940 resultados para Protein Interaction Domains and Motifs


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AIMS/HYPOTHESIS: The molecular mechanisms of obesity-related insulin resistance are incompletely understood. Macrophages accumulate in adipose tissue of obese individuals. In obesity, monocyte chemoattractant protein-1 (MCP-1), a key chemokine in the process of macrophage accumulation, is overexpressed in adipose tissue. MCP-1 is an insulin-responsive gene that continues to respond to exogenous insulin in insulin-resistant adipocytes and mice. MCP-1 decreases insulin-stimulated glucose uptake into adipocytes. The A-2518G polymorphism in the distal regulatory region of MCP-1 may regulate gene expression. The aim of this study was to investigate the impact of this gene polymorphism on insulin resistance. METHODS: We genotyped the Ludwigshafen Risk and Cardiovascular Health (LURIC) cohort ( n=3307). Insulin resistance, estimated by homeostasis model assessment, and Type 2 diabetes were diagnosed in 803 and 635 patients respectively. RESULTS: Univariate analysis revealed that plasma MCP-1 levels were significantly and positively correlated with WHR ( p=0.011), insulin resistance ( p=0.0097) and diabetes ( p<0.0001). Presence of the MCP-1 G-2518 allele was associated with decreased plasma MCP-1 ( p=0.017), a decreased prevalence of insulin resistance (odds ratio [OR]=0.82, 95% CI: 0.70-0.97, p=0.021) and a decreased prevalence of diabetes (OR=0.80, 95% CI: 0.67-0.96, p=0.014). In multivariate analysis, the G allele retained statistical significance as a negative predictor of insulin resistance (OR=0.78, 95% CI: 0.65-0.93, p=0.0060) and diabetes (OR=0.80, 95% CI: 0.66-0.96, p=0.018). CONCLUSIONS/INTERPRETATION: In a large cohort of Caucasians, the MCP-1 G-2518 gene variant was significantly and negatively correlated with plasma MCP-1 levels and the prevalence of insulin resistance and Type 2 diabetes. These results add to recent evidence supporting a role for MCP-1 in pathologies associated with hyperinsulinaemia.

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In this paper we propose a novel unsupervised approach to learning domain-specific ontologies from large open-domain text collections. The method is based on the joint exploitation of Semantic Domains and Super Sense Tagging for Information Retrieval tasks. Our approach is able to retrieve domain specific terms and concepts while associating them with a set of high level ontological types, named supersenses, providing flat ontologies characterized by very high accuracy and pertinence to the domain.

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We previously reported that hepatitis B virus (HBV) e antigen (HBeAg) inhibits production of interleukin 6 by suppressing NF-κB activation. NF-κB is known to be activated through receptor-interacting serine/threonine protein kinase 2 (RIPK2), and we examined the mechanisms of interleukin 6 regulation by HBeAg. HBeAg inhibits RIPK2 expression and interacts with RIPK2, which may represent 2 mechanisms through which HBeAg blocks nucleotide-binding oligomerization domain-containing protein 1 ligand-induced NF-κB activation in HepG2 cells. Our findings identified novel molecular mechanisms whereby HBeAg modulates intracellular signaling pathways by targeting RIPK2, supporting the concept that HBeAg could impair both innate and adaptive immune responses to promote chronic HBV infection.

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Interaction analysis is not a prerogative of any discipline in social sciences. It has its own history within each disciplinary field and is related to specific research objects. From the standpoint of psychology, this article first draws upon a distinction between factorial and dialogical conceptions of interaction. It then briefly presents the basis of a dialogical approach in psychology and focuses upon four basic assumptions. Each of them is examined on a theoretical and on a methodological level with a leading question: to what extent is it possible to develop analytical tools that are fully coherent with dialogical assumptions? The conclusion stresses the difficulty of developing methodological tools that are fully consistent with dialogical assumptions and argues that there is an unavoidable tension between accounting for the complexity of an interaction and using methodological tools which necessarily "monologise" this complexity.

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ObjectiveCandidate genes for non-alcoholic fatty liver disease (NAFLD) identified by a bioinformatics approach were examined for variant associations to quantitative traits of NAFLD-related phenotypes.Research Design and MethodsBy integrating public database text mining, trans-organism protein-protein interaction transferal, and information on liver protein expression a protein-protein interaction network was constructed and from this a smaller isolated interactome was identified. Five genes from this interactome were selected for genetic analysis. Twenty-one tag single-nucleotide polymorphisms (SNPs) which captured all common variation in these genes were genotyped in 10,196 Danes, and analyzed for association with NAFLD-related quantitative traits, type 2 diabetes (T2D), central obesity, and WHO-defined metabolic syndrome (MetS).Results273 genes were included in the protein-protein interaction analysis and EHHADH, ECHS1, HADHA, HADHB, and ACADL were selected for further examination. A total of 10 nominal statistical significant associations (P<0.05) to quantitative metabolic traits were identified. Also, the case-control study showed associations between variation in the five genes and T2D, central obesity, and MetS, respectively. Bonferroni adjustments for multiple testing negated all associations.ConclusionsUsing a bioinformatics approach we identified five candidate genes for NAFLD. However, we failed to provide evidence of associations with major effects between SNPs in these five genes and NAFLD-related quantitative traits, T2D, central obesity, and MetS.

