of genes and gene products. Such high-throughput technologies have been extensively used to carry out genome-wide studies particularly in the context of diseases. Nevertheless, a unified analysis of the genome, epigenome, transcriptome, and proteome of a single mammalian cell type to obtain a coherent view of the complex interplay between omes has not yet been undertaken. Here, we report the first multi-omic analysis of human primary naïve CD4+ T cells, revealing hundreds of unannotated mRNA transcripts, miRNAs, pseudogenes, and noncoding RNAs. Additionally, we carried out a comparative analysis of naïve CD4+ T cells with primary resting memory CD4+ T cells, which have provided novel insights into T cell biology. Overall, our data will serve as a baseline reference of a single pure population of cells for future systems level analysis of other defined cell populations.
2015-11-12 | PXD000376 | Pride
Project description:Latently infected resting CD4+ T cells are a major barrier to HIV cure. Understanding how latency is established, maintained and reversed is critical to identifying novel strategies to eliminate latently infected cells. We demonstrate here that co-culture of resting CD4+ T cells and syngeneic myeloid dendritic cells (mDC) can dramatically increase the frequency of HIV DNA integration and latent HIV infection in non-proliferating memory, but not naïve, CD4+ T cells. Gene expression in non-proliferating CD4+ T cells, enriched for latent infection, showed significant changes in the expression of genes involved in cellular activation and interferon regulated pathways, including the down-regulation of genes controlling both NF-κB and cell cycle. We conclude that mDC play a key role in the establishment of HIV latency in resting memory CD4+ T cells, which is predominantly mediated through signalling during DC-T cell contact. Resting (CD69-CD25-HLA-DR-) CD4+ T cells were enriched from the blood of 4 normal donors by magnetic bead depletion and labelled with the proliferation dye SNARF. SNARFhiEGFP- CD4+ T cells cultured with (+DC) or without syngeneic bulk DC (lin-HLA-DR+), in the presence (HIV T) or absence (Mock T) of HIV, were sorted 5 days following infection with NL(AD8)-nef/EGFP (MOI 5).Culture media was supplemented with 10ng/mL of IL-7. The gene expression profile of the 4 cell populations: 1. HIV T (+DC); 2. Mock T (+DC); 3. HIV T; and 4. Mock T, was determined.
2014-11-01 | E-GEOD-52344 | biostudies-arrayexpress
Project description:Elite Long-Term Nonprogressors are asymptomatic HIV-infected individuals who display long-term virtually undetectable viremia, stable CD4 T cell counts and extremeley low levels of HIV reservoir, in the absence of antiretroviral therapy. We conducted a whole-genome transcriptional profiling study of sorted resting CD4 T cell subsets (naive, central memory, transitional memory and effector memory) in 7 Elite Long-Term Nonprogressors, 7 HIV-infected viremic and 7 uninfected individuals. HIV-1 cellular DNA levels were quantified in each sorted CD4 T cell subset
2015-01-10 | E-MTAB-1480 | biostudies-arrayexpress
Project description:CD8+ and CD4+ T cells from HIV infected patients with HIV-RNA viremia of >50 copies/ml and CD8+ and CD4+ T cells from healthy controls were isolated by negative selection (Miltenyi Biotech, Auburn, CA). Cell sorting of the CD4 and CD8 T cell subsets were performed based on surface staining of CD3+CD8+ or CD3+CD4+ and na ve CD45RA+CD27+CD127highHLA-DRlow, and CD3+CD8+ or CD3+CD4+ and memory CD45RA-CD27+CD127highHLA-DRlow. Sorted cell populations were spun down and stored as dry pellets at -80M-BM-0C. Samples analyzed by transcript levels of genes related to cytokine signaling were determined by the JAK/STAT Signaling Pathway microarray. CD8+ and CD4+ T cells from HIV infected patients with HIV-RNA viremia of >50 copies/ml and CD8+ and CD4+ T cells from healthy controls were isolated by negative selection (Miltenyi Biotech, Auburn, CA). Cell sorting of the CD4 and CD8 T cell subsets were performed based on surface staining of CD3+CD8+ or CD3+CD4+ and naM-CM-/ve CD45RA+CD27+CD127highHLA-DRlow, and CD3+CD8+ or CD3+CD4+ and memory CD45RA-CD27+CD127highHLA-DRlow. Sorted cell populations were spun down and stored as dry pellets at -80M-BM-0C. Samples analyzed by transcript levels of genes related to cytokine signaling were determined by the JAK/STAT Signaling Pathway microarray (http://www.sabiosciences.com/rt_pcr_product/HTML/PAHS-039A.html, SABiosciences Frederick, MD). Briefly, total RNA was harvested from each individual T cell subset from each patient or healthy control and contaminating DNA was digested with DNase. Messenger RNA was converted to cDNA and loaded onto PCR array plates for quantitative real-time PCR. Quantification of transcript levels was determined by normalizing to 5 housekeeping genes from each individual sample. Relative gene expression levels for each subset were averaged and compared between cell populations from the patient group and healthy controls. Because of the multiple comparisons only p values M-bM-^IM-$ 0.01 were considered significant.
