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Denis Puthier

Publications and source records attributed to Denis Puthier.

9 recordsLinked to original sources

High cytotoxic and specific migratory potencies of senescent CD8+ CD57+ cells in HIV-infected and uninfected individuals.

CD8+ CD57+ T lymphocytes, present at low levels in the peripheral blood of healthy individuals expand during HIV infection and remain elevated during chronic infection. Their role in the immune response remains unclear. We performed a large-scale gene array analysis (3158 genes) to characterize them and, interestingly, found no distinction in the transcriptional profiles of CD8+ CD57+ T lymphocytes from HIV-infected and uninfected subjects. In both groups, these cells showed specificity for multiple Ags and produced large amounts of IFN-gamma and TNF-alpha. The transcriptional profiles of CD8+ CD57+ and CD8+ CD57- cells, however, differed substantially. We propose that CD8+ CD57+ cells were Ag-driven effector cells with very high cytotoxic effector potential including perforin, granzymes, and granulysin, regardless of HIV status. At both the messenger and protein levels, they expressed more adhesion molecules and fewer chemokine receptors (CCR7 and CXCR4) than CD8+ CD57- cells but expressed preferentially CX3CR1. The lower expression level of genes involved in cell cycle regulation showed limited proliferation capacities of CD8+ CD57+ even in response to TCR and IL-2, IL-7, and IL-15 stimulation. CD8+ CD57+ T cells from both HIV and uninfected subjects maintain effective cytotoxic potentials but are destined to migrate to nonlymphoid tissues without further cycling.

Adult↗

Thrombin-induced endothelial microparticle generation: identification of a novel pathway involving ROCK-II activation by caspase-2.

Thrombin exerts pleiotropic effects on endothelial cells, including the release of microparticles (EMPs) that disseminate and exchange information with vascular cells. Nevertheless, the mechanisms leading to their generation are not elucidated. We performed microarray analysis to identify genes involved in EMP release by the endothelial cell line HMEC-1 in response to thrombin. We identified a group of genes linked to the cytoskeleton reorganization family. Among these, the Rho-kinase ROCK-II presented a high transcription rate. ROCK-I, another Rho-kinase isoform, was not modulated by thrombin. Pharmacologic inhibition of Rho-kinases or specific depletion of ROCK-II by short interfering (si) RNA inhibited thrombin-induced EMP release. In contrast, ROCK-I mRNA silencing did not modify EMP generation by thrombin. Exposure of HMEC-1 to thrombin in presence of the caspase-2 selective inhibitor Z-VDVAD-FMK prevented ROCK-II cleavage and inhibited the thrombin-induced EMP release. These events were observed in absence of cell death. Our data clearly identified ROCK-II as a target of thrombin in EMP generation. They indicated that the 2 Rho-kinases did not share identical functions. The involvement of caspase-2 in ROCK-II activation independently of cell death points out a novel signaling pathway that emphasizes the proteolytic activity of caspase in EMP generation in response to cell activation.

Caspase 2↗

STAT5-mediated signals sustain a TCR-initiated gene expression program toward differentiation of CD8 T cell effectors.

Poorly functional effector CD8 T cells are generated in some pathological situations, including responses to weakly antigenic tumors. To identify the molecular bases for such defective differentiation, we monitored gene expression in naive monoclonal CD8 T cells during responses to TCR ligands of different affinity. We further evaluated whether responses to weak Ags may be improved by addition of cytokines. Transient gene expression was observed for a cluster of genes in response to the weak TCR agonist. Strikingly, gene expression was stabilized by low dose IL-2. This IL-2-sustained gene cluster encoded notably transcripts for CD25, cytolytic effector molecules (granzyme B) and TNF-R family costimulatory molecules (glucocorticoid-induced TNF-R (GITR), OX40, and 4-1BB). IL-2-enhanced surface expression or function was also demonstrated in vivo for these genes. A constitutive active form of STAT5 mimicked the IL-2 effect by sustaining transcripts for the same gene cluster. Consistent with this, under conditions of low avidity TCR engagement and IL-2 treatment, endogenous STAT5 binding to 4-1BB and granzyme B promoters was demonstrated by chromatin immunoprecipitation. This study highlights those genes for which IL-2, via STAT5 activation, acts as a stabilizer of gene regulation initiated by TCR signals, contributing to the development of a complete CD8 T cell effector program.

