Protein microarrays as a discovery tool for studying protein-protein interactions

Exploring the function of the genome and the encoded proteins has emerged as a new and exciting challenge in the postgenomic era. Novel technologies come into view that promise to be valuable for the investigation not only of single proteins, but of entire protein networks. Protein microarrays are the innovative assay platform for highly parallel in vitro studies of protein-protein interactions. Due to their flexibility and multiplexing capacity, protein microarrays benefit basic research, diagnosis and biomedicine. This review provides an overview on the basic principles of protein microarrays and their potential to multiplex protein-protein interaction studies.     

Cluster conservation as a novel tool for studying protein-protein interactions evolution

Protein-protein interactions networks has come to be a buzzword associated with nets containing edges that represent a pair of interacting proteins (e.g. hormone-receptor, enzyme-inhibitor, antigen-antibody, and a subset of multichain biological machines). Yet, each such interaction composes its own unique network, in which vertices represent amino acid residues, and edges represent atomic contacts. Recent studies have shown that analyses of the data encapsulated in these detailed networks may impact predictions of structure-function correlation. Here, we study homologous families of protein-protein interfaces, which share the same fold but vary in sequence. In this context, we address what properties of the network are shared among relatives with different sequences (and hence different atomic interactions) and which are not. Herein, we develop the general mathematical framework needed to compare the modularity of homologous networks. We then apply this analysis to the structural data of a few interface families, including hemoglobin alpha-beta, growth hormone-receptor, and Serine protease-inhibitor. Our results suggest that interface modularity is an evolutionarily conserved property. Hence, protein-protein interfaces can be clustered down to a few modules, with the boundaries being evolutionarily conserved along homologous complexes. This suggests that protein engineering of protein-protein binding sites may be simplified by varying each module, but retaining the overall modularity of the interface.     

Electrophoretic methods for studying protein-protein interactions.

Protein-protein interactions are involved in many biological processes ranging from DNA replication, to signal transduction, to metabolism control, to viral assembly. The understanding of those interactions would allow the effective design of new drugs and further manipulation of those interactions. Several useful analytical methods are available for the study of protein-protein binding, and among them, electrophoresis is commonly used. We describe two types of electrophoresis: gel electrophoresis and capillary electrophoresis. Gel electrophoresis is a well-established method used to study protein-protein interactions and includes overlay gel electrophoresis, charge shift method, band shift assay, countermigration electrophoresis, affinophoresis, affinity electrophoresis, rocket immunoelectrophoresis, and crossed immunoelectrophoresis. These techniques are briefly described along with their advantages and limitations. Capillary electrophoresis, on the other hand, is a relatively new method and affinity capillary electrophoresis has demonstrated its value in the measurement of binding constants, the estimation of kinetic rate constants, and the determination of stoichiometry of biomolecular interactions. It offers short analysis time, requires minute amounts of protein samples, usually involves no radiolabeled compounds, and, most importantly, is carried out in solution. We summarize the principles of affinity capillary electrophoresis for studying protein-protein interactions along with current limitations and describe in depth its application to the determination of stoichiometries of tight and weak binding protein-protein interactions. The protocol presented in the experimental section details the use of affinity capillary electrophoresis for the determination of stoichiometry of protein complexes.     

Protein complementation as tool for studying protein-protein interactions in living cells

The association and dissociation of protein-protein complexes play an important role in various processes in living cells. The disruption of protein-protein interactions is observed in various pathologies. The study of the nature of these interactions will contribute to a better understanding of the molecular basis of the pathogenesis of the disease and the development of new approaches to therapy. Now there is a set of methods that allow one to reveal and analyze the interaction of proteins in vitro. However, more accurate data can be obtained by studying protein-protein interactions in vivo. One of a few prospective methods is based on the effect of the complementation of fragments of reporter proteins. These reporter systems are based on the change in the fluorescent properties or enzymatic activity of the proteins that can be measured using colorimetric, fluorescent, or other substrates. The principle of the complementation is widely used to analyze protein interactions, to determine of order of interaction of protein partners in different signaling pathways, as well as in high-performance screening studies for detecting and mapping previously unknown protein-protein interactions. The possibilities of existing complementation reporter systems allow one to solve problems that are far beyond the simple registration of the interactions of two or more proteins.     