2010-12-28 | E-GEOD-25456 | biostudies-arrayexpress
Project description:Host directed therapies against HIV-1 are thought to be critical for long term containment of the HIV-1 pandemic but remain elusive. Since HIV-1 infects and manipulates important effectors of both the innate and adaptive immune system, identifying modulations of the host cell systems in humans during HIV-1 infection may be crucial for the development of immune based therapies. Here, we quantified the changes of the proteome in human CD4+ T cells upon HIV-1 infection, both in vitro and in vivo. A SWATH-MS approach was used to measure the proteome of human primary CD4+ T cells infected with HIV-1 in vitro as well as CD4+ T cells from HIV-1 infected patients with paired samples on and off antiretroviral treatment. In the in vitro experiment, the proteome of CD4+ T cells was quantified over a time course following HIV-1 infection. 1,725 host cell proteins and 4 HIV-1 proteins were quantified, with 145 proteins changing significantly during the time course. Changes in the proteome peaked 24 hours after infection, concomitantly with significant HIV-1 protein production. In the in vivo branch of the study, CD4+ T cells from viremic patients and those with no detectable viral load after treatment were sorted and the proteomes quantified. We consistently detected 895 proteins, 172 of which were considered to be significantly different between viraemic patients and patients undergoing successful treatment. The proteome of in vitro infected CD4+ T cells was modulated on multiple functional levels, including TLR-4 signalling and the type 1 interferon signalling pathway. Perturbations in the type 1 interferon signalling pathway were recapitulated in CD4+ T cells from patients. The study shows that proteome maps generated by SWATH-MS indicate a range of functionally significant changes in the proteome of HIV infected human CD4+ T cells. Exploring these perturbations in more detail may help identify new targets for immune based interventions.
2017-02-28 | PXD005234 | Pride
Project description:Suppressive HAART does not eradicate HIV-1 and viral DNA persists as a stably integrated form in the absence of viral particle production. As a consequence, latent reservoirs are refractory to antiretroviral drugs and invisible to immune surveillance. The largest latent reservoir consists of resting memory CD4+ T cells. These cells can resume viral infection when activated through antigen recognition, causing bursts of viremia (blips). Current therapies targeting latent HIV-1 have focused primarily on the M-bM-^@M-^\shock and killM-bM-^@M-^] approach, which employs M-bM-^@M-^\anti-latencyM-bM-^@M-^] drugs M-bM-^@M-^S most notably histone deacetylase (HDAC) inhibitors M-bM-^@M-^S to reactivate and flush latent provirus from its cellular reservoirs in the absence of global T cell activation. This approach is predicated on the notions that viral reactivation will lead to the demise of the infected cell, and that HAART will prevent spreading of the infection. On the contrary, recent evidence indicates that latently infected CD4+ T cells of HIV-1 patients on HAART survive in vitro viral reactivation with the HDAC inhibitor, SAHA, even when co-cultured with autologous CD8+ cytotoxic T lymphocytes (CTL). Moreover, it remains to be addressed the impact of anti-latency drugs on viral reservoirs undergoing low-level ongoing replication, inherently more resistant to the cytopathic effects of HIV-1 and residing in anatomical sites hard to reach for some antiretroviral drugs (e.g. macrophages). As a consequence, there is a need to develop alternative therapeutic approaches aimed at eliminating or decreasing the latent reservoir. Progress in that direction has been hindered by the lack of biomarkers uniquely or differentially expressed on latently infected compared to their uninfected counterparts. To gain insight into the cellular mechanisms that take place in the context of latency, and with the goal of identifying distinctive markers that distinguish latently infected CD4+ T cells, we have used an in vitro model developed in our laboratory to study the expression profile of latently infected CD4+ T cells by microarray analysis. We have used a culture system, previously established in our laboratory, to generate and isolate quiescent latently infected CD4+ T cells in vitro. In this in vitro HIV-1 latency model, CD4+ T cells are activated, infected with full length, replication competent HIV-1, and then returned to quiescence in the presence of IL-7, yielding a culture of quiescent latently infected and uninfected cells. We showed that HIV-1 p24gag expressed during viral replication persists in the cytoplasm of latently infected cells for several days before being degraded. Therefore, we exploited the presence of cytoplasmic p24gag to sort latently infected from uninfected cells by FACS from the same initial cell culture. Total RNA was isolated from sorted latently infected and uninfected cells generated from CD4+ T cells of four different donors. Paired RNA samples from infected and uninfected cells were labeled with Cy3 and Cy5 to allow dual-color competitive hybridization. Moreover, to control for the dye bias in our experiments, we implemented a dye swap protocol (reciprocal labeling) for paired RNA samples from 2 donors. Samples were analyzed by dual-color competitive hybridization on the Agilent whole human genome microarrays (41,000 unique probes). This is the first comparative genomic profiling of primary latently infected resting memory CD4+ T cells versus their uninfected counterparts sorted from the same culture. Microarray analyses performed in this study revealed profound differences between latently infected and uninfected cells. Of relevance are genes involved, not only in previously described pathways related with transcriptional and post-transcriptional regulation, but affecting proliferation, survival, cell cycle progression and cell metabolism. This could explain why latently infected cells have been resistant to reactivation with current anti-latency approaches. Thus, targeting of more downstream steps, such as the ones identified in this study, may be able to enhance viral flushing from refractory latent reservoirs. In addition, we identified a panel of surface makers differentially expressed in latently infected cells, which seem worth investigating for their potential use as biomarkers. Indeed, they might allow the enrichment of this latent reservoir for molecular in depth studies, for monitoring the size of the latent reservoir in the clinical setting, as well as for the development of new therapeutic strategies aimed at eradicating this reservoir.
