Brigitte Vannier

Basolateral Localization and Transcytosis of Gonadotropin and Thyrotropin Receptors Expressed in Madin-Darby Canine Kidney Cells

The thyrotropin (TSH) and follicle-stimulating hormone (FSH) receptors are present mainly on the basolateral cell surface in the thyroid gland and in Sertoli cells, whereas in ovarian and in testicular cells, the luteinizing hormone (LH) receptors are distributed throughout the cell surface. When expressed in Madin-Darby canine kidney (MDCK) cells, all three receptors accumulated at the basolateral cell surface showing that they carry the corresponding targeting signals. The receptors were directly delivered to the basolateral surface of the MDCK cells. A minor fraction of the gonadotropin receptors but not of TSH receptors was secondarily targeted to the apical surface through transcytosis. The mechanisms of basolateral targeting and transcytosis were analyzed using the FSH receptor as a model. Both were insensitive to brefeldin A and pertussis toxin. Gs activation by AlF4− and cholera toxin provoked a marked enhancement of FSH receptor transcytosis. The population of Gs proteins involved in this mechanism was different from that involved in signal transduction since neither FSH nor forskolin mimicked the effects of AlF4− and cholera toxin. Gs activation provoked a similar effect on LH receptor distribution in MDCK cells, whereas it did not modify the compartmentalization of the TSH receptor. Hormone-specific transcytosis was observed in MDCK cells expressing the gonadotropin (FSH and LH) receptors and was increased after cholera toxin administration.

The Basolateral Localization Signal of the Follicle-stimulating Hormone Receptor

The follicle-stimulating hormone receptor (FSHR) is physiologically localized in the basolateral compartment of the membrane of Sertoli cells. This localization is also observed when the receptor is experimentally expressed in Madin-Darby canine kidney cells. We thus used in vitro mutagenesis and transfection into these polarized cells to delineate the basolateral localization signal of the receptor. The signal was localized in the C-terminal tail of the intracellular domain (amino acids 678–691) at a marked distance of the membrane. Mutation of individual amino acids highlighted the importance of Tyr684 and Leu689. The 14-amino acid sequence was grafted onto the p75 neurotrophin receptor and redirected this apical protein to the basolateral cell membrane compartment. Deletion of amino acids 677–695 did not modify the internalization of the FSHR, showing that the basolateral localization signal of the FSHR is not colinear with its internalization signal.

ErbB380 kDa, a nuclear variant of the ErbB3 receptor, binds to the Cyclin D1 promoter to activate cell proliferation but is negatively controlled by p14ARF

EGFR family members are tyrosine kinase transmembrane receptors that, in response to specific extracellular ligands, activate cytoplasmic pathways involved in cell proliferation, migration and differentiation. More recently, a pivotal role for EGF receptors has emerged, through the description of their nuclear localization.We report here the characterization of a nuclear variant of the kinase-defective ErbB3 receptor, ErbB3(80 kDa), spanning the intracytoplasmic domain of the receptor. We assessed the putative transcriptional functions of ErbB3(80 KDa) in cancer cells, through the regulation of the proliferative Cyclin D1 gene, an already known target of the ErbB3 cytoplasmic signaling. We demonstrate here that the binding of ErbB3(80 KDa) on the promoter activates Cyclin D1 transcription and subsequent protein expression, leading to an increased cell proliferation. This mechanism can be balanced in response to the ectopic expression of the tumor suppressor p14ARF that physically interacts with ErbB3(100 kDa) and sequesters it into nucleoli. Our data also show that ErbB3(80 kDa) increases the transcription of proliferative genes even though the cytoplasmic pathways are not activated. This nuclear ErbB3 pathway and the target genes concerned need to be further studied. Indeed, such mechanism could explain the tumor relapse observed in response to treatments aimed at blocking the receptor activation in response to ligand binding.

Saturated fatty acids alter the late secretory pathway by modulating membrane properties.

Saturated fatty acids (SFA) have been reported to alter organelle integrity and function in many cell types, including muscle and pancreatic β‐cells, adipocytes, hepatocytes and cardiomyocytes. SFA accumulation results in increased amounts of ceramides/sphingolipids and saturated phospholipids (PL). In this study, using a yeast‐based model that recapitulates most of the trademarks of SFA‐induced lipotoxicity in mammalian cells, we demonstrate that these lipid species act at different levels of the secretory pathway. Ceramides mostly appear to modulate the induction of the unfolded protein response and the transcription of nutrient transporters destined to the cell surface. On the other hand, saturated PL, by altering membrane properties, directly impact vesicular budding at later steps in the secretory pathway, i.e. at the trans‐Golgi Network level. They appear to do so by increasing lipid order within intracellular membranes which, in turn, alters the recruitment of loose lipid packing‐sensing proteins, required for optimal budding, to nascent vesicles. We propose that this latter general mechanism could account for the well‐documented deleterious impacts of fatty acids on the last steps of the secretory pathway in several cell types.

Gonadotrophin and thyrotrophin receptors.

Gonadotrophin and thyrotrophin receptors belong to a subgroup of G-protein-coupled receptors. These receptors are characterized by a large extracellular domain that is responsible for the binding of the hormone. Soluble receptors, such as some luteinizing hormone receptors, arise from premessenger RNA alternative splicing, or, in the case of thyroid-stimulating hormone (TSH) receptors, by the cleavage and shedding of the ectodomain. Follicle-stimulating hormone and TSH receptors are restricted to the basolateral domain of their target cells. These receptors are also present in endothelial cells of target organ vessels and are involved in hormone transcytosis. Various genetic abnormalities of these receptors have been described.

