993 resultados para Signalling networks


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Two-component systems (TCSs), which contain paired sensor kinase and response regulator proteins, form the primary apparatus for sensing and responding to environmental cues in bacteria. TCSs are thought to be highly specific, displaying minimal cross-talk, primarily due to the co-evolution of the participating proteins. To assess the level of cross-talk between the TCSs of Mycobacterium tuberculosis, we mapped the complete interactome of the M. tuberculosis TCSs using phosphotransfer profiling. Surprisingly, we found extensive crosstalk among the M. tuberculosis TCSs, significantly more than that in the TCSs in Escherichia coli or Caulobacter crescentus, thereby offering an alternate to specificity paradigm in TCS signalling. Nearly half of the interactions we detected were significant novel cross-interactions, unravelling a potentially complex signalling landscape. We classified the TCSs into specific `one-to-one' and promiscuous `one-to-many' and `many-to-one' circuits. Using mathematical modelling, we deduced that the promiscuous signalling observed can explain several currently confounding observations about M. tuberculosis TCSs. Our findings suggest an alternative paradigm of bacterial signalling with significant cross-talk between TCSs yielding potentially complex signalling landscapes.

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We show theoretically and experimentally a mechanismbehind the emergence of wide or bimodal protein distributions in biochemical networks with nonlinear input-output characteristics (the dose-response curve) and variability in protein abundance. Large cell-to-cell variation in the nonlinear dose-response characteristics can be beneficial to facilitate two distinct groups of response levels as opposed to a graded response. Under the circumstances that we quantify mathematically, the two distinct responses can coexist within a cellular population, leading to the emergence of a bimodal protein distribution. Using flow cytometry, we demonstrate the appearance of wide distributions in the hypoxia-inducible factor-mediated response network in HCT116 cells. With help of our theoretical framework, we perform a novel calculation of the magnitude of cell-to-cell heterogeneity in the dose-response obtained experimentally. © 2014 The Author(s) Published by the Royal Society. All rights reserved.

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The critical involvement of TGF-beta 1 (transforming growth factor-beta 1) in DN (diabetic nephropathy) is well established. However, the role of CTGF (connective tissue growth factor) in regulating the complex interplay of TGF-beta 1 signalling networks is poorly understood. The purpose of the present study was to investigate co-operative signalling between CTGF and TGF-beta 1 and its physiological significance. CTGF was determined to bind directly to the T beta RIII (TGF-beta type III receptor) and antagonize TGF-beta 1-induced Smad phosphorylation and transcriptional responses via its N-terminal half. Furthermore, TGF-beta 1 binding to its receptor was inhibited by CTGF. A consequent shift towards non-canonical TGF-beta 1 signalling and expression of a unique profile of differentially regulated genes was observed in CTGF/TGF-beta 1-treated mesangial cells. Decreased levels of Smad2/3 phosphorylation were evident in STZ (streptozotocin)-induced diabetic mice, concomitant with increased levels of CTGF Knockdown of T beta RIII restored TGF-beta 1-mediated Smad signalling and cell contractility, suggesting that T beta RIII is key for CTGF-mediated regulation of TGF-beta 1. Comparison of gene expression profiles from CTGF/TGF-beta 1-treated mesangial cells and human renal biopsy material with histological diagnosis of DN revealed significant correlation among gene clusters. In summary, mesangial cell responses to TGF-beta 1 are regulated by cross-talk with CTGF, emphasizing the potential utility of targeting CTGF in DN.

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Plants are necessarily complex systems that require monitoring of multiple environmental signals and, in response to those signals, coordination of differentiation and development of an extensive array of cell types at multiple locations. This coordination must rely on integration of long-distance signals that provide a means of communication among different plant parts. We propose that the relatively well-characterized classical phytohormones must act with several other long-distance signals to achieve this level of organization with dynamic yet measured responses. This is supported by observations that classical phytohormones: (i) operate in complex yet experimentally unresolved networks involving cross-talk and feedback, (ii) are generally multifunctional and nonspecific and hence must rely on other long-distance cues or pre-set conditions to achieve specificity and (iii) are likely to mask roles of other long-distance signals in several experimental contexts. We present evidence for involvement of novel long-distance signals in three developmental processes-branching, flowering and nodulation, and discuss the possible identities of novel signalling molecules.

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The plasma membrane is a complex, dynamic structure that provides platforms for the assembly of many signal transduction pathways. These platforms have the capacity to impose an additional level of regulation on cell signalling networks. In this review, we will consider specifically how Ras proteins interact with the plasma membrane. The focus will be on recent studies that provide novel spatial and dynamic insights into the micro-environments that different Ras proteins utilize for signal transduction. We will correlate these recent studies suggesting Ras proteins might operate within a heterogeneous plasma membrane with earlier biochemical work on Ras signal transduction.

