936 resultados para Protein Interaction Maps
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The Wilms' tumour suppressor gene, WT1, encodes a zinc-finger protein that is mutated in Wilms' tumours and other malignancies. WT1 is one of the earliest genes expressed during kidney development. WT1 proteins can activate and repress putative target genes in vitro, although the in vivo relevance of such target genes often remains unverified. To better understand the role of WT1 in tumorigenesis and kidney development, we need to identify downstream target genes. In this study, we have expression pro. led human embryonic kidney 293 cells stably transfected to allow inducible WT1 expression and mouse mesonephric M15 cells transfected with a WT1 antisense construct to abolish endogenous expression of all WT1 isoforms to identify WT1-responsive genes. The complementary overlap between the two cell lines revealed a pronounced repression of genes involved in cholesterol biosynthesis by WT1. This pathway is transcriptionally regulated by the sterol responsive element-binding proteins (SREBPs). Here, we provide evidence that the C-terminal end of the WT1 protein can directly interact with SREBP, suggesting that WT1 may modify the transcriptional function of SREBPs via a direct protein-protein interaction. Therefore, the tumour suppressor activities of WT1 may be achieved by repressing the mevalonate pathway, thereby controlling cellular proliferation and promoting terminal differentiation.
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Topological measures of large-scale complex networks are applied to a specific artificial regulatory network model created through a whole genome duplication and divergence mechanism. This class of networks share topological features with natural transcriptional regulatory networks. Specifically, these networks display scale-free and small-world topology and possess subgraph distributions similar to those of natural networks. Thus, the topologies inherent in natural networks may be in part due to their method of creation rather than being exclusively shaped by subsequent evolution under selection. The evolvability of the dynamics of these networks is also examined by evolving networks in simulation to obtain three simple types of output dynamics. The networks obtained from this process show a wide variety of topologies and numbers of genes indicating that it is relatively easy to evolve these classes of dynamics in this model. (c) 2006 Elsevier Ireland Ltd. All rights reserved.
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More than fifteen years following the description of Tat as a critical HIV gene expression regulatory protein, additional roles for Tat in HIV replication have been described, including reverse transcription. Tat achieves function through direct interaction with viral proteins, including reverse transcriptase, and numerous cellular proteins including cyclin T1, RNA polymerase 11, protein kinase R (PKR), p300/CBP, and P/CAF. Despite our advanced knowledge of how Tat operates, this has not yet resulted in the discovery of effective agents capable of targeting various Tat functions. Nevertheless, Tat remains an attractive, virus-specific molecule and detailed understanding of specific protein interaction holds promise for future drug discovery.
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FRET (fluorescence resonance energy transfer) and co-immunoprecipitation studies confirmed the capacity of beta-arrestin 2 to self-associate. Amino acids potentially involved in direct protein-protein interaction were identified via combinations of spot-immobilized peptide arrays and mapping of surface exposure. Among potential key amino acids, Lys(285), Arg(286) and Lys(295) are part of a continuous surface epitope located in the polar core between the N- and C-terminal domains. Introduction of K285A/R286A mutations into beta-arrestin 2-eCFP (where eCFP is enhanced cyan fluorescent protein) and beta-arrestin 2-eYFP (where eYFP is enhanced yellow fluorescent protein) constructs substantially reduced FRET, whereas introduction of a K295A mutation had a more limited effect. Neither of these mutants was able to promote beta2-adrenoceptor-mediated phosphorylation of the ERK1/2 (extracellular-signal-regulated kinase 1/2) MAPKs (mitogen-activated protein kinases). Both beta-arrestin 2 mutants displayed limited capacity to co-immunoprecipitate ERK1/2 and further spot-immobilized peptide arrays indicated each of Lys(285), Arg(286) and particularly Lys(295) to be important for this interaction. Direct interactions between beta-arrestin 2 and the beta2-adrenoceptor were also compromised by both K285A/R286A and K295A mutations of beta-arrestin 2. These were not non-specific effects linked to improper folding of beta-arrestin 2 as limited proteolysis was unable to distinguish the K285A/R286A or K295A mutants from wild-type beta-arrestin 2, and the interaction of beta-arrestin 2 with JNK3 (c-Jun N-terminal kinase 3) was unaffected by the K285A/R286A or L295A mutations. These results suggest that amino acids important for self-association of beta-arrestin 2 also play an important role in the interaction with both the beta2-adrenoceptor and the ERK1/2 MAPKs. Regulation of beta-arrestin 2 self-association may therefore control beta-arrestin 2-mediated beta2-adrenoceptor-ERK1/2 MAPK signalling.
