Many protein-protein interactions, especially those involved in eukaryotic signalling, are mediated by PDZ domains through the recognition of hydrophobic C-termini. The availability of experimental PDZ interaction data sets have led to the construction of computational methods to predict PDZ domain-peptide interactions. Such predictors are ideally suited to predict interactions in single organisms or for limited subsets of PDZ domains. As a result, the goal of my thesis has been to build general predictors that can be used to scan the proteomes of multiple organisms for ligands for almost all PDZ domains from select model organisms. A framework consisting of four steps: data collection, feature encoding, predictor training and evaluation was developed and applied for all predictors built in this thesis. The first predictor utilized PDZ domain-peptide sequence information from two interaction data sets obtained from high throughput protein microarray and phage display experiments in mouse and human, respectively. The second predictor used PDZ domain structure and peptide sequence information. I showed that these predictors are complementary to each other, are capable of predicting unseen interactions and can be used for the purposes of proteome scanning in human, worm and fly. As both positive and negative interactions are required for building a successful predictor, a major obstacle I addressed was the generation of artificial negative interactions for training. In particular, I used position weight matrices to generate such negatives for the positive only phage display data and used a semi-supervised learning approach to overcome the problem of over-prediction (i.e. prediction of too many positives). These predictors are available as a community web resource: http://webservice.baderlab.org/domains/POW. Finally, a Bayesian integration method combining information from different biological evidence sources was used to filter the human proteome scanning predictions from both predictors. This resulted in the construction of a comprehensive physiologically relevant high confidence PDZ mediated protein-protein interaction network in human.

Many protein-protein interactions, especially those involved in eukaryotic signalling, are mediated by PDZ domains through the recognition of hydrophobic C-termini. The availability of experimental PDZ interaction data sets have led to the construction of computational methods to predict PDZ domain-peptide interactions. Such predictors are ideally suited to predict interactions in single organisms or for limited subsets of PDZ domains. As a result, the goal of my thesis has been to build general predictors that can be used to scan the proteomes of multiple organisms for ligands for almost all PDZ domains from select model organisms. A framework consisting of four steps: data collection, feature encoding, predictor training and evaluation was developed and applied for all predictors built in this thesis. The first predictor utilized PDZ domain-peptide sequence information from two interaction data sets obtained from high throughput protein microarray and phage display experiments in mouse and human, respectively. The second predictor used PDZ domain structure and peptide sequence information. I showed that these predictors are complementary to each other, are capable of predicting unseen interactions and can be used for the purposes of proteome scanning in human, worm and fly. As both positive and negative interactions are required for building a successful predictor, a major obstacle I addressed was the generation of artificial negative interactions for training. In particular, I used position weight matrices to generate such negatives for the positive only phage display data and used a semi-supervised learning approach to overcome the problem of over-prediction (i.e. prediction of too many positives). These predictors are available as a community web resource: http://webservice.baderlab.org/domains/POW. Finally, a Bayesian integration method combining information from different biological evidence sources was used to filter the human proteome scanning predictions from both predictors. This resulted in the construction of a comprehensive physiologically relevant high confidence PDZ mediated protein-protein interaction network in human.