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The major processes discussed below are protein turnover (degradation and synthesis), degradation into urea, or conversion into glucose (gluconeogenesis, Figure 1). Daily protein turnover is a dynamic process characterized by a double flux of amino acids: the amino acids released by endogenous (body) protein breakdown can be reutilized and reconverted to protein synthesis, with very little loss. Daily rates of protein turnover in humans (300 to 400 g per day) are largely in excess of the level of protein intake (50 to 80 g per day). A fast growing rate, as in premature babies or in children recovering from malnutrition, leads to a high protein turnover rate and a high protein and energy requirement. Protein metabolism (synthesis and breakdown) is an energy-requiring process, dependent upon endogenous ATP supply. The contribution made by whole-body protein turnover to the resting metabolic rate is important: it represents about 20 % in adults and more in growing children. Metabolism of proteins cannot be disconnected from that of energy since energy balance influences net protein utilization, and since protein intake has an important effect on postprandial thermogenesis - more important than that of fats or carbohydrates. The metabolic need for amino acids is essentially to maintain stores of endogenous tissue proteins within an appropriate range, allowing protein homeostasis to be maintained. Thanks to a dynamic, free amino acid pool, this demand for amino acids can be continuously supplied. The size of the free amino acid pool remains limited and is regulated within narrow limits. The supply of amino acids to cover physiological needs can be derived from 3 sources: 1. Exogenous proteins that release amino acids after digestion and absorption 2. Tissue protein breakdown during protein turnover 3. De novo synthesis, including amino acids (as well as ammonia) derived from the process of urea salvage, following hydrolysis and microflora metabolism in the hind gut. When protein intake surpasses the physiological needs of amino acids, the excess amino acids are disposed of by three major processes: 1. Increased oxidation, with terminal end products such as CO₂ and ammonia 2. Enhanced ureagenesis i. e. synthesis of urea linked to protein oxidation eliminates the nitrogen radical 3. Gluconeogenesis, i. e. de novo synthesis of glucose. Most of the amino groups of the excess amino acids are converted into urea through the urea cycle, whereas their carbon skeletons are transformed into other intermediates, mostly glucose. This is one of the mechanisms, essential for life, developed by the body to maintain blood glucose within a narrow range, (i. e. glucose homeostasis). It includes the process of gluconeogenesis, i. e. de novo synthesis of glucose from non-glycogenic precursors; in particular certain specific amino acids (for example, alanine), as well as glycerol (derived from fat breakdown) and lactate (derived from muscles). The gluconeogenetic pathway progressively takes over when the supply of glucose from exogenous or endogenous sources (glycogenolysis) becomes insufficient. This process becomes vital during periods of metabolic stress, such as starvation.

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Penicillin resistance in Streptococcus spp. involves multiple mutations in both penicillin-binding proteins (PBPs) and non-PBP genes. Here, we studied the development of penicillin resistance in the oral commensal Streptococcus gordonii. Cyclic exposure of bacteria to twofold-increasing penicillin concentrations selected for a progressive 250- to 500-fold MIC increase (from 0.008 to between 2 and 4 microg/ml). The major MIC increase (> or = 35-fold) was related to non-PBP mutations, whereas PBP mutations accounted only for a 4- to 8-fold additional increase. PBP mutations occurred in class B PBPs 2X and 2B, which carry a transpeptidase domain, but not in class A PBP 1A, 1B, or 2A, which carry an additional transglycosylase domain. Therefore, we tested whether inactivation of class A PBPs affected resistance development in spite of the absence of mutations. Deletion of PBP 1A or 2A profoundly slowed down resistance development but only moderately affected resistance in already highly resistant mutants (MIC = 2 to 4 microg/ml). Thus, class A PBPs might facilitate early development of resistance by stabilizing penicillin-altered peptidoglycan via transglycosylation, whereas they might be less indispensable in highly resistant mutants which have reestablished a penicillin-insensitive cell wall-building machinery. The contribution of PBP and non-PBP mutations alone could be individualized in DNA transformation. Both PBP and non-PBP mutations conferred some level of intrinsic resistance, but combining the mutations synergized them to ensure high-level resistance (> or = 2 microg/ml). The results underline the complexity of penicillin resistance development and suggest that inhibition of transglycosylase might be an as yet underestimated way to interfere with early resistance development.

