Prospects for drug screening using the reverse two-hybrid system

The Use of Yeast in Biosensing

Yeast has been used as a model for several diseases as it is the simplest unicellular eukaryote, safe and easy to culture and harbors most of the fundamental processes that are present in almost all higher eukaryotes, including humans. From understanding the pathogenesis of disease to drug discovery studies, yeast has served as an important biosensor. It is not only due to the conservation of genetics, amenable modification of its genome and easily accessible analytical methods, but also some characteristic features such as its ability to survive with defective mitochondria, making it a highly flexible microbe for designing whole-cell biosensing systems. The aim of this review is to report on how yeasts have been utilized as biosensors, reporting on responses to various stimuli.

Methods of probing the interactions between small molecules and disordered proteins

It is generally recognized that a large fraction of the human proteome is made up of proteins that remain disordered in their native states. Despite the fact that such proteins play key biological roles and are involved in many major human diseases, they still represent challenging targets for drug discovery. A major bottleneck for the identification of compounds capable of interacting with these proteins and modulating their disease-promoting behaviour is the development of effective techniques to probe such interactions. The difficulties in carrying out binding measurements have resulted in a poor understanding of the mechanisms underlying these interactions. In order to facilitate further methodological advances, here we review the most commonly used techniques to probe three types of interactions involving small molecules: (1) those that disrupt functional interactions between disordered proteins; (2) those that inhibit the aberrant aggregation of disordered proteins, and (3) those that lead to binding disordered proteins in their monomeric states. In discussing these techniques, we also point out directions for future developments.

Gγ recruitment systems specifically select PPI and affinity-enhanced candidate proteins that interact with membrane protein targets

Protein-protein interactions (PPIs) are crucial for the vast majority of biological processes. We previously constructed a Gγ recruitment system to screen PPI candidate proteins and desirable affinity-altered (affinity-enhanced and affinity-attenuated) protein variants. The methods utilized a target protein fused to a mutated G-protein γ subunit (Gγ_cyto) lacking the ability to localize to the inner leaflet of the plasma membrane. However, the previous systems were adapted to use only soluble cytosolic proteins as targets. Recently, membrane proteins have been found to form the principal nodes of signaling involved in diseases and have attracted a great deal of interest as primary drug targets. Here, we describe new protocols for the Gγ recruitment systems that are specifically designed to use membrane proteins as targets to overcome previous limitations. These systems represent an attractive approach to exploring novel interacting candidates and affinity-altered protein variants and their interactions with proteins on the inner side of the plasma membrane, with high specificity and selectivity.

Mapping the Protein-Protein Interactome Networks Using Yeast Two-Hybrid Screens

The yeast two-hybrid system (Y2H) is a powerful method to identify binary protein-protein interactions in vivo. Here we describe Y2H screening strategies that use defined libraries of open reading frames (ORFs) and cDNA libraries. The array-based Y2H system is well suited for interactome studies of small genomes with an existing ORFeome clones preferentially in a recombination based cloning system. For large genomes, pooled library screening followed by Y2H pairwise retests may be more efficient in terms of time and resources, but multiple sampling is necessary to ensure comprehensive screening. While the Y2H false positives can be efficiently reduced by using built-in controls, retesting, and evaluation of background activation; implementing the multiple variants of the Y2H vector systems is essential to reduce the false negatives and ensure comprehensive coverage of an interactome.

Reverse two-hybrid techniques in the yeast Saccharomyces cerevisiae

Use of the yeast two-hybrid system has provided definition to many previously uncharacterized pathways through the identification and characterization of novel protein-protein interactions. The two-hybrid system uses the bifunctional nature of transcription factors, such as the yeast enhancer Gal4, to allow protein-protein interactions to be monitored through changes in transcription of reporter genes. Once a positive interaction has been identified, either of the interacting proteins can be mutated by site-specific or randomly introduced changes, to produce proteins with a decreased ability to interact. Mutants generated using this strategy are very powerful reagents in tests of the biological significance of the interaction and in defining the residues involved in the interaction. Such techniques are termed reverse two-hybrid methods. We describe a reverse two-hybrid method that generates loss-of-interaction mutations of the catalytic subunit of the Escherichia coli heat-labile toxin (LTA1) with decreased binding to the active (GTP-bound) form of human ARF3, its protein cofactor. While newer methods are emerging for performing interaction screens in mammalian cells, instead of yeast, the use of reverse two-hybrid in yeast remains a robust and powerful means of identifying loss-of-interaction point mutants and compensating changes that remain among the most powerful tools of testing the biological significance of a protein-protein interaction.