At the time of writing this thesis, the complete genomes of more than 180 organisms have been sequenced and more than 80000 biological macromolecular structures are available in the Protein Data Bank (PDB). While the number of sequenced genomes and solved three-dimensional structures are rapidly increasing, the functional annotation of protein sequences and structures is a much slower process, mostly because the experimental de-termination of protein function is expensive and time-consuming. A major class of in silico methods used for protein function prediction aim to transfer annotations between proteins based on sequence or structural similarities. These approaches rely on the assumption that homologous proteins of similar primary sequences and three-dimensional structures also have similar functions. While in most cases this assumption appears to be valid, an increasing number of examples show that proteins of highly similar sequences and/or structures can have different biochemical functions. Thus the relationship between the divergence of protein sequence, structure and function is more complex than previously anticipated. On the other hand, there is mounting evidence suggesting that minor changes of the sequences and structures of proteins can cause large differences in their conformational dynamics. As the intrinsic fluctuations of many proteins are key to their biochemical functions, the fact that very similar (almost identical) sequences or structures can have entirely different dynamics might be important for understanding the link between sequence, structure and function. In other words, the dynamic similarity of proteins could often serve as a better indicator of functional similarity than the similarity of their sequences or structures alone. Currently, little is known about how proteins are distributed in the 'dynamics space' and how protein motions depend on structure and sequence. These problems are relevant in the field of protein design, studying protein evolution and to better understand the functional differences of proteins. To address these questions, one needs a precise definition of dynamic similarity, which is not trivial given the complexity of protein motions. This thesis is intended to explore the possibilities of describing the similarity of proteins in the 'dynamics space'. To this end, novel methods of characterizing and comparing protein motions based on molecular dynamics simulation data were introduced. The generally applicable approach was tested on the family of PDZ domains; these small protein-protein interaction domains play key roles in many signalling pathways. The methodology was successfully used to characterize the dynamic dissimilarities of PDZ domains and helped to explain differences of their functional properties (e.g. binding promiscuity) also relevant for drug design studies. The software tools developed to implement the analysis are also introduced in the thesis. Finally, a network analysis study is presented to reveal dynamics-mediated intramolecular signalling pathways in an allosteric PDZ domain.

Les interactions protéine-protéine (IPPs), complexes et dynamiques, sont le cœur des réseaux protéiques cellulaires. Au niveau des synapses excitatrices, la densité post-synaptique (PSD) est un exemple typique de réseau protéique dont la structure et la composition à l’échelle nanoscopique détermine la fonction cellulaire. Ainsi, la régulation dynamique de la composition de la PSD et des mouvements des récepteurs au glutamate dans ou hors de la PSD constitue la base des théories moléculaires actuelles sur l’apprentissage et la mémoire. Dans ce contexte, durant ma thèse, j’ai étudié une classe d’IPPs faisant intervenir les domaines PDZ. En effet, durant ces dernières années, de nombreuses études ont démontré l’implication de ces interactions impliquant les domaines PDZ de la famille de PSD95 dans le ciblage synaptique et l’ancrage des récepteurs au glutamate. Cependant, en partie dû au manque d’outils adaptés, les mécanismes moléculaires sous-jacents qui contrôlent de façon dynamique leur rétention à la synapse restent mal compris. Dans le but d’étudier ces interactions impliquant des domaines PDZ, j’ai développé plusieurs stratégies de sélection par phage display basées sur l’utilisation du dixième domaine de type III de la fibronectine humaine (10Fn3) dans le but de cibler les motifs d’interaction aux domaines PDZ des récepteurs (Stargazin pour les rAMPA et GluN2A pour les rNMDA) ou les domaines PDZ eux-mêmes. En utilisant une approche multidisciplinaire, mes objectifs principaux ont été de concevoir de petits anticorps synthétiques qui nous permettront de rompre ou de stabiliser spécifiquement ces complexes protéiques, ainsi que d’observer les interactions endogènes. / Complex and dynamic protein-protein interactions are the core of protein-based networks in cells. At excitatory synapses, the postsynaptic density (PSD) is a typical example of protein-based network whose nanoscale structure and composition determines the cellular function. For instance, the dynamic regulation of PSD composition and glutamate receptors movements into or out of the PSD are the base of current molecular theories of learning and memory. In this context, during my PhD, I focused on a class of protein-protein interactions mediated by PDZ domains. Indeed, over the last decade, numerous studies have shown the critical implication of PDZ domain-mediated interactions from the PSD95 scaffolding protein family in the synaptic targeting and anchoring of glutamate receptors. However, in part due to the lack of adapted tools, the molecular mechanisms that dynamically govern their respective synaptic retention remain poorly understood. In order to investigate these PDZ domain-mediated interactions, I developed several selection strategies by phage-display based on the fibronectin type III (FN3) scaffold in order to either target the PDZ domain-binding motifs of the receptors complexes (e.g., stargazin for AMPARs and GluN2A for NMDARs) or the PDZ domains themselves. Using a multidisciplinary approach, my main objectives were to engineer small synthetic antibodies that will allow us to acutely and specifically disrupt or stabilize these protein complexes, as well as monitor endogenous interactions.

