Sequence patches on MAPK surfaces define protein-protein interactions

Recent studies on the modularity of mitogen-activated protein kinases show how redesigning 'surface patches' on a protein can change the topology of a signaling network.     

Prediction of protein-protein interactions between Ralstonia solanacearum and Arabidopsis thaliana

Ralstonia solanacearum is a devastating bacterial pathogen that has an unusually wide host range. R. solanacearum, together with Arabidopsis thaliana, has become a model system for studying the molecular basis of plant-pathogen interactions. Protein-protein interactions (PPIs) play a critical role in the infection process, and some PPIs can initiate a plant defense response. However, experimental investigations have rarely addressed such PPIs. Using two computational methods, the interolog and the domain-based methods, we predicted 3,074 potential PPIs between 119 R. solanacearum and 1,442 A. thaliana proteins. Interestingly, we found that the potential pathogen-targeted proteins are more important in the A. thaliana PPI network. To facilitate further studies, all predicted PPI data were compiled into a database server called PPIRA (http://protein.cau.edu.cn/ppira/). We hope that our work will provide new insights for future research addressing the pathogenesis of R. solanacearum.     

A contradictory GLABRA3 allele helps define gene interactions controlling trichome development in Arabidopsis

Previously characterized Arabidopsis gl3 mutants have trichomes that are smaller, less branched and undergo fewer rounds of endoreplication than wild-type trichomes. A new gl3 mutant, called gl3-sst, has oddly shaped trichomes that over expand during early development, undergo more endoreduplication and that have a striking nuclear morphology. The mutant nuclei consist of many interconnected lobes; however, only a single set of polytene-like chromosomes reside in the mutant nuclei. The predicted gl3-sst polypeptide has a Leu to Phe substitution (codon 78) within a region responsible for protein-protein interaction. Yeast interaction assays comparing GL3 with gl3-sst proteins show that the mutant protein interaction with GL1 and TTG1 is decreased by 75% and 50%, respectively, but there is no difference in its interaction with TRY. Furthermore, TRY has the ability to prevent the GL1 GL3 interaction and the GL1 gl3-sst interaction is even more sensitive to TRY. Analysis of plants expressing functional GFP-tagged versions of GL1, GL3 and TRY show that the proteins are localized in trichome nuclei. These results have been used to model trichome initiation in terms of protein interactions and threshold levels of activator complex.     

Selective protein-protein interactions direct channeling of intermediates between polyketide synthase modules

Polyketide synthases (PKSs) have represented fertile targets for rational manipulation via protein engineering ever since their modular architecture was first recognized. However, the mechanistic principles by which biosynthetic intermediates are sequentially channeled between modules remain poorly understood. Here we demonstrate the importance of complementarity in a remarkably simple, repetitive structural motif within these megasynthases that has been implicated to affect intermodular chain transfer [Gokhale, R. S., et al. (1999) Science 284, 482]. The C- and N-terminal ends of adjacent PKS polypeptides are capped by short peptides of 20-40 residues. Mismatched sequences abolish intermodular chain transfer without affecting the activity of individual modules, whereas matched sequences can facilitate the channeling of intermediates between ordinarily nonconsecutive modules. Thus, in addition to substrate-PKS interactions and domain-domain interactions, these short interpolypeptide sequences represent a third determinant of selective chain transfer that must be taken into consideration in the protein engineering of PKSs. Preliminary biophysical studies on synthetic peptide mimics of these linkers suggest that they may adopt coiled-coil conformations.     

Characterization of COMMD protein-protein interactions in NF-kappaB signalling

COMMD [copper metabolism gene MURR1 (mouse U2af1-rs1 region 1) domain] proteins constitute a recently identified family of NF-kappaB (nuclear factor kappaB)-inhibiting proteins, characterized by the presence of the COMM domain. In the present paper, we report detailed investigation of the role of this protein family, and specifically the role of the COMM domain, in NF-kappaB signalling through characterization of protein-protein interactions involving COMMD proteins. The small ubiquitously expressed COMMD6 consists primarily of the COMM domain. Therefore COMMD1 and COMMD6 were analysed further as prototype members of the COMMD protein family. Using specific antisera, interaction between endogenous COMMD1 and COMMD6 is described. This interaction was verified by independent techniques, appeared to be direct and could be detected throughout the whole cell, including the nucleus. Both proteins inhibit TNF (tumour necrosis factor)-induced NF-kappaB activation in a non-synergistic manner. Mutation of the amino acid residues Trp24 and Pro41 in the COMM domain of COMMD6 completely abolished the inhibitory effect of COMMD6 on TNF-induced NF-kappaB activation, but this was not accompanied by loss of interaction with COMMD1, COMMD6 or the NF-kappaB subunit RelA. In contrast with COMMD1, COMMD6 does not bind to IkappaBalpha (inhibitory kappaBalpha), indicating that both proteins inhibit NF-kappaB in an overlapping, but not completely similar, manner. Taken together, these data support the significance of COMMD protein-protein interactions and provide new mechanistic insight into the function of this protein family in NF-kappaB signalling.     