Targeting the Dbl and dock-family RhoGEFs: a yeast-based assay to identify cell-active inhibitors of Rho-controlled pathways

The Ras-like superfamily of low molecular weight GTPases is made of five major families (Arf/Sar, Rab, Ran, Ras, and Rho), highly conserved across evolution. This is in keeping with their roles in basic cellular functions (endo/exocytosis, vesicular trafficking, nucleocytoplasmic trafficking, cell signaling, proliferation and apoptosis, gene regulation, F-actin dynamics), whose alterations are associated with various types of diseases, in particular cancer, neurodegenerative, cardiovascular, and infectious diseases. For these reasons, Ras-like pathways are of great potential in therapeutics and identifying inhibitors that decrease signaling activity is under intense research. Along this line, guanine exchange factors (GEFs) represent attractive targets. GEFs are proteins that promote the active GTP-bound state of GTPases and represent the major entry points whereby extracellular cues are converted into Ras-like signaling. We previously developed the yeast exchange assay (YEA), an experimental setup in the yeast in which activity of a mammalian GEF can be monitored by auxotrophy and color reporter genes. This assay was further engineered for medium-throughput screening of GEF inhibitors, which can readily select for cell-active and specific compounds. We report here on the successful identification of inhibitors against Dbl and CZH/DOCK-family members, GEFs for Rho GTPases, and on the experimental setup to screen for inhibitors of GEFs of the Arf family. We also discuss on inhibitors developed using virtual screening (VS), which target the GEF/GTPase interface with high efficacy and specificity. We propose that using VS and YEA in combination may represent a method of choice for identifying specific and cell-active GEF inhibitors.

[Protocols of proteins interactomics: molecular fishing on optical chips and magnetic nanoparticles]

Now it is absolutely clear, that the majority of proteins in living systems function due to interaction with each other in stable or dynamic proteins complexes. Therefore necessity of deeper studies of proteins functions causes expansion of protein-protein interaction research. In the present review the brief description and comparative estimation of experimental methods and protocols of protein interactomics, based on technology of molecular fishing on an optical chips and paramagnetic nanoparticles is given.

Diversity in genetic in vivo methods for protein-protein interaction studies: from the yeast two-hybrid system to the mammalian split-luciferase system

The yeast two-hybrid system pioneered the field of in vivo protein-protein interaction methods and undisputedly gave rise to a palette of ingenious techniques that are constantly pushing further the limits of the original method. Sensitivity and selectivity have improved because of various technical tricks and experimental designs. Here we present an exhaustive overview of the genetic approaches available to study in vivo binary protein interactions, based on two-hybrid and protein fragment complementation assays. These methods have been engineered and employed successfully in microorganisms such as Saccharomyces cerevisiae and Escherichia coli, but also in higher eukaryotes. From single binary pairwise interactions to whole-genome interactome mapping, the self-reassembly concept has been employed widely. Innovative studies report the use of proteins such as ubiquitin, dihydrofolate reductase, and adenylate cyclase as reconstituted reporters. Protein fragment complementation assays have extended the possibilities in protein-protein interaction studies, with technologies that enable spatial and temporal analyses of protein complexes. In addition, one-hybrid and three-hybrid systems have broadened the types of interactions that can be studied and the findings that can be obtained. Applications of these technologies are discussed, together with the advantages and limitations of the available assays.