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Vision provides a primary sensory input for food perception. It raises expectations on taste and nutritional value and drives acceptance or rejection. So far, the impact of visual food cues varying in energy content on subsequent taste integration remains unexplored. Using electrical neuroimaging, we assessed whether high- and low-calorie food cues differentially influence the brain processing and perception of a subsequent neutral electric taste. When viewing high-calorie food images, participants reported the subsequent taste to be more pleasant than when low-calorie food images preceded the identical taste. Moreover, the taste-evoked neural activity was stronger in the bilateral insula and the adjacent frontal operculum (FOP) within 100 ms after taste onset when preceded by high- versus low-calorie cues. A similar pattern evolved in the anterior cingulate (ACC) and medial orbitofrontal cortex (OFC) around 180 ms, as well as, in the right insula, around 360 ms. The activation differences in the OFC correlated positively with changes in taste pleasantness, a finding that is an accord with the role of the OFC in the hedonic evaluation of taste. Later activation differences in the right insula likely indicate revaluation of interoceptive taste awareness. Our findings reveal previously unknown mechanisms of cross-modal, visual-gustatory, sensory interactions underlying food evaluation.

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Claudin-1 (CLDN1) is a structural tight junction (TJ) protein and is expressed in differentiating keratinocytes and Langerhans cells in the epidermis. Our objective was to identify immunoreactive CLDN1 in human epidermal Langerhans cells and to examine the pattern of epidermal Langerhans cells in genetic human CLDN1 deficiency [neonatal ichthyosis, sclerosing cholangitis (NISCH) syndrome]. Epidermal cells from healthy human skin labelled with CLDN1-specific antibodies were analysed by confocal laser immunofluorescence microscopy and flow cytometry. Skin biopsy sections of two patients with NISCH syndrome were stained with an antibody to CD1a expressed on epidermal Langerhans cells. Epidermal Langerhans cells and a subpopulation of keratinocytes from healthy skin were positive for CLDN1. The gross number and distribution of epidermal Langerhans cells of two patients with molecularly confirmed NISCH syndrome, however, was not grossly altered. Therefore, CLDN1 is unlikely to play a critical role in migration of Langerhans cells (or their precursors) to the epidermis or their positioning within the epidermis. Our findings do not exclude a role of this TJ molecule once Langerhans cells have left the epidermis for draining lymph nodes.

