Autocrine control of glioma cells adhesion and migration through IRE1α-mediated cleavage of SPARC mRNA
Autor: | Dejeans, N., Pluquet, O., Lhomond, S., Grise, F., Bouchecareilh, M., Juin, A., Meynard-Cadars, M., Bidaud-Meynard, A., Gentil, C., Moreau, V., Saltel, F., Chevet, E. |
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Přispěvatelé: | Physiopathologie du cancer du foie, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Faculté de Médecine Purpan, This work was supported by the Avenir program of Institut National de la Santé et de la Recherche Médicale, Institut national du cancer, Ligue Contre le Cancer to E.C., the French Association pour la Recherche contre le Cancer to O.P., La Ligue contre le Cancer to N.D., and the Cancéropôle Grand Sud-Ouest to C.G., We thank the Chevet lab for critical reading of the manuscript. We are indebted to Sebastien Marais (Bordeaux Imaging Center, Bordeaux, France) for help with the ImageJ program. |
Rok vydání: | 2012 |
Předmět: |
cell migration
[SDV]Life Sciences [q-bio] MESH: Cell Movement*/genetics MESH: Glioma/genetics MESH: Brain Neoplasms/pathology Cell Movement MESH: Extracellular Matrix Proteins/metabolism MESH: Actin Cytoskeleton/metabolism Tumor Cells Cultured Osteonectin MESH: Signal Transduction/genetics MESH: Autocrine Communication*/genetics Extracellular Matrix Proteins Brain Neoplasms MESH: Gene Expression Regulation Neoplastic Glioma MESH: RNA Messenger/metabolism Gene Expression Regulation Neoplastic Actin Cytoskeleton Autocrine Communication MESH: Endoribonucleases/metabolism MESH: Glioma/pathology MESH: RNA Messenger/genetics Signal Transduction Down-Regulation [SDV.CAN]Life Sciences [q-bio]/Cancer IRE1 Protein Serine-Threonine Kinases MESH: Spheroids Cellular/pathology Models Biological MESH: Down-Regulation/genetics MESH: Gene Expression Profiling MESH: Cell Proliferation Spheroids Cellular Endoribonucleases Cell Adhesion MESH: Osteonectin/genetics MESH: Protein-Serine-Threonine Kinases/metabolism Humans MESH: Tumor Cells Cultured RNA Messenger MESH: Osteonectin/metabolism MESH: rhoA GTP-Binding Protein/metabolism Cell Proliferation MESH: Extracellular Matrix Proteins/genetics MESH: Humans Gene Expression Profiling MESH: Models Biological SPARC MESH: Cell Adhesion/genetics MESH: Brain Neoplasms/genetics rhoA GTP-Binding Protein Endoplasmic reticulum |
Zdroj: | Journal of Cell Science Journal of Cell Science, Company of Biologists, 2012, 125 (18), pp.4278-4287. ⟨10.1242/jcs.099291⟩ |
ISSN: | 1477-9137 0021-9533 |
DOI: | 10.1242/jcs.099291⟩ |
Popis: | International audience; The endoplasmic reticulum (ER) is an organelle specialized for the folding and assembly of secretory and transmembrane proteins. ER homeostasis is often perturbed in tumor cells because of dramatic changes in the microenvironment of solid tumors, thereby leading to the activation of an adaptive mechanism named the unfolded protein response (UPR). The activation of the UPR sensor IRE1α has been described to play an important role in tumor progression. However, the molecular events associated with this phenotype remain poorly characterized. In the present study, we examined the effects of IRE1α signaling on the adaptation of glioma cells to their microenvironment. We show that the characteristics of U87 cell migration are modified under conditions where IRE1α activity is impaired (DN_IRE1). This is linked to increased stress fiber formation and enhanced RhoA activity. Gene expression profiling also revealed that loss of functional IRE1α signaling mostly resulted in the upregulation of genes encoding extracellular matrix proteins. Among these genes, Sparc, whose mRNA is a direct target of IRE1α endoribonuclease activity, was in part responsible for the phenotypic changes associated with IRE1α inactivation. Hence, our data demonstrate that IRE1α is a key regulator of SPARC expression in vitro in a glioma model. Our results also further support the crucial contribution of IRE1α to tumor growth, infiltration and invasion and extend the paradigm of secretome control in tumor microenvironment conditioning. |
Databáze: | OpenAIRE |
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