Flavone ingredients can synergistically inhibit NDV infecting cell and improve ND vaccine's protective rate

In order to screen better flavone prescriptions of anti-Newcastle disease virus (NDV), four flavone ingredients of epimedium flavones (EF), baikal skullcap root flavones (BSRF), wild dendranthema flower flavones (WDFF), and sanchi flavones (SF) screened in previous experiments and their prescriptions were added into chicken embryo fibroblast monolayer with three drug-adding modes respectively. The cellular A(570) values, the highest virus inhibitory rates and the score based on virus inhibitory rate were calculated to compare their antiviral activity. In immune protective test, the effects of three preparations (EF-BSRF, EF-SF-WDFF-BSRF and EF-WDFF-BSRF screened by the results in vitro experiment) on NDV infection were compared in chickens vaccinated with ND vaccine then challenged with NDV. Blood was regularly sampled for serum antibody titer determination. The pathogenic and dead statuses of chickens were clinically examined. The results indicated that the A(570) values of the nine prescriptions, especially the foresaid three prescriptions at almost all concentrations in three drug-adding modes were significantly higher than that of the virus control group. The foresaid three prescriptions presented at the top five of the highest virus inhibitory rate, and located at the highest three of the score rank. The antibody titers and protective rates of the three prescriptions groups were higher than that of VC group, especially EF-SF-WDFF-BSRF group showed significant difference. These results indicated that flavone prescriptions composed with suitable compatibility could possess synergistical action of antiviral effect, ES-SF-WDFF-BSRF prescription could inhibit the cellular infectivity of NDV, improve the protective effect of ND vaccine and would be expected to exploit into a new-type antiviral drug.

Analysis of protein-protein interactions using high-throughput yeast two-hybrid screens

The yeast two-hybrid (Y2H) system is a powerful tool to identify binary protein-protein interactions. Here, we describe array-based two-hybrid methods that use defined libraries of open reading frames (ORFs) and pooled prey library screenings that use random genomic or cDNA libraries. The array-based Y2H system is well-suited for interactome studies of existing ORFeomes or subsets thereof, preferentially in a recombination-based cloning system. Array-based Y2H screens efficiently reduce false positives by using built-in controls, retesting, and evaluation of background activation. Hands-on time and the amount of used resources grow exponentially with the number of tested proteins; this is a disadvantage for large genome sizes. For large genomes, random library screen may be more efficient in terms of time and resources, but not as comprehensive as array screens, and it requires significant sequencing capacity. Furthermore, multiple variants of the Y2H vector systems detect markedly different subsets of interactions in the same interactome. Hence, only multiple variations of the Y2H systems ensure comprehensive coverage of an interactome.

Matrix-based yeast two-hybrid screen strategies and comparison of systems

Today, matrix-based screens are used primarily for smaller and medium-size clone collections in combination with automation and cloning techniques that allow for reliable and fast interaction screening. Matrix-based yeast two-hybrid screens are an alternative to library-based screens. However, intermediary forms are possible too and we compare both strategies, including a detailed discussion of matrix-based screens. Recent improvement of matrix screens (also called array screens) uses various pooling strategies as well as novel vectors that increase their efficiency while decreasing false-negative rates and increasing reliability.

Phage display of combinatorial peptide libraries: application to antiviral research

Given the growing number of diseases caused by emerging or endemic viruses, original strategies are urgently required: (1) for the identification of new drugs active against new viruses and (2) to deal with viral mutants in which resistance to existing antiviral molecules has been selected. In this context, antiviral peptides constitute a promising area for disease prevention and treatment. The identification and development of these inhibitory peptides require the high-throughput screening of combinatorial libraries. Phage-display is a powerful technique for selecting unique molecules with selective affinity for a specific target from highly diverse combinatorial libraries. In the last 15 years, the use of this technique for antiviral purposes and for the isolation of candidate inhibitory peptides in drug discovery has been explored. We present here a review of the use of phage display in antiviral research and drug discovery, with a discussion of optimized strategies combining the strong screening potential of this technique with complementary rational approaches for identification of the best target. By combining such approaches, it should be possible to maximize the selection of molecules with strong antiviral potential.

High-quality binary interactome mapping

Physical interactions mediated by proteins are critical for most cellular functions and altogether form a complex macromolecular "interactome" network. Systematic mapping of protein-protein, protein-DNA, protein-RNA, and protein-metabolite interactions at the scale of the whole proteome can advance understanding of interactome networks with applications ranging from single protein functional characterization to discoveries on local and global systems properties. Since the early efforts at mapping protein-protein interactome networks a decade ago, the field has progressed rapidly giving rise to a growing number of interactome maps produced using high-throughput implementations of either binary protein-protein interaction assays or co-complex protein association methods. Although high-throughput methods are often thought to necessarily produce lower quality information than low-throughput experiments, we have recently demonstrated that proteome-scale interactome datasets can be produced with equal or superior quality than that observed in literature-curated datasets derived from large numbers of small-scale experiments. In addition to performing all experimental steps thoroughly and including all necessary controls and quality standards, careful verification of all interacting pairs and validation tests using independent, orthogonal assays are crucial to ensure the release of interactome maps of the highest possible quality. This chapter describes a high-quality, high-throughput binary protein-protein interactome mapping pipeline that includes these features.