A general system for studying protein-protein interactions in Gram-negative bacteria

One of the most promising methods for large-scale studies of protein interactions is isolation of an affinity-tagged protein with its in vivo interaction partners, followed by mass spectrometric identification of the copurified proteins. Previous studies have generated affinity-tagged proteins using genetic tools or cloning systems that are specific to a particular organism. To enable protein-protein interaction studies across a wider range of Gram-negative bacteria, we have developed a methodology based on expression of affinity-tagged "bait" proteins from a medium copy-number plasmid. This construct is based on a broad-host-range vector backbone (pBBR1MCS5). The vector has been modified to incorporate the Gateway DEST vector recombination region, to facilitate cloning and expression of fusion proteins bearing a variety of affinity, fluorescent, or other tags. We demonstrate this methodology by characterizing interactions among subunits of the DNA-dependent RNA polymerase complex in two metabolically versatile Gram-negative microbial species of environmental interest, Rhodopseudomonas palustris CGA010 and Shewanella oneidensis MR-1. Results compared favorably with those for both plasmid and chromosomally encoded affinity-tagged fusion proteins expressed in a model organism, Escherichia coli.     

Blotting and band-shifting: techniques for studying protein-protein interactions.

The type II cAMP-dependent protein kinase (PKA) is localized in certain cellular compartments through association with specific A-kinase anchoring proteins (AKAPs). A variety of blotting and electrophoresis techniques have been developed to study the protein-protein interactions that occur between the regulatory (R) subunit of PKA and AKAPs. These methods have also been used for a variety of purposes such as detecting calmodulin-binding proteins, comparing wild-type- and mutant-form binding affinities and estimating the molecular weight of multiprotein complexes.     

Green fluorescent protein as a signal for protein-protein interactions.

Green fluorescent protein (GFP) is autofluorescent. This property has made GFP useful in monitoring in vivo activities such as gene expression and protein localization. We find that GFP can be used in vitro to reveal and characterize protein-protein interactions. The interaction between the S-peptide and S-protein fragments of ribonuclease A was chosen as a model system. GFP-tagged S-peptide was produced, and the interaction of this fusion protein with S-protein was analyzed by two distinct methods: fluorescence gel retardation and fluorescence polarization. The fluorescence gel retardation assay is a rapid method to demonstrate the existence of a protein-protein interaction and to estimate the dissociation constant (Kd) of the resulting complex. The fluorescence polarization assay is an accurate method to evaluate Kd in a specified homogeneous solution and can be adapted for the high-throughput screening of protein or peptide libraries. These two methods are powerful new tools to probe protein-protein interactions.     

Spider-web kleptoparasites as a model for studying producer-consumer interactions

In this study, we documented that the kleptoparasitic spidersArgyroes elvatus consume and assimilate web material from thehost spider Nephila clavipes. We also demonstrated quantitativelythat the amount of web material consumed by the kleptopa asiteis equivalent to the amount of insect material comsumed whenhost vigilance is low, as expected when foraging conditionsare very good. Argyrodes vary in their impact on their hosts,as they may steal large prey, small prey, or silk. This host-kieptoparasite interaction is therefore an ideal system for experimentallycramming a variable producer-consumer interaction. We compareour experimental results to published experiments showing thatthe impact of Arg on a Nephila host can be deleterious whenforaging conditions are poor.     

Analytical ultracentrifugation as a tool for studying protein interactions

The last two decades have led to significant progress in the field of analytical ultracentrifugation driven by instrumental, theoretical, and computational methods. This review will highlight key developments in sedimentation equilibrium (SE) and sedimentation velocity (SV) analysis. For SE, this includes the analysis of tracer sedimentation equilibrium at high concentrations with strong thermodynamic non-ideality, and for ideally interacting systems, the development of strategies for the analysis of heterogeneous interactions towards global multi-signal and multi-speed SE analysis with implicit mass conservation. For SV, this includes the development and applications of numerical solutions of the Lamm equation, noise decomposition techniques enabling direct boundary fitting, diffusion deconvoluted sedimentation coefficient distributions, and multi-signal sedimentation coefficient distributions. Recently, effective particle theory has uncovered simple physical rules for the co-migration of rapidly exchanging systems of interacting components in SV. This has opened new possibilities for the robust interpretation of the boundary patterns of heterogeneous interacting systems. Together, these SE and SV techniques have led to new approaches to study macromolecular interactions across the entire spectrum of affinities, including both attractive and repulsive interactions, in both dilute and highly concentrated solutions, which can be applied to single-component solutions of self-associating proteins as well as the study of multi-protein complex formation in multi-component solutions.     

beta-Peptides as inhibitors of protein-protein interactions

We became interested several years ago in exploring whether 14-helical beta-peptide foldamers could bind protein surfaces and inhibit protein-protein interactions, and if so, whether their affinities and specificities would compare favorably with those of natural or miniature proteins. This exploration was complicated initially by the absence of a suitable beta-peptide scaffold, one that possessed a well-defined 14-helical structure in water and tolerated the diverse sequence variation required to generate high-affinity protein surface ligands. In this perspective, we describe our approach to the design of adaptable beta-peptide scaffolds with high levels of 14-helix structure in water, track the subsequent development of 14-helical beta-peptide protein-protein interaction inhibitors, and examine the potential of this strategy for targeting other therapeutically important proteins.     

