Cadherin tales: Regulation of cadherin function by endocytic membrane trafficking

Cadherins are the primary adhesion molecules in adherens junctions and desmosomes and play essential roles in embryonic development. Although significant progress has been made in understanding cadherin structure and function, we lack a clear vision of how cells confer plasticity upon adhesive junctions to allow for cellular rearrangements during development, wound healing and metastasis. Endocytic membrane trafficking has emerged as a fundamental mechanism by which cells confer a dynamic state to adhesive junctions. Recent studies indicate that the juxtamembrane domain of classical cadherins contains multiple endocytic motifs, or “switches,” that can be used by cellular membrane trafficking machinery to regulate adhesion. The cadherin‐binding protein p120‐catenin (p120) appears to be the master regulator of access to these switches, thereby controlling cadherin endocytosis and turnover. This review focuses on p120 and other cadherin‐binding proteins, ubiquitin ligases, and growth factors as key modulators of cadherin membrane trafficking.      

Altered expression of the catenin p120 in human cancer: implications for tumor progression

Tumor progression in epithelial tissues is characterized by a series of genetic and epigenetic changes that lead ultimately to metastasis. Alterations in E-cadherin and its cytoplasmic regulators, the catenins, have been implicated as central to this process. Here, we focus on p120-catenin and its rising incidence in the pathology literature as a molecule altered in human tumors. The data show that p120 is frequently altered and/or lost in tumors of the colon, bladder, stomach, breast, prostate, lung, and pancreas. Moreover, in some cases p120 loss appears to be an early event in tumor progression, possibly preceding loss of E-cadherin. Potential roles of p120 as a tumor suppressor or metastasis promoter are discussed.     

Protein interactions within the TcZFP zinc finger family members of Trypanosoma cruzi: implications for their functions

The small zinc finger proteins tbZFP1 and tbZFP2 have been implicated in the control of Trypanosoma brucei differentiation to the procyclic form. Here, we report that the complete ZFP family in Trypanosoma cruzi is composed by four members, ZFP1A and B, and ZFP2A and B. ZFP1B is a paralog specific gene restricted to T. cruzi, while the ZFP2A and B paralogs diverged prior to the trypanosomatid lineage separation. Moreover, we demonstrate that TcZFP1 and TcZFP2 members interact with each other and that this interaction is mediated by a WW domain in TcZFP2. Also, TcZFP2B strongly homodimerizes by a glycine rich region absent in TcZFP2A. We propose a model to discuss the relevance of these protein-protein interactions in terms of the functions of these proteins.     

Electrostatic contributions to protein-protein interactions: fast energetic filters for docking and their physical basis

The methods of continuum electrostatics are used to calculate the binding free energies of a set of protein-protein complexes including experimentally determined structures as well as other orientations generated by a fast docking algorithm. In the native structures, charged groups that are deeply buried were often found to favor complex formation (relative to isosteric nonpolar groups), whereas in nonnative complexes generated by a geometric docking algorithm, they were equally likely to be stabilizing as destabilizing. These observations were used to design a new filter for screening docked conformations that was applied, in conjunction with a number of geometric filters that assess shape complementarity, to 15 antibody-antigen complexes and 14 enzyme-inhibitor complexes. For the bound docking problem, which is the major focus of this paper, native and near-native solutions were ranked first or second in all but two enzyme-inhibitor complexes. Less success was encountered for antibody-antigen complexes, but in all cases studied, the more complete free energy evaluation was able to identify native and near-native structures. A filter based on the enrichment of tyrosines and tryptophans in antibody binding sites was applied to the antibody-antigen complexes and resulted in a native and near-native solution being ranked first and second in all cases. A clear improvement over previously reported results was obtained for the unbound antibody-antigen examples as well. The algorithm and various filters used in this work are quite efficient and are able to reduce the number of plausible docking orientations to a size small enough so that a final more complete free energy evaluation on the reduced set becomes computationally feasible.     