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GPCRs exhibit a common architecture of seven transmembrane helices (TMs) linked by intracellular loops and extracellular loops (ECLs). Given their peripheral location to the site of G-protein interaction, it might be assumed that ECL segments merely link the important TMs within the helical bundle of the receptor. However, compelling evidence has emerged in recent years revealing a critical role for ECLs in many fundamental aspects of GPCR function, which supported by recent GPCR crystal structures has provided mechanistic insights. This review will present current understanding of the key roles of ECLs in ligand binding, activation and regulation of both family A and family B GPCRs.
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To carry out their specific roles in the cell, genes and gene products often work together in groups, forming many relationships among themselves and with other molecules. Such relationships include physical protein-protein interaction relationships, regulatory relationships, metabolic relationships, genetic relationships, and much more. With advances in science and technology, some high throughput technologies have been developed to simultaneously detect tens of thousands of pairwise protein-protein interactions and protein-DNA interactions. However, the data generated by high throughput methods are prone to noise. Furthermore, the technology itself has its limitations, and cannot detect all kinds of relationships between genes and their products. Thus there is a pressing need to investigate all kinds of relationships and their roles in a living system using bioinformatic approaches, and is a central challenge in Computational Biology and Systems Biology. This dissertation focuses on exploring relationships between genes and gene products using bioinformatic approaches. Specifically, we consider problems related to regulatory relationships, protein-protein interactions, and semantic relationships between genes. A regulatory element is an important pattern or "signal", often located in the promoter of a gene, which is used in the process of turning a gene "on" or "off". Predicting regulatory elements is a key step in exploring the regulatory relationships between genes and gene products. In this dissertation, we consider the problem of improving the prediction of regulatory elements by using comparative genomics data. With regard to protein-protein interactions, we have developed bioinformatics techniques to estimate support for the data on these interactions. While protein-protein interactions and regulatory relationships can be detected by high throughput biological techniques, there is another type of relationship called semantic relationship that cannot be detected by a single technique, but can be inferred using multiple sources of biological data. The contributions of this thesis involved the development and application of a set of bioinformatic approaches that address the challenges mentioned above. These included (i) an EM-based algorithm that improves the prediction of regulatory elements using comparative genomics data, (ii) an approach for estimating the support of protein-protein interaction data, with application to functional annotation of genes, (iii) a novel method for inferring functional network of genes, and (iv) techniques for clustering genes using multi-source data.