DOCKGROUND resource for studying protein-protein interfaces

MOTIVATION: Public resources for studying protein interfaces are necessary for better understanding of molecular recognition and developing intermolecular potentials, search procedures and scoring functions for the prediction of protein complexes. RESULTS: The first release of the DOCKGROUND resource implements a comprehensive database of co-crystallized (bound-bound) protein-protein complexes, providing foundation for the upcoming expansion to unbound (experimental and simulated) protein-protein complexes, modeled protein-protein complexes and systematic sets of docking decoys. The bound-bound part of DOCKGROUND is a relational database of annotated structures based on the Biological Unit file (Biounit) provided by the RCSB as a separated file containing probable biological molecule. DOCKGROUND is automatically updated to reflect the growth of PDB. It contains 67,220 pairwise complexes that rely on 14,913 Biounit entries from 34,778 PDB entries (January 30, 2006). The database includes a dynamic generation of non-redundant datasets of pairwise complexes based either on the structural similarity (SCOP classification) or on user-defined sequence identity. The growing DOCKGROUND resource is designed to become a comprehensive public environment for developing and validating new methodologies for modeling of protein interactions. AVAILABILITY: DOCKGROUND is available at http://dockground.bioinformatics.ku.edu. The current first release implements the bound-bound part.     

Structural instability tuning as a regulatory mechanism in protein-protein interactions

Protein-protein interactions mediate a vast number of cellular processes. Here, we present a regulatory mechanism in protein-protein interactions mediated by finely tuned structural instability and coupled with molecular mimicry. We show that a set of type III secretion (TTS) autoinhibited homodimeric chaperones adopt a molten globule-like state that transiently exposes the substrate binding site as a means to become rapidly poised for binding to their cognate protein substrates. Packing defects at the homodimeric interface stimulate binding, whereas correction of these defects results in less labile chaperones that give rise to nonfunctional biological systems. The protein substrates use structural mimicry to offset the weak spots in the chaperones and to counteract their autoinhibitory conformation. This regulatory mechanism of protein activity is evolutionarily conserved among several TSS systems and presents a lucid example of functional advantage conferred upon a biological system by finely tuned structural instability.     

Information integration of protein-protein interactions as essential tools for immunomics

After a brief introduction to point out the necessity to advance for a global understanding of the macromolecular interactions occurring during the immune system development and responses, Section 2 will be devoted to analyse the current tools for an automatic location of information on these protein-protein interactions in the web. In the next section (Section 3), we will point out different action lines to improve these tools and, consequently, to increase the efficiency to establish (to understand) the "protein network skeleton" that controls our immune responses. Finally, we will briefly present our current strategy and work to advance towards this goal.     

Mining literature for protein-protein interactions

MOTIVATION: A central problem in bioinformatics is how to capture information from the vast current scientific literature in a form suitable for analysis by computer. We address the special case of information on protein-protein interactions, and show that the frequencies of words in Medline abstracts can be used to determine whether or not a given paper discusses protein-protein interactions. For those papers determined to discuss this topic, the relevant information can be captured for the Database of Interacting PROTEINS: Furthermore, suitable gene annotations can also be captured. RESULTS: Our Bayesian approach scores Medline abstracts for probability of discussing the topic of interest according to the frequencies of discriminating words found in the abstract. More than 80 discriminating words (e.g. complex, interaction, two-hybrid) were determined from a training set of 260 Medline abstracts corresponding to previously validated entries in the Database of Interacting Proteins. Using these words and a log likelihood scoring function, approximately 2000 Medline abstracts were identified as describing interactions between yeast proteins. This approach now forms the basis for the rapid expansion of the Database of Interacting Proteins.     

Allele-specific suppression as a tool to study protein-protein interactions in bacteria