[New strategies for the development of antiviral molecules]

Antiviral research is a recent discipline and the number of molecules available to fight against viral infections remains still insufficient. However, both diseases caused by emerging endemic viruses and the existence of resistance from some viruses against antiviral make necessary a constant search for new antiviral drugs. Parallel to the development of traditional molecules such as nucleoside analogues, whose effectiveness is well demonstrated, pharmaceutical industry is now turning to new solutions such as antiviral peptides, which constitute a new exploration field in therapy. The recent progress in disciplines such as genomics, proteomics and structural biology have improved our fundamental understanding of the viral world. These advances can be used to efficiently create new drugs more selective and more effective. Identification and development of these molecules require the use of newer techniques such as high-throughput screening of combinatorial compound libraries and the use of new bioinformatics tools. This review aims to present some recent methods for the development of antiviral molecules.

A novel histone acetyltransferase inhibitor modulating Gcn5 network: cyclopentylidene-[4-(4'-chlorophenyl)thiazol-2-yl)hydrazone

Acetylation is a key modulator of genome accessibility through decondensation of the chromatin structure. The balance between acetylation and opposite deacetylation is, in fact, a prerequisite for several cell functions and differentiation. To find modulators of the histone acetyltransferase Gcn5p, we performed a phenotypic screening on a set of newly synthesized molecules derived from thiazole in budding yeast Saccharomyces cerevisiae. We selected compounds that induce growth inhibition in yeast strains deleted in genes encoding known histone acetyltransferases. A novel molecule CPTH2, cyclopentylidene-[4-(4'-chlorophenyl)thiazol-2-yl)hydrazone, was selected based on its inhibitory effect on the growth of a gcn5Delta strain. We demonstrated a specific chemical-genetic interaction between CPTH2 and HAT Gcn5p, indicating that CPTH2 inhibits the Gcn5p dependent functional network. CPTH2 inhibited an in vitro HAT reaction, which is reverted by increasing concentration of histone H3. In vivo, it decreased acetylation of bulk histone H3 at the specific H3-AcK14 site. On the whole, our results demonstrate that CPTH2 is a novel HAT inhibitor modulating Gcn5p network in vitro and in vivo.

Analysis of protein-protein interactions using array-based yeast two-hybrid screens

The yeast two-hybrid system (Y2H) is a powerful tool to identify protein-protein interactions. Here we describe array-based two-hybrid methods that use defined libraries of open reading frames (ORFs) as opposed to random genomic or cDNA libraries. The array-based Y2H system is well suited for interactome studies of existing ORFeomes or subsets thereof, preferentially in a recombination-based cloning system. Array-based Y2H screens efficiently reduce false positives by using built-in controls, retesting, and evaluation of background activation. Hands-on time and the amount of used resources grow exponentially with the number of tested proteins; this is a disadvantage for large genome sizes. For large genomes, random library screen may be more efficient in terms of time and resources, but not as comprehensive as array screens, and they require an efficient sequencing facility. However, large array screens require some extent of automation although they can be carried out manually on smaller scales. Future-generation Y2H plasmid constructs including tightly regulated expression systems and features that facilitate biochemical characterization will provide more efficient and powerful tools to identify interacting proteins.

Identifying small-molecule modulators of protein-protein interactions

This unit outlines methods for identifying cyclic peptides that inhibit protein-protein interactions. Proteins of interest are cloned into a two-hybrid system engineered to operate in reverse, allowing the disruption of a protein complex to be coupled to cell growth. Cyclic peptide libraries are generated using an intein-based plasmid construct, and the cyclized sequence is randomized using a PCR procedure. By transforming plasmid libraries into host cells containing the two-hybrid fusions, cyclic peptide inhibitors can be identified by growing the cells under the appropriate selective conditions. A detailed procedure for performing the genetic selection and identifying false positives is provided. Methods for building the two-hybrid protein fusions and optimizing media conditions, as well as an additional protocol for constructing cyclic peptide libraries are also provided.