2013-03-15 | E-GEOD-40550 | biostudies-arrayexpress
Project description:We assessed correlates of protection from disease progression in a rare subset of HIV-infected individuals, viremic non-progressors (VNPs). These individuals have high viral load for several years, but in contrast to the majority of infected individuals, they do not progress to AIDS. Here we found this lack of progression was associated with selective preservation of two essential subsets of memory CD4+ T cells, central memory (TCM) and stem-cell memory (TSCM) cells. Compared to HIV-infected putative progressors, VNPs had higher proliferation of these indispensable subsets of memory cells, which was associated with the number of TCM. In addition, the long-lived CD4+ TCM and TSCM cells in VNPs had decreased HIV infection compared to the less critical effector memory CD4+ T cells, which indicates a possible mechanism by which VNPs maintain their CD4+ T cell pool after several years of infection, and remain free from AIDS progression. 6 HIV-infected patients fitting the clinical criteria of Viremic Non-Progressors were identified. VNPs were defined as having confirmed HIV-1 infection for at least 9 years with sustained plasma HIV RNA levels >10,000 copies/ml and maintenance of peripheral blood CD4+ T cell counts >500 cells/mm3 and a CD4% (of all lymphocytes) >15%. As controls, 7 HIV-infected Putative Progressors were identified. PPs were defined as having plasma HIV RNA levels >10,000 copies/mL, CD4+ T cell counts >400 cells/mm3 and having been initially infected with HIV 2-24 months prior to the index visit. The estimated date of initial HIV infection was calculated according to published algorithms that incorporate âde-tunedâ anti-HIV-1 antibody ELISA results or by a documented sero-conversion window of <6 months. All participants were required to be antiretroviral therapy (ART)-naïve. RNA from 6 VNP and 7 PPs was purified from PAXgene whole blood tubes and hybridized to Affymetrix U133 Plus 2.0 arrays. During data analysis, one VNP patient (PID 4015) was determined to be an outlier and removed from further analysis. Thus, 5 VNPs and 7 PPs are represented in this Series.
2016-05-15 | E-GEOD-57730 | biostudies-arrayexpress
Project description:In this study, treatment-naive HIV, HCV mono-/co-infected individuals with CD4+ T cell counts >300/?l were recruited and their global gene expression profiles were investigated. By gene set enrichment analysis (GSEA), we revealed that gene sets of cell cycle progression, innate immune response and some transcription factors in CD4+ T cells were affected mainly by HIV; while genes associated with extracellular matrix (ECM), Beta cell development and insulin synthesis and secretion were the major targets of HCV. For metabolic pathways, it was modulated by both viruses. Besides, for the first time, our data uncovered the importance of GPCR signaling pathway during HCV, HIV infections. These data for the first time offer genetic basis for HCV/HIV mono-/co- infections, which will facilitate the understanding of the interaction of HCV/HIV in vivo and how they subvert the human gene machinery at the individual cell type level.
2012-07-01 | E-MEXP-3601 | biostudies-arrayexpress
Project description:In this study, Genome-wide transcriptomes of CD8+ T cells from HCV/HIV co-infected or mono-infected treatment-naive individuals were analyzed by using microarray assays. Pairwise comparisons were performed and differentially expressed genes were identified followed by quantitative real time PCR (qRT-PCR) validation. To identify the important functional categories, Directed Acyclic Graphs (DAG) from Web-based Gene SeT AnaLysis Toolkit (WebGestalt) was used to find out Gene Ontology (GO) categories with significantly enriched gene numbers. The enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were also obtained by using the similar methods in the same website.
2012-05-17 | E-MEXP-3635 | biostudies-arrayexpress
Project description:Treatment-naive HIV, HCV mono-/co-infected individuals with CD4+ T cell counts >300/uL were recruited, and the global gene expression profiles of CD4+ T cells were analyzed.Equal amount of CD4+ T cells isolated from each individual were pooled to form three replicative groups. Total RNA was isolated and analyzed by Affymetrix GeneChip Array. Differentially expressed genes were identified and further confirmed by qRT-PCR. To further understand the biological meanings underlying the transcriptome data the Gene Set Enrichment Analysis was used.
2012-04-28 | E-MTAB-1014 | biostudies-arrayexpress