Fetal pancreatic tissues can be a promising source for pancreatic progenitor cells (PPCs). In this regard, we have successfully isolated and characterized a population of fetal PPCs from first trimester human fetal pancreas using a previously established basic protocol. Upon exposure to a cocktail of conventional growth factors, these PPCs are amenable to differentiate into insulin-secreting islet-like cell clusters (ICCs); however, these ICCs have yet to exert additional efforts to direct to glucose-responsive cells. To address this issue, we have proposed two novel morphogenic factors in the present study, namely PDZ-domain-containing 2 (PDZD2) and angiotensin II (Ang II), a physiologically active peptide of the renin-angiotensin system (RAS), that potentially promote the differentiation and maturation of PPCs/ICCs. / In light of these findings, we conclude that we have discovered two novel mechanisms, the PDZD2 and Ang II/AT2 receptor signaling pathways, in the regulation of the development of PPCs/ICCs, thus implying their novel roles during islet development in vivo. The present study provides a "proof-of-principle" that a local RAS is critically involved in governing islet cell development. This work may contribute to devising protocols for maturation of pancreatic progenitors for clinical islet transplantation. / Local RASs have been reported to regulate the differentiation of tissue progenitor cells. It has yet to be confirmed whether such systems exist and govern the PPC development. To address this issue, we herein provided evidence that expression of RAS components was highly regulated throughout PPC differentiation. Locally generated Ang II was found to maintain PPC growth and differentiation via mediation of the Ang II type 1 and type 2 (AT1 and AT 2) receptors. We found that the AT2, but not AT1, receptor was a key mediator of Ang II-induced upregulation of beta-cell transcription factors. Transplantation of AT2 receptor-depleted ICCs into immune-privileged diabetic mice failed to ameliorate hyperglycemia, implying that AT2 receptors are indispensable during ICC maturation in vivo. / PDZD2 and its secreted form (sPDZD2) have been found to express in our fetal PPCs. We first evaluated the potential role of sPDZD2 in stimulating PPC differentiation and established an optimal concentration for such stimulation. We found that 10-9 M sPDZD2 promoted PPC differentiation, as evidenced by the up-regulation of the pancreatic endocrine markers and C-peptide content in the ICCs. It enhanced their expression of the L-type voltage-gated calcium ion channel (Cav1.2) and conferred an ability to secrete insulin in response to membrane depolarization. Yet these ICCs remained glucose-unresponsive because of the minimal expression of GLUT-2. We thus attempted to study another potential morphogenic candidate, Ang II. / To further test whether a functional RAS is present and if so, whether it regulates islet development in vivo, we employed a mouse embryo model at different embryonic days and reported a stronger AT2 receptor expression during the 2nd developmental transition of pancreas development. AT2 receptor blockade from e8.0 resulted in abnormalities in fetal pancreatic development. Neonates from these mother mice displayed destructed pancreas/islet architecture, a hampered ability in glucose-stimulated insulin-secretion possibly attributed to a decreased ratio of beta-cell to alpha-cell, and an impaired glucose tolerance at 4-wk old. / Leung, Kwan Keung. / Adviser: Po Sing Leung. / Source: Dissertation Abstracts International, Volume: 72-04, Section: B, page: . / Thesis (Ph.D.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (leaves 254-284). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.