Resolving the network of cell signaling pathways using the evolving yeast two-hybrid system

In 1983, while investigators had identified a few human proteins as important regulators of specific biological outcomes, how these proteins acted in the cell was essentially unknown in almost all cases. Twenty-five years later, our knowledge of the mechanistic basis of protein action has been transformed by our increasingly detailed understanding of protein-protein interactions, which have allowed us to define cellular machines. The advent of the yeast two-hybrid (Y2H) system in 1989 marked a milestone in the field of proteomics. Exploiting the modular nature of transcription factors, the Y2H system allows facile measurement of the activation of reporter genes based on interactions between two chimeric or "hybrid" proteins of interest. After a decade of service as a leading platform for individual investigators to use in exploring the interaction properties of interesting target proteins, the Y2H system has increasingly been applied in high-throughput applications intended to map genome-scale protein-protein interactions for model organisms and humans. Although some significant technical limitations apply, Y2H has made a great contribution to our general understanding of the topology of cellular signaling networks.

A Novel Approach for Generating Full-length, High Coverage Allele Libraries for the Analysis of Protein Interactions

The yeast reverse two-hybrid method was developed to identify mutations disrupting protein-protein interactions. Adoption of the method has been slow, in large part, due to the high frequency of truncation and frameshift mutants typically observed with current protocols. We have developed a new strategy, based on in vitro recombinational cloning and full-length selection in Escherichia coli, to eliminate this background and dramatically increase the efficiency of the reverse two-hybrid protocol. The method was tested by generating an allele library of MyoD1 and selecting for alleles with defective interaction with Id1. Our results confirm that most of the interaction-defective alleles contain a single point mutation in the known interaction domain, the basic helix-loop-helix region. Moreover analysis of the crystal structure of MyoD reveals that the majority of these mutations occurred at the interaction interface. The results obtained using this novel approach for allele library generation demonstrate a significant advancement in the application of yeast reverse two-hybrid screens. Furthermore this method is applicable to any loss-of-function mutant screen where truncated proteins are a source of high background.

From protein-protein complexes to interactomics

Protein-protein interactions (or PPIs) are key elements for the normal functioning of a living cell. A large description of the protein interactomics field is given in this review where different aspects will be discussed. We first give an introduction of the different large scale experimental approaches from yeast two-hybrid to mass spectrometry used to discover PPIs and build protein interaction maps. Single PPI validation techniques such as co-immunoprecipitation or fluorescence methods are then presented as they are more and more integrated in global PPI discovery strategy. Data from different experimental sets are compared and an assessment of the different large scale technologies is presented. Bioinformatics tools can also predict with a good accuracy PPIs in silico, PPIs databases are now numerous and topological analysis has led to interesting insights into the nature of network connection. Finally, PPI, as an association of two proteins, has been structurally characterized for many protein complexes and is largely discussed throughout existing examples. The results obtained so far already provide the biologist with a large set of structured data from which knowledge on pathways and associated protein function can be extracted.

How to comprehensively analyse proteins and how this influences nutritional research

Proteomics, the comprehensive analysis of a protein complement in a cell, tissue or biological fluid at a given time, is a key platform within the "omic" technologies that also encompass genomics (gene analysis), transcriptomics (gene expression analysis) and metabolomics (metabolite profiling). This review summarises protein pre-separation, identification, quantification and modification/interaction analysis and puts them into perspective for nutritional R and D. Mass spectrometry has progressed with regard to mass accuracy, resolution and protein identification performance. Separation, depletion and enrichment techniques can increasingly cope with complexity and dynamic range of proteomic samples. Hence, proteomic studies currently provide a broader, albeit still incomplete, coverage of a given proteome. Proteomics adapted and applied to nutrition and health should demonstrate ingredient efficacy, deliver biomarkers for health and disease disposition, help in differentiating dietary responders from non-responders, and discover bioactive food components.