INDI: a computational framework for inferring drug interactions and their associated recommendations

Inferring drug–drug interactions (DDIs) is an essential step in drug development and drug administration. Most computational inference methods focus on modeling drug pharmacokinetics, aiming at interactions that result from a common metabolizing enzyme (CYP). Here, we introduce a novel prediction method, INDI (INferring Drug Interactions), allowing the inference of both pharmacokinetic, CYP‐related DDIs (along with their associated CYPs) and pharmacodynamic, non‐CYP associated ones. On cross validation, it obtains high specificity and sensitivity levels (AUC (area under the receiver‐operating characteristic curve)?0.93). In application to the FDA adverse event reporting system, 53% of the drug events could potentially be connected to known (41%) or predicted (12%) DDIs. Additionally, INDI predicts the severity level of each DDI upon co‐administration of the involved drugs, suggesting that severe interactions are abundant in the clinical practice. Examining regularly taken medications by hospitalized patients, 18% of the patients receive known or predicted severely interacting drugs and are hospitalized more frequently. Access to INDI and its predictions is provided via a web tool at http://www.cs.tau.ac.il/～bnet/software/INDI , facilitating the inference and exploration of drug interactions and providing important leads for physicians and pharmaceutical companies alike.     

PLEKHA7 defines an apical junctional complex with cytoskeletal associations and miRNA-mediated growth implications

E-cadherin-p120 catenin complexes are essential for adherens junction (AJ) formation and for the maintenance of the normal epithelial phenotype. PLEKHA7 was originally identified as a member of this complex that tethers microtubules to the AJs and supports their overall integrity. Recently, we revealed that PLEKHA7 regulates cellular behavior via miRNAs by associating with the microprocessor complex at the apical zonula adherens (ZA). We have also identified a new set of PLEKHA7 interacting partners at the apical ZA, via proteomics. Our analysis shows that the main groups of proteins associating with PLEKHA7 are cytoskeletal-related and RNA-binding proteins. Here, we provide extended evidence for association of PLEKHA7 with several of these proteins. We also show that PLEKHA7 loss activates the actin regulator cofilin in a p120-dependent manner, providing an explanation for the effects of PLEKHA7 on the cortical actin ring. Interestingly, PLEKHA7 regulates the levels and associates with PP1α, a phosphatase responsible for cofilin activation. Finally, we clarify the mode of regulation of the oncogenic miR-19a by PLEKHA7. Overall, our findings support a multi-layered role of PLEKHA7 in converging cytoskeletal dynamics and miRNA-mediated growth regulation at the ZA, with potentially critical implications in cancer that warrant further investigation.     

Protein charge determination and implications for interactions in cell extracts

Decades of dilute‐solution studies have revealed the influence of charged residues on protein stability, solubility and stickiness. Similar characterizations are now required in physiological solutions to understand the effect of charge on protein behavior under native conditions. Toward this end, we used free boundary and native gel electrophoresis to explore the charge of cytochrome c in buffer and in Escherichia coli extracts. We find that the charge of cytochrome c was ～2‐fold lower than predicted from primary structure analysis. Cytochrome c charge was tuned by sulfate binding and was rendered anionic in E. coli extracts due to interactions with macroanions. Mutants in which three or four cationic residues were replaced with glutamate were charge‐neutral and “inert” in extracts. A comparison of the interaction propensities of cytochrome c and the mutants emphasizes the role of negative charge in stabilizing physiological environments. Charge–charge repulsion and preferential hydration appear to prevent aggregation. The implications for molecular organization in vivo are discussed.     