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The N-methyl-D-aspartate receptor (NMDAR) hypofunctional hypothesis is believed to explain one of the contributing factors to schizophrenia. This hypothesis suggests the dysregulation of NMDAR, a protein responsible for receiving signals from the synapses between neurons, is the cause of some of the symptoms seen in schizophrenia. The post synaptic density protein 95 (PSD95) uses its PDZ-domains to help facilitate the received signal from NMDAR to α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR) which in turn transmits the signal through the neuron. One way to increase the function of NMDAR could be to increase its affinity towards PDZ-domains of PSD95 using a small molecule. Fragment based drug design (FBDD) is one way to screen for molecules that modulates the NMDAR-PDZ interaction. This work describes the development of differential scanning fluorimetry (DSF) and surface plasmon resonance (SPR) assays using a fusion protein to screen for molecules that potentiate the interaction between NMDAR and AMPAR as well as methods assisting in the prioritization of hits based on both affinity, selectivity, and mechanism. The developed assays were used to screen a library containing 768 compounds. Screen positives and other compounds of interest were triaged and evaluated based on affinity, selectivity, and ability to modulated peptide binding resulting in eight confirmed hits that interacts with the two PDZ-domains of PSD95 investigated. As part of this work, the dissociation constant (KD) was determined for a panel of peptides representing versions of the truncated NMDAR GluN2b-subunit C-terminal towards PDZ1 and 2 of PSD95.

Les protéines à domaines PDZ sont impliquées dans des interactions protéine-protéine (IPP) et participent aux transports de signaux impliqués dans de nombreuses pathologies (cancer, mucoviscidose, douleur,…). L’interruption de l’interaction entre la protéine à domaine PDZ, PSD-95, et le récepteur de la sérotonine, 5-HT2A, réduit l’hyperalgie mécanique sur un modèle expérimental de douleur neuropathique chez les rats. Afin de concevoir de nouveaux inhibiteurs de cette interaction, antalgiques potentiels, trois stratégies ont été développées au cours de ces travaux. Une première stratégie a consisté à réaliser une étude de relation structure-activité à partir d’un inhibiteur connu, qui nous a permis d’identifier des groupements pharmacophores et ainsi obtenir une nouvelle molécule possédant un noyau indolique, capable d’inhiber l’interaction entre PSD-95 et 5-HT2A et possédant un effet anti-hyperalgique chez le rat neuropathique. La deuxième stratégie a consisté à valider la méthode du fragment-based drug design aux protéines à domaines PDZ en réalisant la déconstruction d’un inhibiteur connu de l’interaction en plusieurs fragments qui ont été criblés par RMN HSQC 1H-15N. Une évaluation systématique par RMN de chaque couple de fragments, suivie d’une étude de modélisation moléculaire a ensuite permis de mettre en évidence trois nouvelles molécules qui ont été synthétisées et évaluées par RMN HSQC 1H-15N. La troisième stratégie a été une approche peptidomimétique à partir de l’extrémité C-terminale de 5-HT2A, qui a conduit à la synthèse d’un peptoïde capable d’interagir avec la protéine à domaine PDZ. Ces études nous permettent d’envisager le développement de nouveaux antalgiques soit issus de la synthèse organique soit issus de mimes de peptides. / PDZ domains proteins are involved in protein-protein interaction (PPI) and participate in the transport of signals involved in numerous diseases (cancer, cystic fibrosis, pain, …). The disruption the interaction between the PDZ domains protein, PSD-95, and the serotonin receptor, 5-HT2A, reduces mechanical hyperalgesia in a rodent model of neuropathic pain in rats. To design new inhibitors as potential analgesics of this interaction, three strategies have been developed in this work. A first strategy was to conduct a study of structure-activity relationship from a known inhibitor, which allowed us to identify the pharmacophore groups and obtain a new molecule with an indole ring, capable of inhibiting the interaction between PSD-95 and 5-HT2A and possessing an anti-hyperalgesic effect on neuropathic rats. The second strategy was to validate the method of fragment-based drug design with PDZ domains proteins by deconstruction of a known inhibitor of the interaction in several fragments which were screened by NMR HSQC 1H-15N. Systematic evaluation by NMR of each pair of fragments, followed by molecular modeling study was then used to highlight three new molecules that were synthesized, and evaluated by NMR HSQC 1H-15N. The third strategy was a peptidomimetic approach from the C-terminal of 5-HT2A receptors, which led to the synthesis of a peptoid able to interact with the PDZ domain protein. These studies allow us to consider the development of new analgesics either from organic synthesis or from peptide mimetics.