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Nodulation in legumes provides a major conduit of available nitrogen into the biosphere. The development of nitrogen-fixing nodules results from a symbiotic interaction between soil bacteria, commonly called rhizobia, and legume plants. Molecular genetic analysis in both model and agriculturally important legume species has resulted in the identification of a variety of genes that are essential for the establishment, maintenance and regulation of this symbiosis. Autoregulation of nodulation (AON) is a major internal process by which nodule numbers are controlled through prior nodulation events. Characterisation of AON-deficient mutants has revealed a novel systemic signal transduction pathway controlled by a receptor-like kinase. This review reports our present level of understanding on the short- and long-distance signalling networks controlling early nodulation events and AON.

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The meeting was designed to explore the intersections of signalling networks regulating and supporting epithelial-mesenchymal (EMT) and mesenchymal-epithelial transitions (MET) in development, fibrosis, and cancer. Particular emphasis was placed on correlations between tissue histology and molecular drivers and markers of EMT and on the therapeutic implications of EMT.

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The development of many embryonic organs is regulated by reciprocal and sequential epithelial-mesenchymal interactions. These interactions are mediated by conserved signaling pathways that are reiteratively used. Cleidocranial dysplasia (CCD) is a congenital syndrome where both bone and tooth development is affected. The syndrome is characterized by short stature, abnormal clavicles, general bone dysplasia, and supernumerary teeth. CCD is caused by mutations in RUNX2, a transcription factor that is a key regulator of osteoblast differentiation and bone formation. The first aim of this study was to analyse the expression of a family of key signal molecules, Bone morphogenetic protein (Bmp) at different stages of tooth development. Bmps have a variety of functions and they were originally discovered as signals inducing ectopic bone formation. We performed a comparative in situ hybridisation analysis of the mRNA expression of Bmp2-7 from initiation of tooth development to differentiation of dental hard tissues. The expression patterns indicated that the Bmps signal between the epithelial and mesenchymal tissues during initiation and morphogenesis of tooth development, as well as during the differentiation of odontoblasts and ameloblasts. Furthermore, they are also part of the signalling networks whereby the enamel knot regulates the patterning of tooth cusps. The second aim was to study the role of Runx2 during tooth development and thereby to gain better understanding of the pathogenesis of the tooth phenotype in CCD. We analysed the tooth phenotype of Runx2 knockout mice and examined the patterns and regulation of Runx2 gene expression.. The teeth of wild-type and Runx2 mutant mice were compared by several methods including in situ hybridisation, tissue culture, bead implantation experiments, and epithelial-mesenchymal recombination studies. Phenotypic analysis of Runx2 -/- mutant tooth development showed that teeth failed to advance beyond the bud stage. Runx2 expression was restricted to dental mesenchyme between the bud and early bell stages of tooth development and it was regulated by epithelial signals, in particular Fgfs. We searched for downstream targets of Runx2 by comparative in situ hybridisation analysis. The expression of Fgf3 was downregulated in the mesenchyme of Runx2 -/- teeth. Shh expression was absent from the enamel knot in the lower molars of Runx2 -/- and reduced in the upper molars. In conclusion, these studies showed that Runx2 regulates key epithelial-mesenchymal interactions that control advancing tooth morphogenesis and histodifferentiation of the epithelial enamel organ. In addition, in the upper molars of Runx2 mutants extra buddings occured at the palatal side of the tooth bud. We suggest that Runx2 acts as an inhibitor of successional tooth formation by preventing advancing development of the buds. Accordingly, we propose that RUNX2 haploinsuffiency in humans causes incomplete inhibition of successional tooth formation and as a result supernumerary teeth.

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Here we describe approaches and methods to assaying in vitro the major variant bacterial sigma factor, Sigma 54 (σ54), in a purified system. We include the complete transcription system, binding interactions between σ54 and its activators, as well as the self-assembly and the critical ATPase activity of the cognate activators which serve to remodel the closed promoter complexes. We also present in vivo methodologies that are used to study the impact of physiological processes, metabolic states, global signalling networks, and cellular architecture on the control of σ54-dependent gene expression.

