A targeted association study of immunity genes and networks suggests novel associations with placental malaria infection

A large proportion of the death toll associated with malaria is a consequence of malaria infection during pregnancy, causing up to 200,000 infant deaths annually. We previously published the first extensive genetic association study of placental malaria infection, and here we extend this analysis considerably, investigating genetic variation in over 9,000 SNPs in more than 1,000 genes involved in immunity and inflammation for their involvement in susceptibility to placental malaria infection. We applied a new approach incorporating results from both single gene analysis as well as gene-gene interactionson a protein-protein interaction network. We found suggestive associations of variants in the gene KLRK1 in the single geneanalysis, as well as evidence for associations of multiple members of the IL-7/IL-7R signalling cascade in the combined analysis. To our knowledge, this is the first large-scale genetic study on placental malaria infection to date, opening the door for follow-up studies trying to elucidate the genetic basis of this neglected form of malaria.

From SNPs to pathways: integration of functional effect of sequence variations on models of cell signalling pathways

Background: Single nucleotide polymorphisms (SNPs) are the most frequent type of sequence variation between individuals, and represent a promising tool for finding genetic determinants of complex diseases and understanding the differences in drug response. In this regard, it is of particular interest to study the effect of non-synonymous SNPs in the context of biological networks such as cell signalling pathways. UniProt provides curated information about the functional and phenotypic effects of sequence variation, including SNPs, as well as on mutations of protein sequences. However, no strategy has been developed to integrate this information with biological networks, with the ultimate goal of studying the impact of the functional effect of SNPs in the structure and dynamics of biological networks. Results: First, we identified the different challenges posed by the integration of the phenotypic effect of sequence variants and mutations with biological networks. Second, we developed a strategy for the combination of data extracted from public resources, such as UniProt, NCBI dbSNP, Reactome and BioModels. We generated attribute files containing phenotypic and genotypic annotations to the nodes of biological networks, which can be imported into network visualization tools such as Cytoscape. These resources allow the mapping and visualization of mutations and natural variations of human proteins and their phenotypic effect on biological networks (e.g. signalling pathways, protein-protein interaction networks, dynamic models). Finally, an example on the use of the sequence variation data in the dynamics of a network model is presented. Conclusion: In this paper we present a general strategy for the integration of pathway and sequence variation data for visualization, analysis and modelling purposes, including the study of the functional impact of protein sequence variations on the dynamics of signalling pathways. This is of particular interest when the SNP or mutation is known to be associated to disease. We expect that this approach will help in the study of the functional impact of disease-associated SNPs on the behaviour of cell signalling pathways, which ultimately will lead to a better understanding of the mechanisms underlying complex diseases.

Topological comparison of methods for predicting transcriptional cooperativity in yeast

Background: The cooperative interaction between transcription factors has a decisive role in the control of the fate of the eukaryotic cell. Computational approaches for characterizing cooperative transcription factors in yeast, however, are based on different rationales and provide a low overlap between their results. Because the wealth of information contained in protein interaction networks and regulatory networks has proven highly effective in elucidating functional relationships between proteins, we compared different sets of cooperative transcription factor pairs (predicted by four different computational methods) within the frame of those networks. Results: Our results show that the overlap between the sets of cooperative transcription factors predicted by the different methods is low yet significant. Cooperative transcription factors predicted by all methods are closer and more clustered in the protein interaction network than expected by chance. On the other hand, members of a cooperative transcription factor pair neither seemed to regulate each other nor shared similar regulatory inputs, although they do regulate similar groups of target genes. Conclusion: Despite the different definitions of transcriptional cooperativity and the different computational approaches used to characterize cooperativity between transcription factors, the analysis of their roles in the framework of the protein interaction network and the regulatory network indicates a common denominator for the predictions under study. The knowledge of the shared topological properties of cooperative transcription factor pairs in both networks can be useful not only for designing better prediction methods but also for better understanding the complexities of transcriptional control in eukaryotes.