Suppression analysis is well suited to study the interactions of gene products. It offers the advantage of simplicity for any organism for which a convenient genetic system has been developed, which holds for a wide spectrum of bacteria and an ever-increasing number of unicellular as well as complex eukaryotes. No other method provides as much information about the functional relationships of biological macromolecules. The intrinsic value of suppression analysis is enhanced by advances in genomics and in biophysical techniques for investigating the properties of nucleic acids and proteins, such as X-ray crystallography, liquid and solid-state nuclear magnetic resonance, electron spin labeling, and isothermal calorimetry. These approaches confirm and complement whatever is revealed by genetics. Despite these sterling qualities, suppression analysis has its dangers, less in execution than in conceptualization of experiments and interpretation of data. A consistent nomenclature is essential for a uniform and widespread understanding of the results. Familiarity with the genetic background and idiosyncracies of the organism studied is critical in avoiding extraneous phenomena that can affect the outcome. Finally, it is imperative not to underestimate potentially bizarre and improbable consequences that can transpire when rigorous genetic selection is maintained for an appreciable length of time. The article begins with a somewhat pedagogical discussion of genetic terminology. It then moves on to the necessary precautions to observe while planning and conducting suppression analysis. The remainder of the article considers different manifestations of suppression: bypass suppression; gradients of suppression; suppression by relaxed specificity; allele-specific "suppression at a distance"; and true conformational suppression. The treatment is not exhaustive, but representative examples have been gleaned from the recent bacterial literature.     

Weak protein-protein interactions as probed by NMR spectroscopy

Weak protein-protein interactions (PPIs) are fundamental to many cellular processes, such as reversible cell-cell contact, rapid enzyme turnover and transient assembly and/or reassembly of large signaling complexes. However, structural and functional characterizations of weak PPIs have been technically challenging and lagged behind those for strong PPIs. Here, we describe nuclear magnetic resonance (NMR) spectroscopy as a highly effective tool for unraveling the atomic details of weak PPIs. We highlight the recent advances of how NMR can be used to rapidly detect and structurally determine extremely weak PPIs (K(d)>10(-4)M). Coupled with functional approaches, NMR has the potential to look into a wide variety of biologically important weak PPIs at the detailed molecular level, thereby facilitating a thorough view of how proteins function in living cells.     

Overlapping synthetic peptides as a tool to map protein-protein interactions ̶ FSH as a model system of nonadditive interactions

In earlier work, we used partially overlapped synthetic peptides as a tool to find regions of interaction between the human FSH hormone and its receptor, aiming to find possible antagonists or agonists. Years later, the FSH and FSH receptor 3D structures were reported by other laboratories. The 3D results were in close agreement with the interacting regions predicted by using synthetic peptides. These earlier studies are reviewed here, and the predicted regions of interaction compared to the FSH and FSH receptor 3D structures to illustrate the usefulness of the synthetic peptide strategy to find binding regions. Different contact regions contribute multiplicatively to the high affinity of the entire ligand; thus, peptides covering a fraction of the anchor sites and with low free energy density cannot reach the affinity of the entire molecule. The earlier use of multiple linear regression to find the relevant predictors for effective binding, and a new way to estimate ΔG° and nonadditive interactions for the synthetic peptides in solution, by using the buried surface area (BSA), will be discussed.     

Surface shear viscometry as a probe of protein-protein interactions in mixed milk protein films adsorbed at the oil-water interface

Time-dependent surface viscosities are reported for films adsorbed from binary mixtures of the proteins alpha-lactalbumin, beta-lactoglobulin and beta-casein. The measurements were made at a planar interface between n-tetradecane and various protein solutions (10(-3) wt% of each protein, pH 7, 25 degrees C) using a Couette-type torsion-wire surface viscometer operating at very low shear-rate. Differences in behaviour between simultaneous and sequential exposure of the pairs of proteins to the interface were investigated. Some experiments were performed with chemically modified beta-lactoglobulin samples whose disulphide bonds had been cleaved and blocked. Displacement of one protein by another (e.g. alpha-lactalbumin by beta-casein) is indicated by a sudden drop in surface viscosity immediately after addition of the second protein. In systems containing beta-lactoglobulin, the long-time surface viscosity is very sensitive to the adsorption time of beta-lactoglobulin prior to addition of the second protein. Blocking the disulphide bonds in beta-lactoglobulin leads to a much faster approach to a steady-state surface viscosity. This is interpreted in terms of a much more rapid unfolding of the disordered molecules of modified beta-lactoglobulin at the oil-water interface. We conclude that surface viscosity experiments give useful and sensitive information about competitive adsorption and cooperative interactions in mixed protein films.     

Semi-synthetic Rab proteins as tools for studying intermolecular interactions

Rab GTPases play a key role in the regulation of membrane traffic. Posttranslational geranylgeranylation is critical for their biological activity and is conferred by a Rab geranylgeranyl transferase (RabGGTase). To study the interactions between Rab proteins and RabGGTase, we used in vitro ligation methodology to generate a fluorescent semi-synthetic Rab7 protein. The obtained protein was functionally active and was used to demonstrate a micromolar affinity interaction of Rab7 with the RabGGTase in the absence of Rab escort protein (REP). This finding is consistent with an earlier proposed model according to which RabGGTase possesses two independent weak binding sites for REP and Rab proteins.