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Introduction: This study aimed to investigate the effects of the two peptide NOP partial agonists (UFP-113 and [F/G]N/OFQ(1-13)NH2) and the non peptide NOP partial agonist (AT-090) in the mouse emotional behavior as well as in the intracellular transduction pathways following the receptor binding. Methods: Male Swiss or CD-1 mice were used in this study together with NOP(+/+) and NOP(-/-) mice. The elevated plus maze (EPM) was used to evaluate the effects of compounds on anxiety-like behaviors. Diazepam and the NOP agonists, N/OFQ and Ro 65-6570, were used as positive controls in the EPM. NOP(+/+) and NOP(-/-) mice were used to evaluate the selectivity of those compounds that induced anxiolytic-like behaviors. The forced swim test (FST) was used to evaluate the effects of compounds on depressive-like behaviors. Nortriptyline and the NOP antagonists, UFP-101 and SB-612111, were used as positive controls in the FST. The effects of N/OFQ, UFP-101, SB-612111, UFP-113, [F/G]N/OFQ(1-13)NH2, and AT-090 were assessed in the methylphenidate-induced hyperlocomotion (MIH) test; in this assay valproate was used as positive control. The G protein and β-arrestin 2 transduction pathways of NOP receptor agonists (N/OFQ and Ro 65-6570), antagonist (UFP-101), and partial agonists (UFP-113, [F/G]N/OFQ(1-13)NH2, and AT-090) were also evaluated using an innovative assay that measures a bioluminescence resonance energy transfer process. For this, cell lines permanently co-expressing the NOP receptor coupled to luciferase (energy donor), and green fluorescent protein (energy acceptor) coupled to one of the effector proteins (G protein or β-arrestin 2) were used. Results: Diazepam (1 mg/kg), N/OFQ (1 nmol), Ro 65-6570 (0.1 mg/kg), and AT-090 (0.01 mg/kg) induced anxiolytic-like effect in mice in the EPM. The effects of Ro 65-6570 and AT-090 were selective to NOP receptor. UFP-113 (0.01-1 nmol) and [F/G]N/OFQ(1-13)NH2 (0.1-3 nmol) were inactive in the EPM. In the FST, nortriptyline (30 mg/kg), UFP-101 (10 nmol), SB-612111 (10 mg/kg), UFP-113 (0.01 and 0.1 nmol), and [F/G]N/OFQ(1-13)NH2 (0.3 and 1 nmol) induced antidepressant-like effects, while AT-090 (0.001-0.1 mg/kg) was inactive in this assay. The effects of UFP-113 and [F/G]N/OFQ(1-13)NH2 were selective to NOP receptor. Valproate (400 mg/kg) counteracted methylphenidate (MPH, 10 mg/kg)-induced hyperlocomotion in mice in the open field. N/OFQ (1 nmol), UFP-113 (0.01-0.1 nmol), and [F/G]N/OFQ(1-13)NH2 (1 nmol) were also able to reduce the MPH-induced hyperlocomotion, without changing the locomotor activity per se. The effect of UFP-113 was selective to NOP receptor. The UFP-101 (10 nmol), SB-612111 (10 mg/kg), and AT-090 (0.001-0.03 mg/kg) did not change the hyperlocomotor effect of methylphenidate. In vitro, N/OFQ and Ro 65-6570 behaved as NOP full agonists for G-protein and β-arrestin 2 pathways. AT-090 behaved as NOP receptor partial agonist for both transduction pathways, while UFP-113 and [F/G]N/OFQ(1-13)NH2 behaved as partial agonists and antagonists of NOP receptor for NOP/G protein and NOP/β-arrestin 2, respectively. UFP-101 behaved as NOP receptor antagonist for both transduction pathways. Conclusion: NOP ligands producing same effects on NOP/G protein interaction (partial agonism), but with opposite effects on β-arrestin 2 recruitment (partial agonism vs antagonism), can promote different in vivo effects on anxiety and mood as it was observed in the behavioral tests. This work corroborates the potential of NOP receptor as an innovative pharmacological target for the treatment of emotional disorders.