Patterns of protein protein interactions in salt solutions and implications for protein crystallization

The second osmotic virial coefficients of seven proteins-ovalbumin, ribonuclease A, bovine serum albumin, alpha-lactalbumin, myoglobin, cytochrome c, and catalase-were measured in salt solutions. Comparison of the interaction trends in terms of the dimensionless second virial coefficient b(2) shows that, at low salt concentrations, protein-protein interactions can be either attractive or repulsive, possibly due to the anisotropy of the protein charge distribution. At high salt concentrations, the behavior depends on the salt: In sodium chloride, protein interactions generally show little salt dependence up to very high salt concentrations, whereas in ammonium sulfate, proteins show a sharp drop in b(2) with increasing salt concentration beyond a particular threshold. The experimental phase behavior of the proteins corroborates these observations in that precipitation always follows the drop in b(2). When the proteins crystallize, they do so at slightly lower salt concentrations than seen for precipitation. The b(2) measurements were extended to other salts for ovalbumin and catalase. The trends follow the Hofmeister series, and the effect of the salt can be interpreted as a water-mediated effect between the protein and salt molecules. The b(2) trends quantify protein-protein interactions and provide some understanding of the corresponding phase behavior. The results explain both why ammonium sulfate is among the best crystallization agents, as well as some of the difficulties that can be encountered in protein crystallization.     

Antibody variable region interactions with Protein A: implications for the development of generic purification processes

In this paper, a wide range of antibodies from various subclasses and subfamilies are employed to evaluate the creation of generic separation processes using Protein A chromatography. The reasons for elution pH differences amongst several IgG1s, IgG2s, antibody fragments, and Fc-fusion proteins during Protein A chromatography are investigated using several complimentary techniques. The results indicate that variable region interactions play a major role in determining elution pH for VH3 subfamily antibodies while using traditional protein A chromatographic materials. On the other hand, experiments with a resin which employs a ligand consisting solely of B domain of Protein A indicate that variable region interactions can be mitigated, enabling the use of a single elution pH for a range of antibodies. Finally, the moderation of elution conditions associated with this engineered ligand are shown to minimize problems associated with low pH induced aggregation. It is expected that the findings reported in this paper will facilitate faster process development cycle times for this important class of human therapeutics.     

Protein interactions and disease: computational approaches to uncover the etiology of diseases

The genomic era has been characterised by vast amounts of data from diverse sources, creating a need for new tools to extract biologically meaningful information. Bioinformatics is, for the most part, responding to that need. The sparseness of the genomic data associated with diseases, however, creates a new challenge. Understanding the complex interplay between genes and proteins requires integration of data from a wide variety of sources, i.e. gene expression, genetic linkage, protein interaction, and protein structure among others. Thus, computational tools have become critical for the integration, representation and visualization of heterogeneous biomedical data. Furthermore, several bioinformatics methods have been developed to formulate predictions about the functional role of genes and proteins, including their role in diseases. After an introduction to the complex interplay between proteins and genetic diseases, this review explores recent approaches to the understanding of the mechanisms of disease at the molecular level. Finally, because most known mechanisms leading to disease involve some form of protein interaction, this review focuses on the recent methodologies for understanding diseases through their underlying protein interactions. Recent contributions from genetics, protein structure and protein interaction network analyses to the understanding of diseases are discussed here.     

The structure and function of RuBisCO and their implications for systematic studies

As "the most abundant protein in the world,' ribulose-1,5-bisphosphate carboxylase (RuBisCO) attracts the attention of genetic engineers and plant phylogeneticists. The active site, which is responsible for almost all carbon fixation on earth, is in the large subunit (LSU). Over 30% of the 476 amino acids in the LSU are involved in intermolecular associations. Using available sequence data, we find that 105 (22%) of the residues are absolutely conserved across 499 seed plants, with an additional 110 demonstrating only one change. Our analyses show that conserved domains are not fully explained by current structural data. This has several implications for systematic studies. First, the number of potentially variable sites is likely to be slightly over 1000, rather than 1428. Second, rates of change can vary greatly across the molecule; functional constraints on amino acids and codon biases greatly increase the potential for homoplasy. Third, some changes are correlated, and thus might be down-weighted accordingly. Fourth, some of the variation in RuBisCO may be adaptive and present insights into the nature of evolutionary change in response to the environment.     