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RÉSUMÉ Les kinases activées par des mitogènes (MAPKs) constituent une importante famille d'enzymes conservée dans l'évolution. Elles forment un réseau de signalisation qui permet à la cellule de réguler spécifiquement divers processus impliqués dans la différenciation, la survie ou l'apoptose. Les kinases formant le module MAPK sont typiquement disposées en cascades de trois partenaires qui s'activent séquentiellement par phosphorylation. Le module minimum est constitué d'une MAPK kinase kinase (MAPKKK), d'une MAPK kinase (MAPKK) et d'une MAPK. Une fois activée, la MAPK phosphoryle différents substrats tels que des facteurs de transcription ou d'autres protéines. Chez les mammifères, trois groupes principaux de MAPKs ont été identifiés. Il s'agit du groupe des kinases régulées par des signaux extracellulaires du type «mitogènes » (ERK), ainsi que des groupes p38 et cJun NH2-terminal kinase (JNK), ou SAPK pour stress activated protein kinase, plutôt activées par des stimuli de type «stress ». De nombreuses études ont impliqué JNK dans la régulation de différents processus physiologiques et pathologiques, comme le diabète, les arthrites rhumatoïdes, l'athérosclérose, l'attaque cérébrale, les maladies de Parkinson et d'Alzheimer. JNK, en particulier joue un rôle dans la mort des cellules sécrétrices d'insuline induite par l'interleukine (IL)-1 β, lors du développement du diabète de type 1. IB1 est une protéine scaffold (échafaud) qui participe à l'organisation du module de JNK. IB1 est fortement exprimée dans les neurones et les cellules β du pancréas. Elle a été impliquée dans la survie des cellules, la régulation de l'expression du transporteur du glucose de type 2 (Glut-2) et dans le processus de sécrétion d'insuline glucose-dépendante. IBl est caractérisée par plusieurs domaines d'interaction protéine-protéine : un domaine de liaison à JNK (JBD), un domaine homologue au domaine 3 de Src (SH3) et un domaine d'interaction avec des tyrosines phosphorylées (PID). Des partenaires d'IB1, incluant les membres de la familles des kinases de lignée mélangée (MLKs), la MAPKK MKK7, la phosphatase 7 des MAPKs (MKP-7) ainsi que la chaîne légère de la kinésine, ont été isolés. Tous ces facteurs, sauf les MLKs et MKK7 interagissent avec le domaine PID ou l'extrême partie C-terminale d'IBl (la chaîne légère de la kinésine). Comme d'autres protéines scaffolds déjà décrites, IBl et un autre membre de la famille, IB2, sont capables d'homo- et d'hétérodimériser. L'interaction a lieu par l'intermédiaire de leur région C-terminale, contenant les domaines SH3 et PID. Mais ni le mécanisme moléculaire, ni la fonction de la dimérisation n'ont été caractérisés. Le domaine SH3 joue un rôle central lors de l'assemblage de complexes de macromolécules impliquées dans la signalisation intracellulaire. Il reconnaît de préférence des ligands contenant un motif riche en proline de type PxxP et s'y lie. Jusqu'à maintenant, tous les ligands isolés se liant à un domaine SH3 sont linéaires. Bien que le domaine SH3 soit un domaine important de la transmission des signaux, aucun partenaire interagissant spécifiquement avec le domaine SH3 d'IB1 n'a été identifié. Nous avons démontré qu'IBl homodimérisait par un nouveau set unique d'interaction domaine SH3 - domaine SH3. Les études de cristallisation ont démontré que l'interface recouvrait une région généralement impliquée dans la reconnaissance classique d'un motif riche en proline de type PxxP, bien que le domaine SH3 d'IB1 ne contienne aucun motif PxxP. L'homodimère d'IB1 semble extrêmement stable. Il peut cependant être déstabilisé par trois mutations ponctuelles dirigées contre des résidus clés impliqués dans la dimérisation. Chaque mutation réduit l'activation basale de JNK dépendante d'IB 1 dans des cellules 293T. La déstabilisation de la dimérisation induite par la sur-expression du domaine SH3, provoque une diminution de la sécrétion d'insuline glucose dépendant. SUMMARY Mitogen activated kinases (MAPK) are an important and conserved enzyme family. They form a signaling network required to specifically regulate process involved in cell differentiation, proliferation or death. A MAPK module is typically organized in a threekinase cascade which are activated by sequential phosphorylation. The MAPK kinase kinase (MAPKKK), the MAPK kinase (MAPKK) and the MAPK constitute the minimal module. Once activated, the MAPK phosphorylates its targets like transcription factors or other proteins. In mammals, three major groups of MAPKs have been identified : the group of extra-cellular regulated kinase (ERK) which is activated by mitogens and the group of p38 and cJun NH2-terminal kinase (JNK) or SAPK for stress activated protein kinase, which are activated by stresses. Many studies implicated JNK in many physiological or pathological process regulations, like diabetes, rheumatoid arthritis, arteriosclerosis, strokes or Parkinson and Alzheimer disease. In particular, JNK plays a crucial role in pancreatic β cell death induced by Interleukin (IL)-1 β in type 1 diabetes. Islet-brain 1 (IB 1) is a scaffold protein that interacts with components of the JNK signal-transduction pathway. IB 1 is expressed at high levels in neurons and in pancreatic β-cells, where it has been implicated in cell survival, in regulating expression of the glucose transporter type 2 (Glut-2) and in glucose-induced insulin secretion. It contains several protein-protein interaction domains, including a JNK-binding domain (JBD), a Src homology 3 domain (SH3) and a phosphotyrosine interaction domain (PID). Proteins that have been shown to associate with IB 1 include members of the Mixed lineage kinase family (MLKs), the MAPKK MKK7, the MAPK phosphatase-7 MKP7, as well as several other ligands including kinesin light chain, LDL receptor related family members and the amyloid precursor protein APP. All these factors, except MLK3 and MKK7 have been shown to interact with the PID domain or the extreme C-terminal part (Kinesin light chain) of IB 1. As some scaffold already described, IB 1 and another member of the family, IB2, have previously been shown to engage in oligomerization through their respective C-terminal regions that include the SH3 and PID domains. But neither the molecular mechanisms nor the function of dimerization have yet been characterized. SH3 domains are central in the assembly of macromolecular complexes involved in many intracellular signaling pathways. SH3 domains are usually characterized by their preferred recognition of and association with canonical PxxP motif. In all these cases, a single linear sequence is sufficient for binding to the SH3 domain. However, although SH3 domains are important elements of signal transduction, no protein that interacts specifically with the SH3 domain of IB 1 has been identified so far. Here, we show that IB 1 homodimerizes through a navel and unique set of SH3-SH3 interactions. X-ray crystallography studies indicate that the dieter interface covers a region usually engaged in PxxP-mediated ligand recognition, even though the IB 1 SH3 domain lacks this motif. The highly stable IB 1 homodimer can be significantly destabilized in vitro by individual point-mutations directed against key residues involved in dimerization. Each mutation reduces IB 1-dependent basal JNK activity in 293T cells. Impaired dimerization induced by over-expression of the SH3 domain also results in a significant reduction in glucose-dependent insulin secretion in pancreatic β-cells.