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Introduction: This study aimed to investigate the effects of the two peptide NOP partial agonists (UFP-113 and [F/G]N/OFQ(1-13)NH2) and the non peptide NOP partial agonist (AT-090) in the mouse emotional behavior as well as in the intracellular transduction pathways following the receptor binding. Methods: Male Swiss or CD-1 mice were used in this study together with NOP(+/+) and NOP(-/-) mice. The elevated plus maze (EPM) was used to evaluate the effects of compounds on anxiety-like behaviors. Diazepam and the NOP agonists, N/OFQ and Ro 65-6570, were used as positive controls in the EPM. NOP(+/+) and NOP(-/-) mice were used to evaluate the selectivity of those compounds that induced anxiolytic-like behaviors. The forced swim test (FST) was used to evaluate the effects of compounds on depressive-like behaviors. Nortriptyline and the NOP antagonists, UFP-101 and SB-612111, were used as positive controls in the FST. The effects of N/OFQ, UFP-101, SB-612111, UFP-113, [F/G]N/OFQ(1-13)NH2, and AT-090 were assessed in the methylphenidate-induced hyperlocomotion (MIH) test; in this assay valproate was used as positive control. The G protein and β-arrestin 2 transduction pathways of NOP receptor agonists (N/OFQ and Ro 65-6570), antagonist (UFP-101), and partial agonists (UFP-113, [F/G]N/OFQ(1-13)NH2, and AT-090) were also evaluated using an innovative assay that measures a bioluminescence resonance energy transfer process. For this, cell lines permanently co-expressing the NOP receptor coupled to luciferase (energy donor), and green fluorescent protein (energy acceptor) coupled to one of the effector proteins (G protein or β-arrestin 2) were used. Results: Diazepam (1 mg/kg), N/OFQ (1 nmol), Ro 65-6570 (0.1 mg/kg), and AT-090 (0.01 mg/kg) induced anxiolytic-like effect in mice in the EPM. The effects of Ro 65-6570 and AT-090 were selective to NOP receptor. UFP-113 (0.01-1 nmol) and [F/G]N/OFQ(1-13)NH2 (0.1-3 nmol) were inactive in the EPM. In the FST, nortriptyline (30 mg/kg), UFP-101 (10 nmol), SB-612111 (10 mg/kg), UFP-113 (0.01 and 0.1 nmol), and [F/G]N/OFQ(1-13)NH2 (0.3 and 1 nmol) induced antidepressant-like effects, while AT-090 (0.001-0.1 mg/kg) was inactive in this assay. The effects of UFP-113 and [F/G]N/OFQ(1-13)NH2 were selective to NOP receptor. Valproate (400 mg/kg) counteracted methylphenidate (MPH, 10 mg/kg)-induced hyperlocomotion in mice in the open field. N/OFQ (1 nmol), UFP-113 (0.01-0.1 nmol), and [F/G]N/OFQ(1-13)NH2 (1 nmol) were also able to reduce the MPH-induced hyperlocomotion, without changing the locomotor activity per se. The effect of UFP-113 was selective to NOP receptor. The UFP-101 (10 nmol), SB-612111 (10 mg/kg), and AT-090 (0.001-0.03 mg/kg) did not change the hyperlocomotor effect of methylphenidate. In vitro, N/OFQ and Ro 65-6570 behaved as NOP full agonists for G-protein and β-arrestin 2 pathways. AT-090 behaved as NOP receptor partial agonist for both transduction pathways, while UFP-113 and [F/G]N/OFQ(1-13)NH2 behaved as partial agonists and antagonists of NOP receptor for NOP/G protein and NOP/β-arrestin 2, respectively. UFP-101 behaved as NOP receptor antagonist for both transduction pathways. Conclusion: NOP ligands producing same effects on NOP/G protein interaction (partial agonism), but with opposite effects on β-arrestin 2 recruitment (partial agonism vs antagonism), can promote different in vivo effects on anxiety and mood as it was observed in the behavioral tests. This work corroborates the potential of NOP receptor as an innovative pharmacological target for the treatment of emotional disorders.
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G protein-coupled receptors are allosteric proteins that control transmission of external signals to regulate cellular response. Although agonist binding promotes canonical G protein signalling transmitted through conformational changes, G protein-coupled receptors also interact with other proteins. These include other G protein-coupled receptors, other receptors and channels, regulatory proteins and receptor-modifying proteins, notably receptor activity-modifying proteins (RAMPs). RAMPs have at least 11 G protein-coupled receptor partners, including many class B G protein-coupled receptors. Prototypic is the calcitonin receptor, with altered ligand specificity when co-expressed with RAMPs. To gain molecular insight into the consequences of this protein–protein interaction, we combined molecular modelling with mutagenesis of the calcitonin receptor extracellular domain, assessed in ligand binding and functional assays. Although some calcitonin receptor residues are universally important for peptide interactions (calcitonin, amylin and calcitonin gene-related peptide) in calcitonin receptor alone or with receptor activity-modifying protein, others have RAMP-dependent effects, whereby mutations decreased amylin/calcitonin gene-related peptide potency substantially only when RAMP was present. Remarkably, the key residues were completely conserved between calcitonin receptor and AMY receptors, and between subtypes of AMY receptor that have different ligand preferences. Mutations at the interface between calcitonin receptor and RAMP affected ligand pharmacology in a RAMP-dependent manner, suggesting that RAMP may allosterically influence the calcitonin receptor conformation. Supporting this, molecular dynamics simulations suggested that the calcitonin receptor extracellular N-terminal domain is more flexible in the presence of receptor activity-modifying protein 1. Thus, RAMPs may act in an allosteric manner to generate a spectrum of unique calcitonin receptor conformational states, explaining the pharmacological preferences of calcitonin receptor-RAMP complexes. This provides novel insight into our understanding of G protein-coupled receptor-protein interaction that is likely broadly applicable for this receptor class.