Structural basis for tunable affinity and specificity of LxCxE-dependent protein interactions with the retinoblastoma protein family

1. Download : Download high-res image (107KB)
2. Download : Download full-size image

     

Modulation of nociceptive ion channels and receptors via protein-protein interactions: implications for pain relief

In the last 2 decades biomedical research has provided great insights into the molecular signatures underlying painful conditions. However, chronic pain still imposes substantial challenges to researchers, clinicians and patients alike. Under pathological conditions, pain therapeutics often lack efficacy and exhibit only minimal safety profiles, which can be largely attributed to the targeting of molecules with key physiological functions throughout the body. In light of these difficulties, the identification of molecules and associated protein complexes specifically involved in chronic pain states is of paramount importance for designing selective interventions. Ion channels and receptors represent primary targets, as they critically shape nociceptive signaling from the periphery to the brain. Moreover, their function requires tight control, which is usually implemented by protein-protein interactions (PPIs). Indeed, manipulation of such PPIs entails the modulation of ion channel activity with widespread implications for influencing nociceptive signaling in a more specific way. In this review, we highlight recent advances in modulating ion channels and receptors via their PPI networks in the pursuit of relieving chronic pain. Moreover, we critically discuss the potential of targeting PPIs for developing novel pain therapies exhibiting higher efficacy and improved safety profiles.     

Probing the structure of complex macromolecular interactions by homolog specificity scanning: the P1 and P7 plasmid partition systems.

The P1 plasmid partition locus, P1 par, actively distributes plasmid copies to Escherichia coli daughter cells. It encodes two DNA sites and two proteins, ParA and ParB. Plasmid P7 uses a similar system, but the key macromolecular interactions are species specific. Homolog specificity scanning (HSS) exploits such specificities to map critical contact points between component macromolecules. The ParA protein contacts the par operon operator for operon autoregulation, and the ParB contacts the parS partition site during partition. Here, we refine the mapping of these contacts and extend the use of HSS to map protein-protein contacts. We found that ParB participates in autoregulation at the operator site by making a specific contact with ParA. Similarly, ParA acts in partition by making a specific contact with ParB bound at parS. Both these interactions involve contacts between a C-terminal region of ParA and the extreme N-terminus of ParB. As a single type of ParA-ParB complex appears to be involved in recognizing both DNA sites, the operator and the parS sites may both be occupied by a single protein complex during partition. The general HSS strategy may aid in solving the three-dimensional structures of large complexes of macromolecules.     

Modulation of nociceptive ion channels and receptors via protein-protein interactions: implications for pain relief

In the last 2 decades biomedical research has provided great insights into the molecular signatures underlying painful conditions. However, chronic pain still imposes substantial challenges to researchers, clinicians and patients alike. Under pathological conditions, pain therapeutics often lack efficacy and exhibit only minimal safety profiles, which can be largely attributed to the targeting of molecules with key physiological functions throughout the body. In light of these difficulties, the identification of molecules and associated protein complexes specifically involved in chronic pain states is of paramount importance for designing selective interventions. Ion channels and receptors represent primary targets, as they critically shape nociceptive signaling from the periphery to the brain. Moreover, their function requires tight control, which is usually implemented by protein-protein interactions (PPIs). Indeed, manipulation of such PPIs entails the modulation of ion channel activity with widespread implications for influencing nociceptive signaling in a more specific way. In this review, we highlight recent advances in modulating ion channels and receptors via their PPI networks in the pursuit of relieving chronic pain. Moreover, we critically discuss the potential of targeting PPIs for developing novel pain therapies exhibiting higher efficacy and improved safety profiles.     