Lectin receptor kinases participate in protein-protein interactions to mediate plasma membrane-cell wall adhesions in Arabidopsis

Interactions between plant cell walls and plasma membranes are essential for cells to function properly, but the molecules that mediate the structural continuity between wall and membrane are unknown. Some of these interactions, which are visualized upon tissue plasmolysis in Arabidopsis (Arabidopsis thaliana), are disrupted by the RGD (arginine-glycine-aspartic acid) tripeptide sequence, a characteristic cell adhesion motif in mammals. In planta induced-O (IPI-O) is an RGD-containing protein from the plant pathogen Phytophthora infestans that can disrupt cell wall-plasma membrane adhesions through its RGD motif. To identify peptide sequences that specifically bind the RGD motif of the IPI-O protein and potentially play a role in receptor recognition, we screened a heptamer peptide library displayed in a filamentous phage and selected two peptides acting as inhibitors of the plasma membrane RGD-binding activity of Arabidopsis. Moreover, the two peptides also disrupted cell wall-plasma membrane adhesions. Sequence comparison of the RGD-binding peptides with the Arabidopsis proteome revealed 12 proteins containing amino acid sequences in their extracellular domains common with the two RGD-binding peptides. Eight belong to the receptor-like kinase family, four of which have a lectin-like extracellular domain. The lectin domain of one of these, At5g60300, recognized the RGD motif both in peptides and proteins. These results imply that lectin receptor kinases are involved in protein-protein interactions with RGD-containing proteins as potential ligands, and play a structural and signaling role at the plant cell surfaces.     

Identification of functional modules from conserved ancestral protein-protein interactions

MOTIVATION: The increasing availability of large-scale protein-protein interaction (PPI) data has fueled the efforts to elucidate the building blocks and organization of cellular machinery. Previous studies have shown cross-species comparison to be an effective approach in uncovering functional modules in protein networks. This has in turn driven the research for new network alignment methods with a more solid grounding in network evolution models and better scalability, to allow multiple network comparison. RESULTS: We develop a new framework for protein network alignment, based on reconstruction of an ancestral PPI network. The reconstruction algorithm is built upon a proposed model of protein network evolution, which takes into account phylogenetic history of the proteins and the evolution of their interactions. The application of our methodology to the PPI networks of yeast, worm and fly reveals that the most probable conserved ancestral interactions are often related to known protein complexes. By projecting the conserved ancestral interactions back onto the input networks we are able to identify the corresponding conserved protein modules in the considered species. In contrast to most of the previous methods, our algorithm is able to compare many networks simultaneously. The performed experiments demonstrate the ability of our method to uncover many functional modules with high specificity. AVAILABILITY: Information for obtaining software and supplementary results are available at http://bioputer.mimuw.edu.pl/papers/cappi.     

Mean-field analysis of protein-protein interactions

Calculations were performed on the D1.3-E5.2 antibody-antibody complex estimating the binding affinities of the wild-type and 16 alanine substitutions. Analyzed were structural models of the interfacial region containing a zinc ion and crystallographic waters. A continuum approach was used to evaluate the electrostatic free energies and the hydrophobic effect was calculated by employing a buried molecular surface area relationship. Estimates of the absolute binding affinity reproduced the experimental value within the uncertainty of assessing entropic and strain energy contributions. The best correlation for mutants with experimental data was achieved when the hydrophilicity of created cavities were considered, and yielded a correlation coefficient of 0.7 and an average error of +/-1.4 kcal/mol. Empirically fitting the free energy function produced a smaller error of +/-1.0 kcal/mol. Depending on the electrical potential and electrostatic reorganization, scaling the 'protein dielectric constant' to approximately 10 may improve the accuracy of continuum models for evaluating amino acid substitutions.     

Tyrosine kinases and their interactions with signalling proteins.

Recent progress has been made in identifying signal transduction pathways controlled by receptor protein-tyrosine kinases. The receptors for nerve growth factor and hepatocyte growth factor have been identified as the Trk and Met tyrosine kinases. The stimulation of intracellular signal transduction pathways by activated receptors appears to involve the association of SH2-containing cytoplasmic signalling proteins with autophosphorylated receptors.     