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Rab GTPases are the largest family of the Ras superfamily and are key regulators of membrane trafficking within the cell. There are over 60 members of the Rab family which localise to specific membrane compartments and interact with effector proteins to regulate membrane trafficking processes, such as vesicle formation, vesicle trafficking within the cell and fusion with an acceptor compartment. Multiple effector proteins have been identified for many Rabs, some of which can interact with more than one Rab to link their function at a specific membrane location or to link them together in a Rab activation cascade. Rabin8 is one such protein which is an effector for Rab11a and a Guanine nucleotide Exchange Factor (GEF) for Rab8a. Rabin8 participates in a conserved Rab activation cascade which is critical in the formation of primary cilia. Data presented in this thesis has shown that GRAB interacts with Rab3a, Rab8a, Rab11a and Rab11b in a nucleotide dependent manner. Furthermore, the minimal interacting regionbetween these proteins has been investigated. The functional outcome of GRAB knockdown has also been examined and data in this thesis highlights the phenotypic outcome.
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Functionalized diphenylalkynes provide a template for the presentation of protein-like surfaces composed of multistrand β-sheets. The conformational properties of three-, four-, and seven-stranded systems have been investigated in the solid- and solution-state. This class of molecule may be suitable for the mediation of therapeutically relevant protein-protein interactions.
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A l’heure actuelle, les biocarburants renouvelables et qui ne nuit pas à l'environnement sont à l'étude intensive en raison de l'augmentation des problèmes de santé et de la diminution des combustibles fossiles. H2 est l'un des candidats les plus prometteurs en raison de ses caractéristiques uniques, telles que la densité d'énergie élevée et la génération faible ou inexistante de polluants. Une façon attrayante pour produire la H2 est par les bactéries photosynthétiques qui peuvent capter l'énergie lumineuse pour actionner la production H2 avec leur système de nitrogénase. L'objectif principal de cette étude était d'améliorer le rendement de H2 des bactéries photosynthétiques pourpres non sulfureuses utilisant une combinaison de génie métabolique et le plan des expériences. Une hypothèse est que le rendement en H2 pourrait être améliorée par la redirection de flux de cycle du Calvin-Benson-Bassham envers du système de nitrogénase qui catalyse la réduction des protons en H2. Ainsi, un PRK, phosphoribulose kinase, mutant « knock-out » de Rhodobacter capsulatus JP91 a été créé. L’analyse de la croissance sur des différentes sources de carbone a montré que ce mutant ne peut croître qu’avec l’acétate, sans toutefois produire d' H2. Un mutant spontané, YL1, a été récupéré qui a retenu l'cbbP (codant pour PRK) mutation d'origine, mais qui avait acquis la capacité de se développer sur le glucose et produire H2. Une étude de la production H2 sous différents niveaux d'éclairage a montré que le rendement d’YL1 était de 20-40% supérieure à la souche type sauvage JP91. Cependant, il n'y avait pas d'amélioration notable du taux de production