天然嵌合基因的结构特性及其对基因设计的启示

天然嵌合基因(natural chimeric gene)是由两个或两个以上的独立基因天然融合而成的新基因,该类型基因的发现,突破了“一个基因对应一个染色体座位”的经典认知,扩展了基因的概念。在人类癌症研究过程中,诸多的嵌合基因可导致肿瘤相关疾病,并作为癌症分子的诊断标志而受到人们的广泛关注。本文基于嵌合基因生物信息学方面的相关研究,以癌基因为切入点,从天然嵌合基因的融合特点、转录、调控,以及融合蛋白的结构域组合形式和功能等方面,结合本研究组前期的相关工作,综述了嵌合基因融合结构和功能的研究进展,探讨了当前研究工作的困难与挑战,并对嵌合规律在新基因设计的应用作了展望。     

Comparison of protein-protein interactions in serine protease-inhibitor and antibody-antigen complexes: implications for the protein docking problem

The protein-protein interaction energy of 12 nonhomologous serine protease-inhibitor and 15 antibody-antigen complexes is calculated using a molecular mechanics formalism and dissected in terms of the main-chain vs. side-chain contribution, nonrotameric side-chain contributions, and amino acid residue type involvement in the interface interaction. There are major differences in the interactions of the two types of protein-protein complex. Protease-inhibitor complexes interact predominantly through a main-chain-main-chain mechanism while antibody-antigen complexes interact predominantly through a side-chain-side-chain or a side-chain-main-chain mechanism. However, there is no simple correlation between the main-chain-main-chain interaction energy and the percentage of main-chain surface area buried on binding. The interaction energy is equally effected by the presence of nonrotameric side-chain conformations, which constitute approximately 20% of the interaction energy. The ability to reproduce the interface interaction energy of the crystal structure if original side-chain conformations are removed from the calculation is much greater in the protease-inhibitor complexes than the antibody-antigen complexes. The success of a rotameric model for protein-protein docking appears dependent on the extent of the main-chain-main-chain contribution to binding. Analysis of (1) residue type and (2) residue pair interactions at the interface show that antibody-antigen interactions are very restricted with over 70% of the antibody energy attributable to just six residue types (Tyr > Asp > Asn > Ser > Glu > Trp) in agreement with previous studies on residue propensity. However, it is found here that 50% of the antigen energy is attributable to just four residue types (Arg = Lys > Asn > Asp). On average just 12 residue pair interactions (6%) contribute over 40% of the favorable interaction energy in the antibody-antigen complexes, with charge-charge and charge/polar-tyrosine interactions being prominent. In contrast protease inhibitors use a diverse set of residue types and residue pair interactions.     

Interaction between GABAA receptor subunit intracellular loops: implications for higher order complex formation

The majority of fast inhibitory neurotransmission in the CNS is mediated by the GABA type-A (GABAA) receptor, a ligand-gated chloride channel. Of the approximately 20 different subunits composing the hetero-pentameric GABAA receptor, the gamma2 subunit in particular seems to be important in several aspects of GABAA receptor function, including clustering of the receptor at synapses. In this study, we report that the intracellular loop of the gamma2 subunit interacts with itself as well as with gamma1, gamma3 and beta1-3 subunits, but not with the alpha subunits. We further show that gamma2 subunits interact with photolabeled pentameric GABAA receptors composed of alpha1, beta2/3 and gamma2 subunits, and calculate the dissociation constant to be in the micromolar range. By using deletion constructs of the gamma2 subunit in a yeast two-hybrid assay, we identified a 23-amino acid motif that mediates self-association, residues 389-411. We confirmed this interaction motif by inhibiting the interaction in a glutathione-S-transferase pull-down assay by adding a corresponding gamma2-derived peptide. Using similar approaches, we identified the interaction motif in the gamma2 subunit mediating interaction with the beta2 subunit as a 47-amino acid motif that includes the gamma2 self-interacting motif. The identified gamma2 self-association motif is identical to the interaction motif reported between GABAA receptor and GABAA receptor-associated protein (GABARAP). We propose a model for GABAA receptor clustering based on GABARAP and GABAA receptor subunit-subunit interaction.