Identification of TRIO-GEFD1 chemical inhibitors using the yeast exchange assay

BACKGROUND INFORMATION

Rho GTPases are involved in many biological processes and participate in cancer development. Their activation is catalysed by exchange factors [RhoGEFs (Rho GTPase guanine nucleotide-exchange factor)] of the Dbl family. RhoGEFs display proto-oncogenic features, thus appearing as candidate targets for anticancer drugs. Dominant-negative Rho GTPase mutants have been widely used to block RhoGEF signalling. However, these tools suffer from limitations, due to the high number of RhoGEFs and the complex mechanisms that control Rho GTPase activation.

RESULTS

RhoG-T17N is a poor inhibitor of its exchange factor TRIO-GEFD1 (first exchange domain of the exchange factor TRIO) in vivo: although it binds to TRIO-GEFD1, RhoG-T17N does not block the downstream signalling. Using the yeast exchange assay, we show that in the presence of TRIO-GEFD1, RhoG-T17N can bind to its effectors, which illustrates how negative mutants may produce misleading interpretations and emphasizes the need for new types of RhoGEF inhibitors. In that prospect, we adapted the yeast exchange assay method to identify RhoGEF inhibitors. Using this novel approach, we screened a 3500-chemical-compound library and identified a potential inhibitor of TRIO-GEFD1. This molecule inhibited TRIO-GEFD1 in vitro. Among the chemical analogues of this compound, we identified two molecules with better inhibitory activity. The three TRIO-GEFD1 inhibitors had no effect on ARHGEF17 and ARNO [ARF (ADP-ribosylation factor) nucleotide-binding-site opener], two exchange factors for RhoA and Arf1 respectively.

CONCLUSIONS

The development of RhoGEF inhibitors appears as a valuable tool for the study of Rho GTPase signalling pathways. The yeast exchange assay adaptation we present here is suitable to screen for chemical or peptide libraries and identify candidate inhibitors.

Biomarker discovery and compound evaluation using two-hybrid proteomic systems

Many proteomic technologies require a heavy investment in expertise and technology, which place these approaches beyond many labs and small companies. However, proteomic approaches are ideal for pilot experiments, identifying relevant biomarkers and protein pathways for development or analysis of therapeutic compounds. The two-hybrid proteomic systems are available and affordable to most researchers, requiring little more than standard microbiological equipment. The screens rapidly generate data, identifying protein interactions that can be used to construct small local protein networks. Using data from large-scale projects, these small local protein networks can be used to identify the larger cellular pathways that are being affected by therapeutic compounds in the screen. The foundation for the two-hybrid proteomic systems are commercially available, as are high quality cDNA libraries. The straightforwardness of the two-hybrid proteomic system allows smaller groups to focus their resources on critical cellular pathways and molecular targets by taking advantage of a trusted molecular assay and an ever growing set of postgenomic era databases.

The Amino-terminal domain of tntegrin beta3 functions as a transcriptional activator in yeast

A deletion mutant encoding the integrin beta3(4I-F56) with an additional Gln at the carboxyl terminus was found occassionally when we were constructing a counterselection yeast two-hybrid assay modle. This mutant exhibited strong transcriptional activation in yeast cells, bearing the Escherichia coli lacZ reporter gene encoding the beta-galactosidase under the transcriptional control of GAL4 promoter and TATA box. Further analysis revealed that the region between the amino acid residues 23C to S77, an acidic domain involved in the function of several transcriptional activators were critical for optimal level of transactivation.

Identification of beta-lactamase inhibitory peptide using yeast two-hybrid system

Random oligonucleotide fragments were designed and amplified by PCR and fused with the activating domain of pGAD424 to construct a random peptide library. The DNA fragment encoding beta-lactamase was fused with the binding domain of pGBT9(+2). Subsequently, using yeast two-hybrid system we found two positive clones encoding peptides P1 and P2 that have the ability to bind beta-lactamase in vivo. The genes encoding P1 and P2 were cloned into pGEX-4T-1. GST-peptide fusion proteins were expressed in Escherichia coli and isolated by glutathione-Sepharose 4B affinity chromatography. Finally, P1 and P2 were cleaved from the fusion protein with thrombin and purified by ultrafiltration. Inhibition assay of peptides with beta-lactamase in vitro indicated that only P1 has the ability to inhibit beta-lactamase.