de H2. Une étude cinétique a montré que la croissance et la production d'hydrogène sont fortement liées avec des électrons à partir du glucose principalement dirigés vers la production de H2 et la formation de la biomasse. Sous des intensités lumineuses faibles à intermédiaires, la production d'acides organiques est importante, ce qui suggère une nouvelle amélioration additionnel du rendement H2 pourrait être possible grâce à l'optimisation des processus. Dans une série d'expériences associées, un autre mutant spontané, YL2, qui a un phénotype similaire à YL1, a été testé pour la croissance dans un milieu contenant de l'ammonium. Les résultats ont montré que YL2 ne peut croître que avec de l'acétate comme source de carbone, encore une fois, sans produire de H2. Une incubation prolongée dans les milieux qui ne supportent pas la croissance de YL2 a permis l'isolement de deux mutants spontanés secondaires intéressants, YL3 et YL4. L'analyse par empreint du pied Western a montré que les deux souches ont, dans une gamme de concentrations d'ammonium, l'expression constitutive de la nitrogénase. Les génomes d’YL2, YL3 et YL4 ont été séquencés afin de trouver les mutations responsables de ce phénomène. Fait intéressant, les mutations de nifA1 et nifA2 ont été trouvés dans les deux YL3 et YL4. Il est probable qu'un changement conformationnel de NifA modifie l'interaction protéine-protéine entre NifA et PII protéines (telles que GlnB ou GlnK), lui permettant d'échapper à la régulation par l'ammonium, et donc d'être capable d'activer la transcription de la nitrogénase en présence d'ammonium. On ignore comment le nitrogénase synthétisé est capable de maintenir son activité parce qu’en théorie, il devrait également être soumis à une régulation post-traductionnelle par ammonium. Une autre preuve pourrait être obtenue par l'étude du transcriptome d’YL3 et YL4. Une première étude sur la production d’ H2 par YL3 et YL4 ont montré qu'ils sont capables d’une beaucoup plus grande production d'hydrogène que JP91 en milieu d'ammonium, qui ouvre la porte pour les études futures avec ces souches en utilisant des déchets contenant de l'ammonium en tant que substrats. Enfin, le reformage biologique de l'éthanol à H2 avec la bactérie photosynthétique, Rhodopseudomonas palustris CGA009 a été examiné. La production d'éthanol avec fermentation utilisant des ressources renouvelables microbiennes a été traitée comme une technique mature. Cependant, la plupart des études du reformage de l'éthanol à H2 se sont concentrés sur le reformage chimique à la vapeur, ce qui nécessite généralement une haute charge énergetique et résultats dans les émissions de gaz toxiques. Ainsi le reformage biologique de l'éthanol à H2 avec des bactéries photosynthétiques, qui peuvent capturer la lumière pour répondre aux besoins énergétiques de cette réaction, semble d’être plus prometteuse. Une étude précédente a démontré la production d'hydrogène à partir d'éthanol, toutefois, le rendement ou la durée de cette réaction n'a pas été examiné. Une analyse RSM (méthode de surface de réponse) a été réalisée dans laquelle les concentrations de trois facteurs principaux, l'intensité lumineuse, de l'éthanol et du glutamate ont été variés. Nos résultats ont montré que près de 2 moles de H2 peuvent être obtenus à partir d'une mole d'éthanol, 33% de ce qui est théoriquement possible.