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Objectives Fibroblasts play a significant role as regulators of the host response in periodontal disease, responding to bacterial stimulation by producing an array of inflammatory cytokines and chemokines. LL-37, a host defence peptide, inhibits LPS-induced cytokine signalling in macrophages, suggesting an immunomodulatory role. The objective was to investigate the interaction between LL-37 and gingival fibroblasts – both its direct regulation of fibroblast activity and its effect on fibroblast response to LPS activation. Methods Human gingival fibroblasts (HGFs) were incubated for 24 hours in the presence of either P. gingivalis LPS (10µg/ml) or E. coli LPS (10ng/ml) along with LL-37 (0-50 µg/ml). IL-6 and IL-8 production by HGFs in the conditioned medium was determined by ELISA. Western blot was performed to determine the effect of LL-37 on LPS -induced IκBα degradation in HGFs following LPS stimulation over 2 hours. DNA microarray analysis was performed on cell populations incubated for 6 hr in the presence or absence of the peptide. Confirmation of LL-37 effects on specific gene expression was obtained by QPCR. Results At low concentrations (≤ 5 µg/ml) LL-37 significantly inhibited LPS-induced cytokine production by HGFs. At higher concentrations LL37 induced IL-8 production independent of LPS. Addition of LL-37 blocked LPS-induced IκBα degradation in HGFs. Microarray analysis revealed that LL-37 (50µg/ml) upregulated a significant number of cytokines and chemokines by > 5 fold. Upregulation of five of these, CXCL1, CXCL2, CXCL3, IL-24 and IL-8 was confirmed by Q-PCR. Conclusion The host defence peptide LL-37, the only known human cathelicidin, appears to have pleiotrophic effects in innate immunity. At least some of these are mediated through cytokine and chemokine signalling networks. The ability of LL-37 to reduce bacterial LPS-induced cytokine production in gingival fibroblasts, at low concentrations, suggests a potential therapeutic role in the management of periodontal disease.

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Objectives: Fibroblasts play a significant role as regulators of the host response in periodontal disease, responding to bacterial stimulation by producing an array of inflammatory cytokines and chemokines. LL-37, a host defence peptide, inhibits LPS-induced cytokine signalling in macrophages, suggesting an immunomodulatory role. The objective was to investigate the interaction between LL-37 and gingival fibroblasts – both its direct regulation of fibroblast activity and its effect on fibroblast response to LPS activation. Methods: Human gingival fibroblasts (HGFs) were incubated for 24 hours in the presence of either P. gingivalis LPS (10µg/ml) or E. coli LPS (10ng/ml) along with LL-37 (0-50 µg/ml). IL-6 and IL-8 production by HGFs in the conditioned medium was determined by ELISA. Western blot was performed to determine the effect of LL-37 on LPS -induced IκBα degradation in HGFs following LPS stimulation over 2 hours. DNA microarray analysis was performed on cell populations incubated for 6 hr in the presence or absence of the peptide. Confirmation of LL-37 effects on specific gene expression was obtained by QPCR. Results: At low concentrations (≤ 5 µg/ml) LL-37 significantly inhibited LPS-induced cytokine production by HGFs. At higher concentrations LL-37 induced IL-8 production independent of LPS. Addition of LL-37 blocked LPS-induced IκBα degradation in HGFs. Microarray analysis revealed that LL-37 (50µg/ml) upregulated a significant number of cytokines and chemokines by > 5 fold. Upregulation of five of these, CXCL1, CXCL2, CXCL3, IL-24 and IL-8 was confirmed by Q-PCR. Conclusion: The host defence peptide LL-37, the only known human cathelicidin, appears to have pleiotrophic effects in innate immunity. At least some of these are mediated through cytokine and chemokine signalling networks. The ability of LL-37 to reduce bacterial LPS-induced cytokine production in gingival fibroblasts, at low concentrations, suggests a potential therapeutic role in the management of periodontal disease.