Reverse MAPPIT: screening for protein-protein interaction modifiers in mammalian cells

Interactions between proteins are at the heart of the cellular machinery. It is therefore not surprising that altered interaction profiles caused by aberrant protein expression patterns or by the presence of mutations can trigger cellular dysfunction, eventually leading to disease. Moreover, many viral and bacterial pathogens rely on protein-protein interactions to exert their damaging effects. Interfering with such interactions is an obvious pharmaceutical goal, but detailed insights into the protein binding properties as well as efficient screening platforms are needed. In this report, we describe a cytokine receptor-based assay with a positive readout to screen for disrupters of designated protein-protein interactions in intact mammalian cells and evaluate this concept using polypeptides as well as small organic molecules. These reverse mammalian protein-protein interaction trap (MAPPIT) screens were developed to monitor interactions between the erythropoietin receptor (EpoR) and suppressors of cytokine signaling (SOCS) proteins, between FKBP12 and ALK4, and between MDM2 and p53.

Interactome modeling

A long-term goal of the field of interactome modeling is to understand how global and local properties of complex macromolecular networks impact on observable biological properties, and how changes in such properties can lead to human diseases. The information available at this stage of development of the field provides strong evidence for the existence of such interesting global and local properties, but also demonstrates that many more datasets will be needed to provide accurate models with increasingly predictive capacity. This review focuses on an early attempt at mapping a multicellular interactome network and on the lessons learned from that attempt.

Novel mobilizable prokaryotic two-hybrid system vectors for high-throughput protein interaction mapping in Escherichia coli by bacterial conjugation

Since its initial description, the yeast two-hybrid (Y2H) system has been widely used for the detection and analysis of protein–protein interactions. Mating-based strategies have been developed permitting its application for automated proteomic interaction mapping projects using both exhaustive and high-throughput strategies. More recently, a number of prokaryotic two-hybrid (P2H) systems have been developed but, despite the many advantages such Escherichia coli-based systems have over the Y2H system, they have not yet been widely implemented for proteomic interaction mapping. This may be largely due to the fact that high-throughput strategies employing bacterial transformation are not as amenable to automation as Y2H mating-based strategies. Here, we describe the construction of novel conjugative P2H system vectors. These vectors carry a mobilization element of the IncPα group plasmid RP4 and can therefore be mobilized with high efficiency from an E.coli donor strain encoding all of the required transport functions in trans. We demonstrate how these vectors permit the exploitation of bacterial conjugation for technically simplified and automated proteomic interaction mapping strategies in E.coli, analogous to the mating-based strategies developed for the Y2H system.

Assembly of turnip yellow mosaic virus replication complexes: interaction between the proteinase and polymerase domains of the replication proteins

Turnip yellow mosaic virus (TYMV), a positive-strand RNA virus in the alphavirus-like supergroup, encodes two nonstructural replication proteins (140K and 66K), both of which are required for its RNA genome replication. The 140K protein contains domains indicative of methyltransferase, proteinase, and NTPase/helicase activities, while the 66K protein encompasses the RNA-dependent RNA polymerase domain. Recruitment of the 66K protein to the sites of viral replication, located at the periphery of chloroplasts, is dependent upon the expression of the 140K protein. Using antibodies raised against the 140K and 66K proteins and confocal microscopy, we report the colocalization of the TYMV replication proteins at the periphery of chloroplasts in transfected or infected cells. The replication proteins cofractionated in functional replication complexes or with purified chloroplast envelope membranes prepared from infected plants. Using a two-hybrid system and coimmunoprecipitation experiments, we also provide evidence for a physical interaction of the TYMV replication proteins. In contrast to what has been found for other members of the alphavirus-like supergroup, the interaction domains were mapped to the proteinase domain of the 140K protein and to a large region encompassing the core polymerase domain within the 66K protein. Coexpression and colocalization experiments confirmed that the helicase domain of the 140K protein is unnecessary for the proper recruitment of the 66K protein to the chloroplast envelope, while the proteinase domain appears to be essential for that process. These results support a novel model for the interaction of TYMV replication proteins and suggest that viruses in the alphavirus-like supergroup may have selected different pathways to assemble their replication complexes.

The path in fungal plant pathogenicity: many opportunities to outwit the intruders?