Predicting cancer involvement of genes from heterogeneous data

Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characterize cancer, but validating their results can be a laborious task. Computational approaches are used to prioritize between genes putatively involved in cancer, usually based on further analyzing experimental data. Results: We implemented a systematic method using the PIANA software that predicts cancer involvement of genes by integrating heterogeneous datasets. Specifically, we produced lists of genes likely to be involved in cancer by relying on: (i) protein-protein interactions; (ii) differential expression data; and (iii) structural and functional properties of cancer genes. The integrative approach that combines multiple sources of data obtained positive predictive values ranging from 23% (on a list of 811 genes) to 73% (on a list of 22 genes), outperforming the use of any of the data sources alone. We analyze a list of 20 cancer gene predictions, finding that most of them have been recently linked to cancer in literature. Conclusion: Our approach to identifying and prioritizing candidate cancer genes can be used to produce lists of genes likely to be involved in cancer. Our results suggest that differential expression studies yielding high numbers of candidate cancer genes can be filtered using protein interaction networks.

Characterization of NALP2 and NALP3 IL-1β processing inflammasomes

Résumé II y a cinq ans, la découverte d'un nouveau domaine, le PYD domaine, lié aux domaines de la mort, a permis la description de la nouvelle famille des NALP protéines. L'analyse structurelle de cette famille de protéines révéla la présence de deux autres domaines, impliqués dans l'oligomerisation, NACHT, et la détection des ligands, Leucine rich repeats ou LRR. Cette architecture protéique est homologue à celle qui est décrite pour les NODs, les Tol1 récepteurs et tes protéines de résistance chez les plantes. Cette homologie suggère une possible implication des NALPs dans la régulation de l'immunité innée. Premièrement, nous avons décrit les composants minimaux qui permettent à l'inflammasomeNALP3 d'activer la caspase pro-inflammatoire, caspase-1. En comparaison à NALP1, NALP3 ne contient pas de FIIND domaine, ni de CARD domaine en C-terminus et n'interagit pas avec caspase-5. Nous avons découvert une protéine très homologue au C-terminus de NALP1, Cardinal, qui se lie au NACHT domaine de NALP2 et NALP3 par l'intermédiaire de son FIIND domaine. Cardinal possède la capacité d'interagir avec caspase-l, mais seul ASC semble être nécessaire à la maturation de la prointerleukine-1β suite à la stimulation de NALP3. Deuxièmement, notre étude s'est concentrée sur la nature du stimulus capable d'induire la formation et l'activation de l'inflammasome-NALP3. Nous avons démontré que l'ajout de muramyl dipeptide (MDP), produit à partir de la digestion enzymatique de peptidoglycaris bactériens, induit à la fois l'expression de la proIL-1β par la voie NOD2 et sa maturation en IL-1β active par la voie NALP3. Bien que le MDP active l'inflammasome-NALP3, il est incapable d'induire la sécrétion de l'IL-1β mature dans la lignée cellulaire THP1, comparé aux monocytes primaires humains. Cette différence pourrait être liée à l'absence, dans les THP1, de la protéine Filamin, qui est proposée d'interagir avec Cardinal. L'implication de NALP3 dans la maturation de l'IL-lb est confirmée suite à la découverte de mutations sur le gène CIAS1/NALP3/cryopyrin associées à trois maladies auto-inflammatoires : le syndrome de Muckle-Wells (MWS), l'urticaire familial au froid (FCU) et le syndrome CINCA/NOMID. Une élévation constitutive de la maturation et de la sécrétion de la proIL-1β en absence de stimulation MDP est détectée dans les macrophages des patients Muckle-Wells. En conclusion, nos études ont démontré que l'inflammasome-NALP3 doit être finement régulé pour éviter une activité incontrôlée qui représente la base moléculaire des symptômes associés aux syndromes auto-inflammatoires liés à NALP3. Summary Five years ago, the description of the NALP family originated from the discovery of a new death-domain fold family, the PYD domain. NALP contains aprotein-protein interaction domain (PYD), an oligomerization domain (NACHT) and a ligand-sensing domain, leucine rich repeats or LRR. This protein architecture shares similarity with receptors involved in immunity, such as NODS, Toll receptors (TLRs) and related plant resistance proteins, and points to an important role of NALPs in defense mechanisms. We first described the minimal complex involved in the pro-inflammatory Interleukin-1beta (IL-1β) cytokine maturation, called the inflammasome, which contains NALP3. In contrast to NALP1, NALP3, like other members of the NALP family, is devoid of C-terminal FIIND and CARD domains and does not interact with the pro-inflammatory caspase-5. Interestingly, a homolog of the C-terminal portion of NALP1 was found in the human genome and was named Cardinal. We found that NALP2 and NALP3 interact with the CARD-containing proteins Cardinal. Cardinal is able to bind to caspase-1 but is not required for IL-1β maturation through NALP3 activation, as demonstrated for the adaptor ASC. Secondly, our study focused on the stimuli involved in the activation of the NALP3 inflammasome. MDP was shown to induce the expression of proIL1β through NOD2 and then the maturation into active IL-1β by activation of the NALP3 inflammasome. However, in the monocytic THP1 cell line, secretion of IL-1β upon MDP stimulation seems to be independent of the inflammasome activation compared to human primary monocytes. This difference might be linked to a Cardinal-interacting protein, filamin. Until now, the role of Cardinal and filamin is still unknown and remains to be elucidated. Finally, mutations in the NALP3/cryopyrin/CIAS1 gene are associated with three autoinflammatory diseases: Muckle-Wells syndrome, familial cold autoinflammatory syndrome, and CINCA. Constitutive, elevated IL-1β maturation and secretion, even in the absence of MDP stimulation, was observed in macrophages from Muckle-Wells patients and confirmed a key role for the NALP3 inflammasome in innate immunity In conclusion, our studies describes the formation of the NALP3 inflammasome and suggests that this complex has to be tightly regulated to avoid an increased deregulated inflammasome activity that is the molecular basis for the symptoms associated with NALP3-dependent autoinflammatory disorders.

