Éditeur(s) : HAL CCSD Public Library of Science
Résumé : International audience
The increased expression of the Disintegrin and Metalloprotease ADAM12 has been associated with human cancers, however its role remain unclear. We have previously reported that ADAM12 expression is induced by the transforming growth factor, TGF-β and promotes TGF-β-dependent signaling through interaction with the type II receptor of TGF-β. Here we explore the implication of ADAM12 in TGF-β-mediated epithelial to mesenchymal transition (EMT), a key process in cancer progression. We show that ADAM12 expression is correlated with EMT markers in human breast cancer cell lines and biopsies. Using a non-malignant breast epithelial cell line (MCF10A), we demonstrate that TGF-β-induced EMT increases expression of the membrane-anchored ADAM12L long form. Importantly, ADAM12L overexpression in MCF10A is sufficient to induce loss of cell-cell contact, reorganization of actin cytoskeleton, up-regulation of EMT markers and chemoresistance. These effects are independent of the proteolytic activity but require the cytoplasmic tail and are specific of ADAM12L since overexpression of ADAM12S failed to induce similar changes. We further demonstrate that ADAM12L-dependent EMT is associated with increased phosphorylation of Smad3, Akt and ERK proteins. Conversely, inhibition of TGF-β receptors or ERK activities reverses ADAM12L-induced mesenchymal phenotype. Together our data demonstrate that ADAM12L is associated with EMT and contributes to TGF-β-dependent EMT by favoring both Smad-dependent and Smad-independent pathways
ISSN: 1932-6203

hal-01207281
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01207281
DOI : 10.1371/journal.pone.0139179
PUBMED : 26407179

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
BACKGROUND: The TGF-β transforming growth factor is the most pleiotropic cytokine controlling a broad range of cellular responses that include proliferation, differentiation and apoptosis. The context-dependent multifunctional nature of TGF-β is associated with complex signaling pathways. Differential models describe the dynamics of the TGF-β canonical pathway, but modeling the non-canonical networks constitutes a major challenge. Here, we propose a qualitative approach to explore all TGF-β-dependent signaling pathways. RESULTS: Using a new formalism, CADBIOM, which is based on guarded transitions and includes temporal parameters, we have built the first discrete model of TGF-β signaling networks by automatically integrating the 137 human signaling maps from the Pathway Interaction Database into a single unified dynamic model. Temporal property-checking analyses of 15934 trajectories that regulate 145 TGF-β target genes reveal the association of specific pathways with distinct biological processes. We identify 31 different combinations of TGF-β with other extracellular stimuli involved in non-canonical TGF-β pathways that regulate specific gene networks. Extensive analysis of gene expression data further demonstrates that genes sharing CADBIOM trajectories tend to be co-regulated. CONCLUSIONS: As applied here to TGF-β signaling, CADBIOM allows, for the first time, a full integration of highly complex signaling pathways into dynamic models that permit to explore cell responses to complex microenvironment stimuli.
ISSN: 1752-0509

inserm-00978313
http://www.hal.inserm.fr/inserm-00978313
http://www.hal.inserm.fr/inserm-00978313/document
http://www.hal.inserm.fr/inserm-00978313/file/1752-0509-8-30.pdf
DOI : 10.1186/1752-0509-8-30

Éditeur(s) : HAL CCSD
Résumé : International audience
The study of complex biological processes requires to forgo simplified models for extensive ones. Yet, these models' size and complexity place them beyond understanding. Their analysis requires new methods for identifying general patterns. The Transforming Growth Factor TGF-β is a multifunctional cytokine that regulates mammalian cell development , differentiation, and homeostasis. Depending on the context, it can play the antagonistic roles of growth inhibitor or of tumor promoter. Its context-dependent pleiotropic nature is associated with complex sig-naling pathways. The most comprehensive model of TGF-β-dependent signaling is composed of 15,934 chains of reactions (trajectories) linking TGF-β to at least one of its 159 target genes. Identifying functional patterns in such a network requires new automated methods. This article presents a framework for identifying groups of similar trajec-tories composed of the same molecules using an exhaustive and without prior assumptions approach. First, the trajectories were clustered using the Relevant Set Correlation model, a shared nearest-neighbors clustering method. Five groups of trajectories were identified. Second, for each cluster the over-represented molecules were determined by scoring the frequency of each molecule implicated in trajectories. Third, Gene set enrichment analysis on the clusters of trajectories revealed some specific TGF-β-dependent biological processes, with different clusters associated to the antagonists roles of TGF-β. This confirms that our approach yields biologically-relevant results. We developed a web interface that facilitates graph visualization and analysis. Our clustering-based method is suitable for identifying families of functionally-similar trajectories in the TGF-β signaling network. It can be generalized to explore any large-scale biological pathways.
CMSB 2017 - 15th International Conference on Computational Methods in Systems Biology
Darmstadt, France