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Thesis (Ph.D.)--University of Washington, 2016-06
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Dengue fever is one of the most important mosquito-borne diseases worldwide and is caused by infection with dengue virus (DENV). The disease is endemic in tropical and sub-tropical regions and has increased remarkably in the last few decades. At present, there is no antiviral or approved vaccine against the virus. Treatment of dengue patients is usually supportive, through oral or intravenous rehydration, or by blood transfusion for more severe dengue cases. Infection of DENV in humans and mosquitoes involves a complex interplay between the virus and host factors. This results in regulation of numerous intracellular processes, such as signal transduction and gene transcription which leads to progression of disease. To understand the mechanisms underlying the disease, the study of virus and host factors is therefore essential and could lead to the identification of human proteins modulating an essential step in the virus life cycle. Knowledge of these human proteins could lead to the discovery of potential new drug targets and disease control strategies in the future. Recent advances of high throughput screening technologies have provided researchers with molecular tools to carry out investigations on a large scale. Several studies have focused on determination of the host factors during DENV infection in human and mosquito cells. For instance, a genome-wide RNA interference (RNAi) screen has identified host factors that potentially play an important role in both DENV and West Nile virus replication (Krishnan et al. 2008). In the present study, a high-throughput yeast two-hybrid screen has been utilised in order to identify human factors interacting with DENV non-structural proteins. From the screen, 94 potential human interactors were identified. These include proteins involved in immune signalling regulation, potassium voltage-gated channels, transcriptional regulators, protein transporters and endoplasmic reticulum-associated proteins. Validation of fifteen of these human interactions revealed twelve of them strongly interacted with DENV proteins. Two proteins of particular interest were selected for further investigations of functional biological systems at the molecular level. These proteins, including a nuclear-associated protein BANP and a voltage-gated potassium channel Kv1.3, both have been identified through interaction with the DENV NS2A. BANP is known to be involved in NF-kB immune signalling pathway, whereas, Kv1.3 is known to play an important role in regulating passive flow of potassium ions upon changes in the cell transmembrane potential. This study also initiated a construction of an Aedes aegypti cDNA library for use with DENV proteins in Y2H screen. However, several issues were encountered during the study which made the library unsuitable for protein interaction analysis. In parallel, innate immune signalling was also optimised for downstream analysis. Overall, the work presented in this thesis, in particular the Y2H screen provides a number of human factors potentially targeted by DENV during infection. Nonetheless, more work is required to be done in order to validate these proteins and determine their functional properties, as well as testing them with infectious DENV to establish a biological significance. In the long term, data from this study will be useful for investigating potential human factors for development of antiviral strategies against dengue.
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Fertilization is a multistep and complex process culminating in the merge of gamete membranes, cytoplasmic unity and fusion of genome. CD81 is a tetraspanin protein that participates in sperm-oocyte interaction, being present at the oocyte surface. CD81 has also been implicated in other biological processes, however its specific function and molecular mechanisms of action remain to be elucidated. The interaction between CD81 and its binding partner proteins may underlie the CD81 involvement in a variety of cellular processes and modulate CD81/interactors specific functions. Interestingly, in a Yeast two Hybrid system previously performed in our lab, CD81 has emerged as a putative interactor of the Amyloid Precursor Protein (APP). In the work here described, bioinformatics analyses of CD81 interacting proteins were performed and the retrieved information used to construct a protein-protein interaction network, as well as to perform Gene Ontology enrichment analyses. CD81 expression was further evaluated in CHO, GC-1 and SH-SY5Y cell lines, and in human sperm cells. Additionally, its subcellular localization was analyzed in sperm cells and in the neuronal-like SH-SY5Y cell line. Subsequently, coimmunoprecipitation assays were performed in CHO and SH-SY5Y cells to attempt to prove the physical interaction between CD81 and APP. A functional interaction between these two proteins was accessed thought the analyses of the effects of CD81 overexpression on APP levels. A co-localization analysis of CD81 and some interactors proteins retrieved from the bioinformatics analyses, such as APP, AKT1 and cytoskeleton-related proteins, was also performed in sperm cells and in SH-SY5Y cells. The effects of CD81 in cytoskeleton remodeling was evaluated in SH-SY5Y cells through monitoring the effects of CD81 overexpression in actin and tubulin levels, and analyzing the colocalization between overexpressed CD81 and F-actin. Our results showed that CD81 is expressed in all cell lines tested, and also provided the first evidence of the presence of CD81 in human sperm cells. CD81 immunoreactivity was predominantly detected in the sperm head, including the acrosome membrane, and in the midpiece, where it co-localized with APP, as well as in the post-acrosomal region. Furthermore, CD81 co-localizes with APP in the plasma membrane and in cellular projections in SH-SY5Y cells, where CD81 overexpression has an influence on APP levels, also visible in CHO cells. The analysis of CD81 interacting proteins such as AKT1 and cytoskeletonrelated proteins showed that CD81 is involved in a variety of pathways that may underlie cytoskeleton remodeling events, related to processes such as sperm motility, cell migration and neuritogenesis. These results deepen our understanding on the functions of CD81 and some of its interactors in sperm and neuronal cells.