Mutations in FGF17, IL17RD, DUSP6, SPRY4, and FLRT3 Are Identified in Individuals with Congenital Hypogonadotropic Hypogonadism.

Congenital hypogonadotropic hypogonadism (CHH) and its anosmia-associated form (Kallmann syndrome [KS]) are genetically heterogeneous. Among the >15 genes implicated in these conditions, mutations in FGF8 and FGFR1 account for ∼12% of cases; notably, KAL1 and HS6ST1 are also involved in FGFR1 signaling and can be mutated in CHH. We therefore hypothesized that mutations in genes encoding a broader range of modulators of the FGFR1 pathway might contribute to the genetics of CHH as causal or modifier mutations. Thus, we aimed to (1) investigate whether CHH individuals harbor mutations in members of the so-called "FGF8 synexpression" group and (2) validate the ability of a bioinformatics algorithm on the basis of protein-protein interactome data (interactome-based affiliation scoring [IBAS]) to identify high-quality candidate genes. On the basis of sequence homology, expression, and structural and functional data, seven genes were selected and sequenced in 386 unrelated CHH individuals and 155 controls. Except for FGF18 and SPRY2, all other genes were found to be mutated in CHH individuals: FGF17 (n = 3 individuals), IL17RD (n = 8), DUSP6 (n = 5), SPRY4 (n = 14), and FLRT3 (n = 3). Independently, IBAS predicted FGF17 and IL17RD as the two top candidates in the entire proteome on the basis of a statistical test of their protein-protein interaction patterns to proteins known to be altered in CHH. Most of the FGF17 and IL17RD mutations altered protein function in vitro. IL17RD mutations were found only in KS individuals and were strongly linked to hearing loss (6/8 individuals). Mutations in genes encoding components of the FGF pathway are associated with complex modes of CHH inheritance and act primarily as contributors to an oligogenic genetic architecture underlying CHH.

BAFF, APRIL and their receptors: structure, function and signaling.

BAFF, APRIL and their receptors play important immunological roles, especially in the B cell arm of the immune system. A number of splice isoforms have been described for both ligands and receptors in this subfamily, some of which are conserved between mouse and human, while others are species-specific. Structural and mutational analyses have revealed key determinants of receptor-ligand specificity. BAFF-R has a strong selectivity for BAFF; BCMA has a higher affinity for APRIL than for BAFF, while TACI binds both ligands equally well. The molecular signaling events downstream of BAFF-R, BCMA and TACI are still incompletely characterized. Survival appears to be mediated by upregulation of Bcl-2 family members through NF-kappaB activation, degradation of the pro-apototic Bim protein, and control of subcellular localization of PCKdelta. Very little is known about other signaling events associated with receptor engagement by BAFF and APRIL that lead for example to B cell activation or to CD40L-independent Ig switch.

Fission yeast rad51 and dmc1, two efficient DNA recombinases forming helical nucleoprotein filaments.