Animals↗

Gene-expression profiling discriminates between cerebral malaria (CM)-susceptible mice and CM-resistant mice.

The development of cerebral malaria (CM) in mice with Plasmodium berghei ANKA infection is under genetic control. Brain gene-expression patterns were investigated in well-defined genetically CM-resistant (CM-R; BALB/c and DBA/2) and CM-susceptible (CM-S; C57BL/6 and CBA/J) mice by use of cDNA microarrays. By combining transcriptional profiling with rigorous statistical methods and cluster analysis, we identified a set of 69 genes that perfectly discriminated between mouse strains and between CM-R and CM-S mice. The analysis of gene ontological terms revealed that the genes that clustered and were related to susceptibility to CM preferentially belonged to some biological process classes, such as those pertaining to immune responses. Using a false discovery rate of 5% and the Welch t test, we identified 31 genes with consistent differential expression between CM-R and CM-S mice. These data indicate that microarray analysis may be useful for identification of candidate genes that are potentially responsible for resistance or susceptibility to mouse CM and suggest that candidate genes identified in mice could be specifically tested in humans for an association with disease severity.

Animals↗

Modulation of interleukin-7 receptor expression characterizes differentiation of CD8 T cells specific for HIV, EBV and CMV.

OBJECTIVES: To further understand differentiation and homeostasis of CD8 T cells specific for HIV, Epstein-Barr Virus (EBV) and cytomegalovirus (CMV) during HIV infection, we investigated interleukin-7 receptor alpha (IL-7Ralpha) expression on those virus-specific T cells. METHODS: Microarrays and cytometry analyses were performed on peripheral blood mononuclear cells (PBMC), total and tetramer-binding virus-specific CD8 T cells from 66 HIV-infected patients. RESULTS: Microarray analysis revealed reduced levels of IL-7Ralpha and increased levels of perforin with disease progression in total PBMC. This loss of IL-7Ralpha expression was observed on CD8 T cells and was inversely related to perforin expression. The relative expression of both molecules defined three new subsets: IL-7Ralpha(pos)Perforin(neg); IL-7Ralpha(loneg)Perforin(lo); and IL-7Ralpha(loneg)Perforin(hi) corresponding to naive and effector-memory CD8 differentiation, as assessed by CD45RA/CD11a. The IL-7Ralpha expression decreased along the CD8 differentiation pathway defined by CD27 and CD28. In contrast, IL-7Ralpha expression was down-modulated on all the CD8 T cells specific for HIV, EBV and CMV that were almost exclusively IL-7Ralpha(lo/neg)Perforin(lo) and was parallel with the CD27 expression. In addition, this low IL-7Ralpha expression on HIV-specific CD8 T cells was independent of virus load and T-cell activation and remained stable during the first 6 months of antiretroviral therapy despite successful control of HIV replication. CONCLUSION: The relative expression of IL-7Ralpha, perforin reveals new aspects of virus-specific CD8 T cell differentiation, independently of T-cell activation and virus load. This opens new perspectives for understanding homeostasis of those cells and immune-based therapeutic strategies.

Antiretroviral Therapy, Highly Active↗

A general survey of thymocyte differentiation by transcriptional analysis of knockout mouse models.

The thymus is the primary site of T cell lymphopoiesis. To undergo proper differentiation, developing T cells follow a well-ordered genetic program that strictly depends on the heterogeneous and highly specialized thymic microenvironment. In this study, we used microarray technology to extensively describe transcriptional events regulating alphabeta T cell fate. To get an integrated view of these processes, both whole thymi from genetically engineered mice together with purified thymocytes were analyzed. Using mice exhibiting various transcriptional perturbations and developmental blockades, we performed a transcriptional microdissection of the organ. Multiple signatures covering both cortical and medullary stroma as well as various thymocyte maturation intermediates were clearly defined. Beyond the definition of histological and functional signatures (proliferation, rearrangement), we provide the first evidence that such an approach may also highlight the complex cross-talk events that occur between maturing T cells and stroma. Our data constitute a useful integrated resource describing the main gene networks set up during thymocyte development and a first step toward a more systematic transcriptional analysis of genetically modified mice.