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Les récepteurs couplés aux protéines G (RCPGs) représentent la plus grande famille de cibles thérapeutiques pour le traitement d’une panoplie de pathologies humaines. Bien que plusieurs décennies de recherche aient permis de façonner nos connaissances sur ces protéines membranaires, notre compréhension des déterminants moléculaires de leur activité signalétique reste encore limitée. De ces domaines de recherche, une avancée récente a mis à jour un nouveau phénomène, appelé sélectivité fonctionnelle des ligands, qui a bouleversé les paradigmes décrivant leu fonctionnement de ces récepteurs. Ce concept émane d’observations montrant que l’activité pharmacologique de certains ligands n’est pas nécessairement conservée sur tout le répertoire signalétiques connu du récepteur et peu se restreindre à l'activation sélective d’un sous-groupe de voies de signalisation.Ce nouveau modèle pharmacologique de l'activation des RCPG ouvre de nouvelles possibilités pour la découverte de médicaments plus efficace et sûr, ciblant les RCPGs. En effet, il permet la conception de molécules modulant spécifiquement les voies signalétiques d’intérêt thérapeutique, sans engager les autres voies qui pourraient mener à des effets secondaires indésirables ou de la tolérance. Cette thèse décrit l'utilisation d'une nouvelle approche sans marquage, basée sur la mesure du changement l'impédance cellulaire. Par la mesure des changements cellulaires, comme la morphologie, l’adhésion et/ou la redistribution des macromolécules, cette approche permet de mesurer de façon simultanée l'activité de plusieurs voies de signalisation impliqués dans ces réponses. Utilisant le récepteur β2-adrénergique (β2AR) comme modèle, nous avons démontré que les variations dans l’impédance cellulaire étaient directement liées à l’activation de multiples voies de signalisation suite à la stimulation du récepteur par son ligand. L’agoniste type du β2AR, l’isoprotérénol, s’est avéré induire une réponse d’impédance dose-dépendante constituée, dans le temps, de plusieurs caractéristiques distinctes pouvant être bloquées de façon compétitive par l’antagoniste ICI118,551 Par l’utilisation d’inhibiteurs sélectifs, nous avons été en mesure de déterminer la contribution de plusieurs voies signalétiques canoniques, comme les voies dépendantes de Gs et Gi, la production d’AMPc et l’activation de ERK1/2, sur ces changements. De plus, la dissection de la réponse d’impédance a permis d’identifier une nouvelle voie de mobilisation du Ca2+ contribuant à la réponse globale des changements initiés par la stimulation du β2AR. Dans une autre étude, nous avons rapporté que la réponse calcique induite par le β2AR serait attribuable à une transactivation Gs-dépendant du récepteur purinergique P2Y11, lui-même couplé à la protéine Gq. La mesure d’impédance permettant de distinguer et de décrire une pléiade d’activités signalétiques, nous avons émis l’hypothèse que des ligands arborant des profils signalétiques différents généreraient des réponses d’impédance distinctes. Le criblage d’une librairie de ligands spécifiques au β2AR a révélé une grande variété de signatures d’impédance. Grâce au développement d’une approche computationnelle innovatrice, nous avons été en mesure de regrouper ces signatures en cinq classes de composés, un regroupement qui s’est avéré hautement corrélé avec le profil signalétique des différents ligands. Nous avons ensuite combiné le criblage de composés par impédance avec l’utilisation d’inhibiteurs sélectifs de voies signalétiques afin d’augmenter la résolution du regroupement. En évaluant l’impact d’une voie signalétique donnée sur la signature d’impédance, nous avons été en mesure de révéler une plus grande variété de textures parmi les ligands. De plus, cette méthode s’est avérée efficace pour prédire le profil signalétique d’une librairie de composés non caractérisés, ciblant le β2AR. Ces travaux ont mené à l’élaboration d’une méthode permettant d’exprimer visuellement la sélectivité fonctionnelle de ligands et ont révélé de nouvelles classes de composés pour ce récepteur. Ces nouvelles classes de composés ont ensuite été testées sur des cardiomyocytes humains, confirmant que les composés regroupés dans différentes classes produisent des effets distincts sur la contractilité de ces cellules. Globalement, ces travaux démontrent la pertinence de l’utilisation de l’impédance cellulaire pour une évaluation précise des différences fonctionnelles parmi les composés ciblant les RCPGs. En fournissant une représentation pluridimensionnelle de la signalisation émanant des RCPGs à l’aide d’un seul essai ne requérant pas de marquage, les signatures d’impédance représentent une stratégie simple et innovante pour l’évaluation de la fonctionnalité sélective des ligands. Cette méthode pourrait être d’une grande utilité dans le processus de découverte de nouveaux médicaments.

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Les fichiers accompagnant le document sont en format Microsoft Excel 2010.

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Platelets in the circulation are triggered by vascular damage to activate, aggregate and form a thrombus that prevents excessive blood loss. Platelet activation is stringently regulated by intracellular signalling cascades, which when activated inappropriately lead to myocardial infarction and stroke. Strategies to address platelet dysfunction have included proteomics approaches which have lead to the discovery of a number of novel regulatory proteins of potential therapeutic value. Global analysis of platelet proteomes may enhance the outcome of these studies by arranging this information in a contextual manner that recapitulates established signalling complexes and predicts novel regulatory processes. Platelet signalling networks have already begun to be exploited with interrogation of protein datasets using in silico methodologies that locate functionally feasible protein clusters for subsequent biochemical validation. Characterization of these biological systems through analysis of spatial and temporal organization of component proteins is developing alongside advances in the proteomics field. This focused review highlights advances in platelet proteomics data mining approaches that complement the emerging systems biology field. We have also highlighted nucleated cell types as key examples that can inform platelet research. Therapeutic translation of these modern approaches to understanding platelet regulatory mechanisms will enable the development of novel anti-thrombotic strategies.