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal. / Protein-protein interactions are an integral component of signal transduction pathways. The interactions are mediated by modular domains which are present within the structure of the signalling molecule. These domains include PDZ, SH2, SH3, WW, PTB and LIM domains. hPTP1E is a protein-tyrosine phosphatase which contains within its primary structure a region with homology to Band 4.1 proteins, five PDZ domains and a catalytic domain. While the function of this PTPase remains unknown, the structure of hPTP1E suggest it may recruit several proteins into a multiprotein complex. In order to understand the role of hPTP1E, the protein interactions within its signalling cascade were examined. hPTP1E interacts with ZRP-1 and GEF-5.1 via its second PDZ domain and tuberin via its fourth PDZ domain in the yeast two-hybrid system. In order to characterize these proteins and their interactions, antibodies were generated against ZRP-1 and GEF-5.1. The antibodies which detected the antigen expressed in bacteria were purified by affinity chromatography. The antibodies raised against ZRP-1 and hPTP1E detected proteins of appropriate molecular weights in total cell extracts. HPTP1E is ubiquitously expressed whereas ZRP-1 is restricted to HeLa and MCF-7 cells among the cells tested. Unfortunately, antibodies against GEF-5.1 did not detect a protein of the predicted molecular weight in any of the cell extracts. Immunoprecipitation of hPTP1E fi-om cells overexpressing regions of ZRP-1 and tuberin with a hemaglutinin tag demonstrated the presence of an interaction between the phosphatase and tuberin in vivo. However, ZRP-1 and hPTP1E did not interact under these experimental conditions. Confirmation of the yeast two-hybrid results provides further support for a possible role of hPTP1E in the regulation of endocytosis. Additional molecules involved in the signalling pathways involving hPTP1E were identified by interaction trap. In one study, the proline rich amino terminus of ZRP-1 interacted with several clones encoding a segment of hCDC47 and NtZRP-p33, a clone containing an SH3 domain. The significance of these findings is unknown. HCDC47 is a minichromosome maintenance protein wich regulate DNA replication. Further, a clone called KIAA0769 containing the sequence of NtZRP-p33 depicts the typical structure for a scaffolding protein. Another yeast-two hybrid cDNA library screening using the CDC25 homology domain of GEF-5.1 did not detect an interaction with any GTPase but with 14-3-3E. 14-3-3 proteins are regulatory molecules which interact with various types of proteins by means of a phosphorylated serine residue. Mutational analysis demonstrated that the interaction is dependent on the second serine residue within the consensus sequence RSLSQG found in GEF-5.1. The primary structure of the open reading frame of GEF-5.1 was analyzed using profilescan. The software predicted the presence of several domains including a cNMP binding domain, a LTE domain, a PDZ domain, a rasassociated domain and a CDC25 homology domain. A family of guanidine nucleotide exchange factors may exist as clones KIAA0313 and T14G10 have the same structure. These results indicate a role for GEF-5.1 in Ras signalling pathways. Further, its activity may be regulated by the binding of cNMP molecules and 14-3-3E. The identification of ZRP-1 and GEF-5.1 interacting proteins as well as the analysis of the primary structure of GEF-5.1 have provided additional information about the function of hPTP1E. This cytoplasmic phosphatase may be involved in the regulation of processes such as transcription, DNA replication and. Further, an interaction between tuberin and hPTP1E suggests a role for this PTPase in the