Microarray Integrated Analysis of a Gene Network for the CD36 Myocardial Phenotype

CD36 is a multifunctional membrane-type receptor glycoprotein that reacts with oxidized low-density lipoprotein and long-chain fatty acid (LCFA). However, much remains to be understood about the molecular mechanism of the cardio-myopathy observed in CD36-KO mice. In this study, we identify different genes pathways involved in response to CD36 cardio-myopathy phenotype by identifying the differences among biological processes, molecular pathways and networks of interactions that emerge from knocking CD3 and using different bioinformatics tools such as STRING, GeneMANIA and Cytoscape. We were able list all the CD36-regulated genes, their related function and their specific networks. Data analysis showed that CD36-regulated genes differentially expressed are involved in biological processes such as FA metabolism, angiogenesis/apoptosis and cell structure. These results provide the first look at mechanisms involved in CD36 deficiency and development of cardio-myopathy and the opportunity to identify new therapeutic targets.

The Whole Genome Expression Analysis using Two Microarray Technologies to Identify Gene Networks That Mediate the Myocardial Phenotype of CD36 Deficiency

We have previously shown that CD36 is a membrane protein that facilitates long chain fatty acid (FA) transport by muscle tissues. We also documented the significant impact of muscle CD36 expression on heart function, skeletal muscle insulin sensitivity as well as on overall metabolism. To identify a comprehensive set of genes that are differentially regulated by CD36 expression in the heart, we used two microarray technologies (Affymetrix and Agilent) to compare gene expression in heart tissues from CD36 KnocK-Out (KO-CD36) versus wild type (WT-CD36) mice. The obtained results using the two technologies were similar with around 35 genes differentially expressed using both technologies. Absence of CD36 led to down-regulation of the expression of three groups of genes involved in pathways of FA metabolism, angiogenesis/apoptosis and structure. These data are consistent with the fact that the CD36 protein binds FA and thrombospondin 1 invoved respectively in lipid metabolism and anti-angiogenic activities. In conclusion, our findings led to validate our data analysis workflow and identify specific pathways, possibly underlying the phenotypic abnormalities in CD36 Knock -Out hearts.

Genes selection comparative study in microarray data analysis.

In response to the rapid development of DNA Microarray Technologies, many differentially expressed genes selection algorithms have been developed, and different comparison studies of these algorithms have been done. However, it is not clear how these methods compare with each other, especially when we used different developments tools. Here, we considered three commonly used differentially expressed genes selection approaches, namely: Fold Change, T-test and SAM, using Bioinformatics Matlab Toolbox and R/BioConductor. We used two datasets, issued from the affymetrix technology, to present results of used methods and softwares in gene selection process. The results, in terms of sensitivity and specificity, indicate that the behavior of SAM is better compared to Fold Change and T-test using R/BioConductor. While, no practical differences were observed between the three gene selection methods when using Bioinformatics Matlab Toolbox. In face of our result, the ROC curve shows that: on the one hand R/BioConductor using SAM is favored for microarray selection compared to the other methods. And, on the other hand, results of the three studied gene selection methods using Bioinformatics Matlab Toolbox are still comparable for the two datasets used.

Marked Point Processes for Microarray Data Clustering

Microarray technologies become a powerful technique for simultaneously monitoring expression patterns of thousands of genes under different conditions. However, it is important to identify gene groups that manifest similar expression profiles and are activated by similar conditions. ClusterMPP: Clustering by Marked Point Process is a new microarray data clustering algorithm performed in two steps. The first one detects cluster modes representing regions of high density observations in the raw space. Based on the simulation of a proposed Marked Point Process by the well-known Reversible Jump Markov Chain Monte Carlo algorithm, where we consider several movements like birth and death, this algorithm step identifies prototype observations of each cluster. The second step of ClusterMPP is the K nearest neighbors (KNN) assignation that affects the remaining observations to the corresponding clusters. We experiment ClusterMPP on several complex and scalable microarray datasets. The results show the efficiency of ClusterMPP compared to well-known microarray data clustering methods like K-means, Spectral Clustering, and Mean-Shift.

Integrated and Functional Genomics Analysis Validates the Relevance of the Nuclear Variant ErbB380kDa in Prostate Cancer Progression.

The EGF-family of tyrosine-kinase receptors activates cytoplasmic pathways involved in cell proliferation, migration and differentiation in response to specific extracellular ligands. Beside these canonical pathways, the nuclear localization of the ErbB receptors in primary tumours and cancer cell lines led to investigate their role as transcriptional regulators of cancer genes. The nuclear localization of ErbB3 has been reported in various cancer tissues and cell lines but the nuclear functions and the putative correlation with tumour progression and resistance to therapy remain unclear. We first assessed ErbB3 expression in normal and tumour prostate tissues. The nuclear staining was mainly due to an isoform matching the C-terminus domain of the full length ErbB3185kDa receptor. Nuclear staining was also restricted to cancer cells and was increased in advanced castration-resistant prostate cancer when compared to localized tumours, suggesting it could be involved in the progression of prostate cancer up to the terminal castration-resistant stage. ChIP-on-chip experiments were performed on immortalized and tumour cell lines selected upon characterization of endogenous nuclear expression of an ErbB380kDa isoform. Among the 1840 target promoters identified, 26 were selected before ErbB380kDa-dependent gene expression was evaluated by real-time quantitative RT-PCR, providing evidence that ErbB380kDa exerted transcriptional control on those genes. Some targets are already known to be involved in prostate cancer progression even though no link was previously established with ErbB3 membrane and/or nuclear signalling. Many others, not yet associated with prostate cancer, could provide new therapeutic possibilities for patients expressing ErbB380kDa. Detecting ErbB380kDa could thus constitute a useful marker of prognosis and response to therapy.