Animals↗

Genomic organization and the tissue distribution of alternatively spliced isoforms of the mouse Spatial gene.

BACKGROUND: The stromal component of the thymic microenvironment is critical for T lymphocyte generation. Thymocyte differentiation involves a cascade of coordinated stromal genes controlling thymocyte survival, lineage commitment and selection. The "Stromal Protein Associated with Thymii And Lymph-node" (Spatial) gene encodes a putative transcription factor which may be involved in T-cell development. In the testis, the Spatial gene is also expressed by round spermatids during spermatogenesis. RESULTS: The Spatial gene maps to the B3-B4 region of murine chromosome 10 corresponding to the human syntenic region 10q22.1. The mouse Spatial genomic DNA is organised into 10 exons and is alternatively spliced to generate two short isoforms (Spatial-alpha and -gamma) and two other long isoforms (Spatial-delta and -epsilon) comprising 5 additional exons on the 3' site. Here, we report the cloning of a new short isoform, Spatial-beta, which differs from other isoforms by an additional alternative exon of 69 bases. This new exon encodes an interesting proline-rich signature that could confer to the 34 kDa Spatial-beta protein a particular function. By quantitative TaqMan RT-PCR, we have shown that the short isoforms are highly expressed in the thymus while the long isoforms are highly expressed in the testis. We further examined the inter-species conservation of Spatial between several mammals and identified that the protein which is rich in proline and positive amino acids, is highly conserved. CONCLUSIONS: The Spatial gene generates at least five alternative spliced variants: three short isoforms (Spatial-alpha, -beta and -gamma) highly expressed in the thymus and two long isoforms (Spatial-delta and -epsilon) highly expressed in the testis. These alternative spliced variants could have a tissue specific function.

Alternative Splicing↗

Spatial, a new nuclear factor tightly regulated during mouse spermatogenesis.

In order to clarify general mechanisms of T cell development, we used array technology to identify genes differentially expressed between wild type and mutant mice thymuses. This quantitative differential screening leads to the isolation of Spatial, a putative transcription factor, expressed at high level in thymic cortical stromal cells. We report here, by RT-PCR on 48 distinct tissues that Spatial is also highly expressed in testis. Interestingly, the testicular expression is developmentally regulated, since it only appears in adult mice around 7-8 weeks of age. Analysis of purified testicular cell types show that Spatial expression is restricted to haploid round spermatids during spermiogenesis and the expression sites were further localized by in situ hybridization to step 2-10 spermatids. Thus, this recently described nuclear factor constitutes a new marker of the round spermatid stage that may play a key role in the control of male germ cell development.

Animals↗

Gene profiling approach to establish the molecular bases for partial versus full activation of naïve CD8 T lymphocytes.

When initial antigen encounter involves optimal antigenic and costimulatory stimuli, naïve CD8 T cells undergo a developmental program that leads to their activation, expansion and acquisition of effector functions (including production of IL-2, IFNgamma and expression of cytolytic effector molecules). A subset of the activated CD8 T cells thrives as long-lived memory cells. Encounter of tissue-associated, and in particular tumor-associated antigen, may often be suboptimal in terms of antigenicity and costimulation, however. We previously developed a model of naïve CD8 T cells from transgenic mice expressing an alloreactive TCR for which a mutant alloantigen behaved as a partial agonist, inducing only some of the effector functions induced by the native alloantigen. To ascertain the molecular bases for the establishment of divergent fates within the same naïve CD8 T cells, we have used cDNA microarrays to monitor sequential gene expression patterns in conditions of full or partial response of these naïve CD8 T cells. Of the 5000 different genes monitored on the array, 18% showed changes in expression in activated versus naïve CD8 T cells, independent of whether stimulation was with full or partial agonist. These included antigen-induced upregulated as well as downregulated genes. Clusters of genes that were differentially expressed were also identified, being either (i) weakly versus strongly, or (ii) transiently versus stably expressed in response to partial and full agonist, respectively. They included (i) genes encoding costimulatory molecules and (ii) genes controlling cytolytic function, cytokine production, and chemokines. Therefore, the cDNA microarray approach was a sensitive tool to provide an exhaustive picture of T cell activation as it could discriminate quantitative, qualitative and dynamic differences in mRNA expression profiles between fully or partially activated T cells.

Animals↗