regulation of endocytosis. / La phosphorylation des protéines est une modification post-traductionelle fréquemment employée pour moduler la transmission des signaux intracellulaires. Il est nécessaire qu'un équilibre du niveau de phosphorylation soit maintenu pour le fonctionnement normal de la cellule sinon des maladies comme le cancer peuvent apparaître. Les enzymes responsables de la phosphorylation des protéines sont les protéines kinases tandis que les protéines phosphatases enlèvent les groupements phosphate. Les résidus phosphorylés dans les protéines sont certains résidus sérines, thréonines et/ou tyrosines. Les différentes enzymes sont classées en deux familles selon leur spécificité. Les protéine-tyrosine phosphatases (PTPase) sont elles-même regroupées dans deux familles selon leur localisation intracellulaire: les PTPases de type récepteur et les phosphatases cytoplasmiques. La structure des phosphatases de type récepteur inclus un domaine extracellulaire, un domaine transmembranaire et un (ou deux) domaine(s) catalytique(s). Les PTPases cytoplasmiques contiennent un domaine catalytique unique et généralement un/ ou des domaine(s) responsable(s) de leur localisation intracellulaire ou impliqué(s) dans des interactions protéine-protéine. Dans notre laboratoire, une phosphatase cytoplasmique dénommée liPTP1E par nous (et PTPL1, PTPBAS, FAP par d'autres) a été isolée. En plus de son domaine catalytique, cette protéine-tyrosine phosphatase contient 1 domaine de type "Band 4.1" qui est impliqué dans la localisation de la protéine à la membrane cellulaire via une interaction avec le cytoskelette, et 5 domaines PDZ. Ces domaines PDZ sont en général impliqués dans les interactions protéineprotéine. Plusieurs études récentes ont tenté de définir la fonction de hPTP1E. Sato et ses collègues ont isolé hPTP1E lors d'un criblage d'une librairie d'ADNc en utilisant le système des deux-hybrides dans la levure avec la partie cytoplasmique du récepteur Fas, comme appât. Ils ont aussi démontré que hPTP1E peut inhiber l'effet apoptotique de Fas. L'apoptose des cellules cibles qui est induit par les lymphocytes T cytotoxiques utiliserait le système Fas. De plus, Fas pourrait être associé à des maladies auto-immunes. En plus, hPTP1E pourrait jouer un rôle dans l'apparition de cellules resistantes aux effets de Fas tel que retrouvées dans les sarcomes de Kaposi chez les sidéens. Malgré des données convaincantes, il reste quand même des doutes quant à l'importance de hPTP1E dans ces maladies. Ainsi une étude publiée n'a pu démontrer une interaction entre les homologues de Fas et hPTP1E chez la souris. Depuis d'autres groupes étudiant les interactions de hPTP1E ont découvert plusieurs protéines qui interagissent avec celle-ci. La première, PARG, est membre de la famille des Rho-GAP, des protéines impliquées dans l'activation des GTPases de type Rho. L'interaction aurait lieu avec le 4ième domaine PDZ de hPTP1E. De plus, le domaine LEVI de RIL interagirait avec hPTP1E via ses 2ième et 4ième domaines PDZ. La fonction biologique de ces interactions n'a toutefois pas été déterminée à ce jour. Pour caractériser la fonction biologique de hPTP1E, nous avons utilisé le système des deux-hybrides de la levure pour identifier des protéines qui interagiraient avec les domaines PDZ de hPTP1E. J'ai ainsi identifié deux protéines nommés ZRP-1 et GEF-5.1, qui se lient à hPTP1E. ZRP-1 possède une structure semblable à celle de zyxin.Ces deux dernières protéines contiennent une région amino-terminale riche en résidus proline et 3 domaines de type LEM à l'extrémité carboxyl terminale. GEF-5.1, d'autre part démontre une homologie marquée aux GEFs de la famille CDC25 impliquées dans l'activation des GTPases de la famille Ras. Des anticorps