hal-01559249
https://hal.archives-ouvertes.fr/hal-01559249
https://hal.archives-ouvertes.fr/hal-01559249/document
https://hal.archives-ouvertes.fr/hal-01559249/file/JeanCoquet_CMSB.pdf

Éditeur(s) : HAL CCSD Public Library of Science
Résumé : International audience
TIF1γ (Transcriptional Intermediary Factor 1 γ) has been implicated in Smad-dependent signaling by Transforming Growth Factor beta (TGF-β). Paradoxically, TIF1γ functions both as a transcriptional repressor or as an alternative transcription factor that promotes TGF-β signaling. Using ordinary differential-equation models, we have investigated the effect of TIF1γ on the dynamics of TGF-β signaling. An integrative model that includes the formation of transient TIF1γ-Smad2-Smad4 ternary complexes is the only one that can account for TGF-β signaling compatible with the different observations reported for TIF1γ. In addition, our model predicts that varying TIF1γ/Smad4 ratios play a critical role in the modulation of the transcriptional signal induced by TGF-β, especially for short stimulation times that mediate higher threshold responses. Chromatin immunoprecipitation analyses and quantification of the expression of TGF-β target genes as a function TIF1γ/Smad4 ratios fully validate this hypothesis. Our integrative model, which successfully unifies the seemingly opposite roles of TIF1γ, also reveals how changing TIF1γ/Smad4 ratios affect the cellular response to stimulation by TGF-β, accounting for a highly graded determination of cell fate.
ISSN: 1932-6203

hal-00851483
https://hal.archives-ouvertes.fr/hal-00851483
https://hal.archives-ouvertes.fr/hal-00851483/document
https://hal.archives-ouvertes.fr/hal-00851483/file/pone.0033761.pdf
DOI : 10.1371/journal.pone.0033761

Éditeur(s) : HAL CCSD American Association for Cancer Research
Résumé : International audience
Homing of CD8+ T lymphocytes to the tumor microenvironment is an important step for mounting a robust antitumor immune response. TGF-β is responsible for CD103 (αEβ7) integrin induction in activated intraepithelial CD8+ T lymphocytes. However, the interplay between TGF-β and CD103 and their contribution to T-cell infiltration and antitumor activity remain unknown. Here, we used viable human lung tumor slices and autologous tumor antigen-specific T-lymphocyte clones to provide evidence that CD103 is directly involved in T-lymphocyte recruitment within epithelial tumor islets and intratumoral early T-cell signaling. Moreover, TGF-β enhanced CD103-dependent T-cell adhesion and signaling, whereas it inhibited leukocyte function-associated antigen (LFA)-1 (αLβ2) integrin expression and LFA-1-mediated T-lymphocyte functions. Mechanistic investigations revealed that TGF-β bound to its receptors (TGFBR), which promoted the recruitment and phosphorylation of integrin-linked kinase (ILK) by TGFBR1. We further show that ILK interacted with the CD103 intracellular domain, resulting in protein kinase B (PKB)/AKT activation thereby initiating integrin inside-out signaling. Collectively, our findings suggest that the abundance of TGF-β in the tumor microenvironment may in fact engage with integrin signaling pathways to promote T-lymphocyte antitumor functions, with potential implications for T-cell-based immunotherapies for cancer
ISSN: 0008-5472

Droits : info:eu-repo/semantics/OpenAccess
hal-01282442
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01282442
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01282442/document
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01282442/file/TGF%CE%B2%20Signaling%20Intersects%20with%20CD103-boutet2016-final.pdf
DOI : 10.1158/0008-5472.CAN-15-1545