When kinases meet mathematics: the systems biology of MAPK signalling

The mitogen activated protein kinase/extracellular signal regulated kinase pathway regulates fundamental cellular function such as cell proliferation, survival, differentiation and motility, raising the question how these diverse functions are specified and coordinated. They are encoded through the activation kinetics of the pathway, a multitude of feedback loops, scaffold proteins, subcellular compartmentalisation, and crosstalk with other pathways. These regulatory motifs alone or in combination can generate a multitude of complex behaviour. Systems biology tries to decode this complexity through mathematical modelling and prediction in order to gain a deeper insight into the inner works of signalling networks.     

Growth signalling pathways in Arabidopsis and the AGC protein kinases

Lipid-derived signals are central to regulating a multitude of cellular processes but, in plants, little is known of the downstream signalling pathways. The Arabidopsis 3-phosphoinositide-dependent protein kinase (PDK1) could couple lipid signals to the activation of several protein kinases of the so-called AGC kinase family. The Arabidopsis AGC kinases contain sequence motives required for the docking of PDK1 and phosphorylation of their activation loop in the kinase catalytic domain. It is becoming evident that specific members of the AGC kinases are implicated in key growth signalling pathways. For example, Arabidopsis p70(S6K) might be a nodal point able to integrate hormonal and developmental signals with nutritional inputs, together with the Arabidopsis Target of Rapamycin (TOR) protein.     

Negation of protein-protein interactions: analysis and extraction

MOTIVATION: Negative information about protein-protein interactions--from uncertainty about the occurrence of an interaction to knowledge that it did not occur--is often of great use to biologists and could lead to important discoveries. Yet, to our knowledge, no proposals focusing on extracting such information have been proposed in the text mining literature. RESULTS: In this work, we present an analysis of the types of negative information that is reported, and a heuristic-based system using a full dependency parser to extract such information. We performed a preliminary evaluation study that shows encouraging results of our system. Finally, we have obtained an initial corpus of negative protein-protein interactions as basis for the construction of larger ones. AVAILABILITY: The corpus is available by request from the authors.     

Computational methods of analysis of protein-protein interactions

Computational methods play an important role at all stages of the process of determining protein-protein interactions. They are used to predict potential interactions, to validate the results of high-throughput interaction screens and to analyze the protein networks inferred from interaction databases.     

Mapping protein-protein interactions between MutL and MutH by cross-linking

Strand discrimination in Escherichia coli DNA mismatch repair requires the activation of the endonuclease MutH by MutL. There is evidence that MutH binds to the N-terminal domain of MutL in an ATP-dependent manner; however, the interaction sites and the molecular mechanism of MutH activation have not yet been determined. We used a combination of site-directed mutagenesis and site-specific cross-linking to identify protein interaction sites between the proteins MutH and MutL. Unique cysteine residues were introduced in cysteine-free variants of MutH and MutL. The introduced cysteines were modified with the cross-linking reagent 4-maleimidobenzophenone. Photoactivation resulted in cross-links verified by mass spectrometry of some of the single cysteine variants to their respective Cys-free partner proteins. Moreover, we mapped the site of interaction by cross-linking different combinations of single cysteine MutH and MutL variants with thiol-specific homobifunctional cross-linkers of varying length. These results were used to model the MutH.MutL complex and to explain the ATP dependence of this interaction.     

A systems biology analysis of protein-protein interactions between yeast superoxide dismutases and DNA repair pathways

Superoxide dismutases (SODs) are widely distributed in eukaryotic and prokaryotic species and are responsible for O(2)(.-) scavenging and dismutation to H(2)O(2) and O(2). Mutations in the cytoplasmic (Sod1p) or mitochondrial (Sod2p) form of SODs result in aging, neurodegenerative diseases, and carcinogenesis. Diminished activity of SODs leads to reduced activity of DNA repair pathways, and overexpression of SODs in cells defective for DNA repair increases their level of chromatin damage. Unfortunately, little is understood regarding the interplay between SODs and DNA repair proteins and their role in protecting the genome from oxidative damage. To elucidate the association between yeast SODs and DNA repair mechanisms, a systems biology study was performed employing algorithms of literature data mining and the construction of physical protein-protein interactions from large yeast protein databases. The results obtained in this work allow us to draw two models suggesting that yeast SODs act as O(2)(.-) sensors under conditions of redox imbalance, activating and controlling specific DNA repair mechanisms (e.g., recombinational and excision repair pathways), chromatin remodeling, and synthesis of dNTPs.