ont été générés contre ZRP-1, GEF-5.1 et hPTP1E afin de fournir les outils nécessaires pour mieux caractériser ces différentes protéines. Ainsi, j'ai exprimé et purifié le troisième domaine LIM de ZRP-1 ainsi que le domaine PDZ de GEF-5.1, sous forme de protéines de fusion avec la glutathioneS-transferase (GST). Ces protéines ont servis d'antigène pour générer des anticorps chez le lapin. Des anticorps dirigés contre le deuxième domaine PDZ de hPTP1E étaient déja disponibles dans le laboratoire. Ces anticorps ont été purifiés sur une colonne d'affinité GST. Les anticorps anti-ZRP-1 et anti-hPTP1E détectent tous les deux des protéines du poids moléculaire attendu. HPTP1E est exprimé d'une facon ubiquitaire tandis que l'expression de ZRP-1 est plus restrainte parmi les cellules testées. Toutefois, les immunoglobulines dirigées contre GEF-5.1 ne détectent aucune protéine du poids moléculaire attendu dans un extrait cellulaire brut. Parallèlement, d'autres membres du laboratoire ont démontré une interaction entre la tuberine, le produit du gène TSC2, un oncogène impliqué dans la sclérose tubéreuse, et le quatrième domaine PDZ de hPTP1E. Afin de caractériser ces interactions in vivo, des immunoprécipitations de hPTP1E à partir de cellules dans lesquelles une région de ZRP-1 et/ou de la tuberine étaient surexprimé ont été conduites. Sous les conditions expérimentales utilisées, ZRP-1 n'a pas co-immunoprécipité avec hPTP1E. Cependant une interaction avec la tuberine a été détectée utilisant cette stratégie suggérant que HPTP1E pourrait jouer un rôle dans la modulation de l'endocytose. La structure de ZRP-1 inclus un domaine riche en proline qui n'est pas nécessaire pour son interaction avec hPTP1E mais qui pourrait interagir avec d'autres protéines en particulier avec des protéines contenant un/ ou des domaine(s) SH3. La moitié amino-terminale de ce domaine a été utilisé pour cribler une librairie d'ADNc par le système des deux-hybrides. Un clone appelé NtZRP-p33 contenant un domaine SH3 a été identifié. La conséquence biologique de cette interaction reste toutefois a être déterminée. Cependant, NtZRP-p33 possède une structure suggérant son implication dans la signalisation intracellulaire. Un deuxième criblage de la librairie d'ADNc a été initié pour caractériser les protéines impliquées dans le mécanisme de signalisation de hPTP1E. En utilisant le domaine de GEF-5.1 homologue à CDC25, des clones correspondants à la protéine 14-3-3 ont été isolés. Les protéines 14-3-3 forment une famille de protéines qui régularisent la fonction de plusieurs protéines. Leurs interactions se font via un residu sérine qui est phosphorylé. Des mutations du domaine catalytique ont démontré que l'interaction entre 14-3-3s et GEF-5.1 est dépendante du deuxième sérine de la séquence RSLSQG qui se retrouve immédiatement du coté carboxyl terminale du domaine GEF de la protéine GEF-5.1. Ces résultats suggèrent que l'activité de GEF-5.1 pourrait être modulée par la 14-3-38. En conclusion, les résultats expérimentaux présentés dans ce mémoire indique un rôle potentiel de hPTP1E dans plusieurs fonctions cellulaires. En s'associant à la tuberine, hPTP1E pourrait régulariser l'endocytose. Aussi, cette PTPase pourrait être impliquer dans le cycle cellulaire. Ras étant un activateur de la mitose, HPTP1E pourrait moduler l'activité de Ras par voie de GEF-5.1. Ainsi, hPTP1E pourrait agir comme proto-oncogène ou un gène suppresseur des tumeurs. Zyxin est une protéine qui se retrouve près des sites membranaires en association avec le cytoskelette. Puisque la structure de ZRP-1 et zyxin est semblable, ce dernier sert de modèle pour la fonction de ZRP-1. En collaboration avec hPTP1E, ces deux protéines pourrait régulariser la structure du cytoskelette.