Homologous recombination is important for the repair of double-strand breaks during meiosis. Eukaryotic cells require two homologs of Escherichia coli RecA protein, Rad51 and Dmc1, for meiotic recombination. To date, it is not clear, at the biochemical level, why two homologs of RecA are necessary during meiosis. To gain insight into this, we purified Schizosaccharomyces pombe Rad51 and Dmc1 to homogeneity. Purified Rad51 and Dmc1 form homo-oligomers, bind single-stranded DNA preferentially, and exhibit DNA-stimulated ATPase activity. Both Rad51 and Dmc1 promote the renaturation of complementary single-stranded DNA. Importantly, Rad51 and Dmc1 proteins catalyze ATP-dependent strand exchange reactions with homologous duplex DNA. Electron microscopy reveals that both S. pombe Rad51 and Dmc1 form nucleoprotein filaments. Rad51 formed helical nucleoprotein filaments on single-stranded DNA, whereas Dmc1 was found in two forms, as helical filaments and also as stacked rings. These results demonstrate that Rad51 and Dmc1 are both efficient recombinases in lower eukaryotes and reveal closer functional and structural similarities between the meiotic recombinase Dmc1 and Rad51. The DNA strand exchange activity of both Rad51 and Dmc1 is most likely critical for proper meiotic DNA double-strand break repair in lower eukaryotes.

FAM161A, associated with autosomal recessive retinitis pigmentosa,localizes at the level of the photoreceptor cilium and interacts with proteins involved in ciliopathies

Purpose: We have previously demonstrated that mutations in the FAM161A gene, encoding a protein with unknown function and no similarities with other characterized sequences, cause autosomal recessive retinitis pigmentosa (RP). The purpose of this work is to investigate the functional role of FAM161A within the retina and its relationship with other proteins involved in RP. Methods: The subcellular localization of FAM161A in the retina was assessed by immunohistochemistry of retinal sections and dissociated photoreceptors from mice, which were stained using antibodies against FAM161A and antibodies against cilium markers. The function of FAM161A was further assessed in ciliated mammalian cell lines by expression of recombinant FAM161A with various fusion tags. The binary interaction between FAM161A and a collection of ciliary and ciliopathy-associated proteins was analyzed using a yeast two-hybrid assay. The results obtained with this technique were validated using independent protein-protein interaction assays (GST-pull downs, co-transfection and co-immunoprecipitation). Results: Native FAM161A localized at the connecting cilium of photoreceptor cells, as demonstrated by immunofluorescence in both dissociated photoreceptors and retinal sections of mice. More specifically, co-staining with markers for ciliary sub-structures (RPGRIP1L, Centrin, RP1, GT335) demonstrated that FAM161A decorated the basal body and the very apical part of the connecting cilium. Upon overexpression in ciliated cultured mammalian cells, FAM161A localized to the ciliary basal body. Yeast two-hybrid analysis of the binary interaction of FAM161A and an array of ciliary proteins revealed the direct interaction of FAM161A with three proteins of which the cognate genes are mutated in retinal ciliopathies. The confirmation of these interactions using different biochemical assays is currently in progress. Conclusions: FAM161A is a ciliary basal body protein of the photoreceptor connecting cilium, rendering the associated RP as a novel retinal ciliopathy. The confined expression of FAM161A in the retina and the direct interaction of FAM161A with other retinal ciliopathy-associated proteins may explain the retinal phenotype of this specific subset of mechanistically and phenotypically connected retinal disorders.

Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.

BACKGROUND: Molecular interaction Information is a key resource in modern biomedical research. Publicly available data have previously been provided in a broad array of diverse formats, making access to this very difficult. The publication and wide implementation of the Human Proteome Organisation Proteomics Standards Initiative Molecular Interactions (HUPO PSI-MI) format in 2004 was a major step towards the establishment of a single, unified format by which molecular interactions should be presented, but focused purely on protein-protein interactions. RESULTS: The HUPO-PSI has further developed the PSI-MI XML schema to enable the description of interactions between a wider range of molecular types, for example nucleic acids, chemical entities, and molecular complexes. Extensive details about each supported molecular interaction can now be captured, including the biological role of each molecule within that interaction, detailed description of interacting domains, and the kinetic parameters of the interaction. The format is supported by data management and analysis tools and has been adopted by major interaction data providers. Additionally, a simpler, tab-delimited format MITAB2.5 has been developed for the benefit of users who require only minimal information in an easy to access configuration. CONCLUSION: The PSI-MI XML2.5 and MITAB2.5 formats have been jointly developed by interaction data producers and providers from both the academic and commercial sector, and are already widely implemented and well supported by an active development community. PSI-MI XML2.5 enables the description of highly detailed molecular interaction data and facilitates data exchange between databases and users without loss of information. MITAB2.5 is a simpler format appropriate for fast Perl parsing or loading into Microsoft Excel.