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Metalloproteases involved in extracellular matrix remodeling play a pivotal role in cell response by regulating the bioavailability of cytokines and growth factors. Recently, the disintegrin and metalloprotease, ADAMTS1 has been demonstrated to be able to activate the transforming growth factor TGF-β, a major factor in fibrosis and cancer. The KTFR sequence from ADAMTS1 is responsible for the interaction with the LSKL peptide from the latent form of TGF-β, leading to its activation. While the atomic details of the interaction site can be the basis of the rational design of efficient inhibitory molecules, the binding mode of interaction is totally unknown. In this study, we show that recombinant fragments of human ADAMTS1 containing KTFR sequence keep the ability to bind the latent form of TGF-β. The recombinant fragment with the best affinity is modeled to investigate the binding mode of LSKL peptide with ADAMTS1 at the atomic level. Using a combined approach with molecular docking and multiple independent molecular dynamics (MD) simulations, we provide the binding mode of LSKL peptide with ADAMTS1. The MD simulations starting with the two lowest energy model predicted by molecular docking shows stable interactions characterized by 3 salt bridges (K3-NH3+ with E626-COO−; L4-COO− with K619-NH3+; L1-NH3+ with E624-COO−) and 2 hydrogen bonds (S2-OH with E623-COO−; L4-NH with E623-COO−). The knowledge of this interaction mechanism paves the way to the design of more potent and more specific inhibitors against the inappropriate activation of TGF-β by ADAMTS1 in liver diseases
ISSN: 1476-9271

hal-01269916
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01269916
DOI : 10.1016/j.compbiolchem.2016.01.012
PUBMED : 26878129