Identification of novel and cell type enriched cofactors of the transcription activation domain of RelA (p65 NF-kappaB).

RelA (NF-kappaB) is a transcription factor inducible by distinct stimuli in many different cell types. To find new cell type specific cofactors of NF-kappaB dependent transcription, we isolated RelA transcription activation domain binding proteins from the nuclear extracts of three different cell types. Analysis by electrophoresis and liquid chromatography tandem mass spectrometry identified several novel putative molecular partners. Some were strongly enriched in the complex formed from the nuclear extracts of specific cell types.

Bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver disease.

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.

Mécanismes moléculaires de l'homodimérisation de la protéine Scaffold IB1 et son implication dans la sécrétion d'insuline

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.

A system-level, molecular evolutionary analysis of mammalian phototransduction

Visual perception is initiated in the photoreceptor cells of the retina via the phototransduction system.This system has shown marked evolution during mammalian divergence in such complex attributes as activation time and recovery time. We have performed a molecular evolutionary analysis of proteins involved in mammalianphototransduction in order to unravel how the action of natural selection has been distributed throughout thesystem to evolve such traits. We found selective pressures to be non-randomly distributed according to both a simple protein classification scheme and a protein-interaction network representation of the signaling pathway. Proteins which are topologically central in the signaling pathway, such as the G proteins, as well as retinoid cycle chaperones and proteins involved in photoreceptor cell-type determination, were found to be more constrained in their evolution. Proteins peripheral to the pathway, such as ion channels and exchangers, as well as the retinoid cycle enzymes, have experienced a relaxation of selective pressures. Furthermore, signals of positive selection were detected in two genes: the short-wave (blue) opsin (OPN1SW) in hominids and the rod-specific Na+/Ca2+,K+ ion exchanger (SLC24A1) in rodents. The functions of the proteins involved in phototransduction and the topology of the interactions between them have imposed non-random constraints on their evolution. Thus, in shaping or conserving system-level phototransduction traits, natural selection has targeted the underlying proteins in a concerted manner.

PDZ domain-binding motif regulates cardiomyocyte compartment-specific NaV1.5 channel expression and function.

BACKGROUND: Sodium channel NaV1.5 underlies cardiac excitability and conduction. The last 3 residues of NaV1.5 (Ser-Ile-Val) constitute a PDZ domain-binding motif that interacts with PDZ proteins such as syntrophins and SAP97 at different locations within the cardiomyocyte, thus defining distinct pools of NaV1.5 multiprotein complexes. Here, we explored the in vivo and clinical impact of this motif through characterization of mutant mice and genetic screening of patients. METHODS AND RESULTS: To investigate in vivo the regulatory role of this motif, we generated knock-in mice lacking the SIV domain (ΔSIV). ΔSIV mice displayed reduced NaV1.5 expression and sodium current (INa), specifically at the lateral myocyte membrane, whereas NaV1.5 expression and INa at the intercalated disks were unaffected. Optical mapping of ΔSIV hearts revealed that ventricular conduction velocity was preferentially decreased in the transversal direction to myocardial fiber orientation, leading to increased anisotropy of ventricular conduction. Internalization of wild-type and ΔSIV channels was unchanged in HEK293 cells. However, the proteasome inhibitor MG132 rescued ΔSIV INa, suggesting that the SIV motif is important for regulation of NaV1.5 degradation. A missense mutation within the SIV motif (p.V2016M) was identified in a patient with Brugada syndrome. The mutation decreased NaV1.5 cell surface expression and INa when expressed in HEK293 cells. CONCLUSIONS: Our results demonstrate the in vivo significance of the PDZ domain-binding motif in the correct expression of NaV1.5 at the lateral cardiomyocyte membrane and underline the functional role of lateral NaV1.5 in ventricular conduction. Furthermore, we reveal a clinical relevance of the SIV motif in cardiac disease.