Éditeur(s) : HAL CCSD
Résumé : Anti-Müllerian hormone (AMH) is a member of the TGF-ß superfamily. AMH is well known for its role in Müllerian duct regression in male fetuses. Postnatally, AMH is secreted by granulosa cells (GCs) of small growing follicles (preantral and small antral). However, despite the increasing interest of ovarian AMH in clinics, little is known on its mechanism of action and its role in female reproductive tract. My PhD project focuses on the identification of AMH function in the female reproductive tract.AMH signals through a type II transmembrane serine/threonine kinase receptor (AMHR-II) which forms a complex with a type I serine/threonine kinase receptor (ActR-IA, BMPR-IA, BMPR-IB). The type II receptor phosphorylates serine and threonine residues of type I receptor. Once activated, the type I receptor phosphorylates the receptor-regulated Smads (R-Smad1/5/8) which interact with a common partner Smad4. The Smad complex accumulates into the nucleus and regulates target gene expression. This canonical signalling pathway is regulated at different levels, in particular by co-receptors which amplify or antagonize TGF-ß family members action. The type I receptors and R-Smads involved in AMH effects on post-natal GCs remain unknown. In addition, to date, no co-receptor has been found for AMH. To define the involvement of the different type I receptors, we used siRNA technology to inactivate Acvr1, Bmpr1a and Bmpr1b in GC. In parallele, we analysed GC extracted from conditional mutant mice for Acvr1 and Bmpr1a. We found that BMPR-IA is the most important type I receptor for AMH to transduce its signal in GC. A Smad-Gal4/UAS-luciferase reporter gene technology allowed us to show that Smad1 and 5 are involved in AMH signaling pathway. Recently, new BMPs coreceptors were found, RGMs for Repulsive Guidance Molecules. There are three RGMs : RGMa, b and c. Because AMH shares with BMPs its type I receptors and R-Smad proteins, we hypothesized that they also share the same co-receptors, the RGM. We showed that RGMb was the only one expressed in GC and after siRNA transfection we demonstrated that this coreceptor is not essential for AMH to transduce its signal.To date, only few AMH target genes have been identified. Aromatase (Cyp19a1) and LH receptor (Lhcgr) are down-regulated by AMH in rat and porcine GCs. We used micro-array technology (Affymetrix) by comparing Wt and knockout immature ovaries to find new AMH target genes. This experiment evidenced that Ovgp1 and Kcnj2 are two new potential AMH target genes in the ovary.The last part of my project was to define a potential role of AMH in murine uterus. Only one study showed that AMHR-II is expressed in the mouse myometrium. We showed that Amh gene is slightly expressed in uterus but the results are not confirmed at the protein level. Using PCR-array, we found a lot of differentially expressed genes between Wt and Amh KO uterus. Therefore, AMH could regulate uterine function through the modulation of different genes located in the myometrium.
L’hormone anti-Müllerienne (AMH) est un membre de la famille TGF-β impliquée dans la différenciation du tractus reproductif mâle. Elle est aussi exprimée par les cellules de la granulosa de l’ovaire adulte. Cependant, son rôle physiologique chez la femelle n’a pas encore été entièrement établi. Mon projet de thèse a pour objectif d’élucider le(s) rôle(s) de l’AMH dans le tractus reproductif femelle. L’AMH transduit ses effets par l’intermédiaire de deux récepteurs transmembranaires sérine/thréonine kinase : un récepteur de type II qui lui est spécifique (AMHR-II) et un récepteur de type I (ActR-IA, BMPR-IA, BMPR-IB) qu’elle partage avec les BMPs. Après fixation de l’hormone sur le récepteur de type II, celui-ci recrute et phosphoryle le récepteur de type I. Ce dernier phosphoryle à son tour les Smads spécifiques (Smad1, 5 et 8) qui s’associent à la Smad commune, Smad4. L’ensemble transloque dans le noyau et en association avec des facteurs de transcription régule les gènes cibles de l’hormone. L'utilisation de souris KO conditionnelles pour les récepteurs Acvr1 et Bmpr1a et d'une technique de siRNA dirigés contre chacun des trois récepteurs de type I a permis de mettre en évidence que le récepteur BMPR-IA est un acteur essentiel de la voie de signalisation de l'AMH dans les cellules de la granulosa. Pour déterminer la ou les Smad(s) impliquées, une technique de gènes rapporteurs, Smad-Gal4/UAS-luciférase, a été utilisée. Nous avons pu montrer que les Smad1 et 5 sont importantes pour la transduction du signal de l'AMH dans les cellules de la granulosa. Récemment des corécepteurs aux BMPs, les Repulsive Guidance Molecule (RGMs), ont été mis en évidence. L’AMH partageant sa voie de signalisation avec les BMPs, nous avons cherché à déterminer si ces corécepteurs pouvaient également intervenir dans la voie de signalisation de l’AMH. Il existe 3 types de RGMs: RGMa, RGMb et RGMc. Nous avons montré en q-PCR que seul RGMb est exprimé dans les cellules de la granulosa alors que les 3 RGMs sont exprimés dans l’ovaire. L'utilisation de siRNA dirigés contre RGMb a permis de montrer que ce récepteur n'est pas nécessaire à la transduction du signal de l'AMH. Actuellement, seuls deux gènes cibles de l’AMH sont connus dans les cellules de la granulosa : l’aromatase et le récepteur LH. Nous avons réalisé des analyses de puces à ADN (ou micro-array) pour décrire de nouveaux gènes cibles de l'AMH. L'analyse des puces a permis de décrire de nouveaux gènes régulés par cette hormone tels qu’Ovgp1 ou Kcnj2. La dernière partie de mon projet visait à déterminer un rôle potentiel de l'AMH dans l'utérus. En effet, le récepteur de cette hormone est exprimé dans le myomètre utérin de souris permettant de supposer qu’elle peut agir sur cet organe. Nous avons pu mettre en évidence une expression faible du gène de l’Amh dans l’utérus. En revanche, l’expression et la localisation de la protéine restent encore à définir. Une expérience de PCR-array a permis de montrer que de nombreux gènes sont différentiellement exprimés entre l’utérus Wt et l’utérus KO Amh. Ceci indique que l’AMH jouerait un rôle sur la régulation de la fonction utérine qu’elle soit exprimée ou non dans cet organe.
https://tel.archives-ouvertes.fr/tel-00989662

Droits : info:eu-repo/semantics/OpenAccess
NNT : 2014PA11T014
tel-00989662
https://tel.archives-ouvertes.fr/tel-00989662
https://tel.archives-ouvertes.fr/tel-00989662/document
https://tel.archives-ouvertes.fr/tel-00989662/file/VA_SEDES_LAURIANE_03042014.pdf

Éditeur(s) : HAL CCSD
Résumé : Cell signaling contains the whole biological mecanisms allowing the response of a cell to its microenvironnement in an adapted way. Many extremely intertwinned biological reactions are involved in a network that behaves as a complex system. The understanding of cell response requires the development of data acquisition technics and methods to formalize data into models. This point is the main drive of this thesis. We present here two approaches in order to analyse different granularities of cell signaling. In the first one, we used differential model to study the role of a new component of TGF-β canonical pathway. In the second one, we explored the combinatorial complexity of cell signaling, developing a discrete formalism based on guarded transitions. In this approach, we interpreted the whole database Pathway Interaction Database into a single unified model of signal transduction. Simulation and analysis methods, such as reachability and invariance research, have been developed. The interests are presented through an application on cell cycle regulation by cell signaling, and a global analysis on the regulation of genes compared to experimental data.
La signalisation cellulaire regroupe l'ensemble des mécanismes biologiques permettant à une cellule de répondre de façon adaptée à son microenvironnement. Pour ce faire, de nombreuses réactions biologiques entrent en jeux avec un important enchevêtrement, créant ainsi un réseau dont le comportement s'apparente à un système complexe. Le compréhension de la réponse cellulaire à une stimulation passe par le développement conjoint des techniques d'acquisition de données, et des méthodes permettant de formaliser ces données dans un modèle. C'est sur ce dernier point que s'inscrivent les travaux exposés dans cette thèse. Nous présentons ici deux approches visant à répondre à des questions de natures différentes sur la signalisation cellulaire. Dans la première nous utilisons un modèle différentiel pour étudier le rôle d'un nouvel interactant dans la voie canonique du TGF-beta. Dans la seconde nous avons exploré la combinatoire de la signalisation cellulaire en développant un formalisme discret basé sur les transitions gardées. Cette approche regroupe l'interprétation de la base de données Pathway Interaction Database dans un unique modèle dynamique de propagation du signal. Des méthodes de simulations et d'analyses inspirées des techniques de vérification de modèles telles que l'atteignabilité et l'invariance ont été développées. En outre, nous avons étudié la régulation du cycle cellulaire en réponse à la signalisation, ainsi que la régulation des gènes de notre modèle en comparaison avec des données d'expressions.
https://tel.archives-ouvertes.fr/tel-00926487

Droits : info:eu-repo/semantics/OpenAccess
tel-00926487
https://tel.archives-ouvertes.fr/tel-00926487
https://tel.archives-ouvertes.fr/tel-00926487/document
https://tel.archives-ouvertes.fr/tel-00926487/file/AndrieuxThese.pdf

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Monocytes/macrophages (MΦ), considered as plastic cells, can differentiate into either a pro-inflammatory (M1) subtype, also known as a classically activated subtype, or an anti-inflammatory alternatively activated subtype (M2) according to their microenvironment. Phenotypic markers of mouse polarized MΦ have been extensively studied, whereas their human counterparts remain less characterized. The main goal of this study was therefore to carefully characterize phenotypic and genomic markers of primary human MΦ generated from M-CSF-treated blood monocytes and polarized towards M1 or M2 subtype upon the action of lipopolysaccharide and interferon-γ (for M1) or interleukin (IL)-4 (for M2). Membrane expression of the markers CD80 and CD200R was found to be specific of human M1 and M2 polarized MΦ, respectively, whereas, by contrast, mannose receptor (CD206) expression did not discriminate between M1 and M2. mRNA expression analysis further identified six markers of M1 polarization (IL-12p35, CXCL10, CXCL11, CCL5, CCR7 and IDO1), five markers of M2 polarization (TGF-β, CCL14, CCL22, SR-B1 and PPARγ) and transcription factors involved in MΦ polarization. Ability of human M-CSF-generated MΦ to polarize toward M1 or M2 subtype was also associated with enhanced secretion of TNFα, IL-1β, IL-12p40, CXCL10 and IL-10 (for M1) or CCL22 (for M2). Moreover, the comparison of the expression of M1 markers in M-CSF- and GM-CSF-MΦ polarized towards M1 subtype has revealed similarities. In conclusion, we demonstrated that human M-CSF MΦ can polarize toward a M1 type after IFNγ/LPS stimulation. Moreover, the M1 and M2 markers of human polarized MΦ identified in the present study may be useful to better identify human MΦ subtypes, particularly at the tissue level, in order to better understand their respective roles in the development of pathologies.
ISSN: 0008-8749

inserm-00823273
http://www.hal.inserm.fr/inserm-00823273
DOI : 10.1016/j.cellimm.2013.01.010
PUBMED : 23454681