The number of genes implicated in the infection and disease processes of phytopathogenic fungi is increasing rapidly. Forward genetic approaches have identified mutated genes that affect pathogenicity, host range, virulence and general fitness. Likewise, candidate gene approaches have been used to identify genes of interest based on homology and recently through 'comparative genomic approaches' through analysis of large EST databases and whole genome sequences. It is becoming clear that many genes of the fungal genome will be involved in the pathogen-host interaction in its broadest sense, affecting pathogenicity and the disease process in planta. By utilizing the information obtained through these studies, plants may be bred or engineered for effective disease resistance. That is, by trying to disable pathogens by hitting them where it counts.

Proteome analysis by mass spectrometry

The coupling of high-performance mass spectrometry instrumentation with highly efficient chromatographic and electrophoretic separations has enabled rapid qualitative and quantitative analysis of thousands of proteins from minute samples of biological materials. Here, we review recent progress in the development and application of mass spectrometry-based techniques for the qualitative and quantitative analysis of global proteome samples derived from whole cells, tissues, or organisms. Techniques such as multidimensional peptide and protein separations coupled with mass spectrometry, accurate mass measurement of peptides from global proteome digests, and mass spectrometric characterization of intact proteins hold great promise for characterization of highly complex protein mixtures. Advances in chemical tagging and isotope labeling techniques have enabled quantitative analysis of proteomes, and highly specific isolation strategies have been developed aimed at selective analysis of posttranslationally modified proteins.

Clathrin light and heavy chain interface: alpha-helix binding superhelix loops via critical tryptophans

Clathrin light chain subunits (LCa and LCb) contribute to regulation of coated vesicle formation to sort proteins during receptor-mediated endocytosis and organelle biogenesis. LC binding to clathrin heavy chain (HC) was characterized by genetic and structural approaches. The core interactions were mapped to HC residues 1267-1522 (out of 1675) and LCb residues 90-157 (out of 228), using yeast two-hybrid assays. The C-termini of both subunits also displayed interactions extending beyond the core domains. Mutations to helix breakers within the LCb core disrupted HC association. Further suppressor mutagenesis uncovered compensatory mutations in HC (K1415E or K1326E) capable of rescuing the binding defects of LCb mutations W127R or W105R plus W138R, thereby pinpointing contacts between HC and LCb. Mutant HC K1415E also rescued loss of binding by LCa W130R, indicating that both LCs interact similarly with HC. Based on circular dichroism data, mapping and mutagenesis, LCa and LCb were represented as alpha-helices, aligned along the HC and, using molecular dynamics, a structural model of their interaction was generated with novel implications for LC control of clathrin assembly.

Detection of peptides, proteins, and drugs that selectively interact with protein targets

Genome sequencing has been completed for multiple organisms, and pilot proteomic analyses reported for yeast and higher eukaryotes. This work has emphasized the facts that proteins are frequently engaged in multiple interactions, and that governance of protein interaction specificity is a primary means of regulating biological systems. In particular, the ability to deconvolute complex protein interaction networks to identify which interactions govern specific signaling pathways requires the generation of biological tools that allow the distinction of critical from noncritical interactions. We report the application of an enhanced Dual Bait two-hybrid system to allow detection and manipulation of highly specific protein-protein interactions. We summarize the use of this system to detect proteins and peptides that target well-defined specific motifs in larger protein structures, to facilitate rapid identification of specific interactors from a pool of putative interacting proteins obtained in a library screen, and to score specific drug-mediated disruption of protein-protein interaction.

Protein-protein interactions as targets for antiviral chemotherapy

Most cellular and viral processes depend on the coordinated formation of protein-protein interactions. With a better understanding of the molecular biology and biochemistry of human viruses it has become possible to screen for and detect inhibitors with activity against specific viral functions and to develop new approaches for the treatment of viral infections. A novel strategy to inhibit viral replication is based on the disruption of viral protein-protein complexes by peptides that mimic either face of the interaction between subunits. Peptides and peptide mimetics capable of dissociating protein-protein interactions have such exquisite specificity that they hold great promise as the next generation of therapeutic agents. This review is focused on recent developments using peptides and small molecules to inhibit protein-protein interactions between cellular and/or viral proteins with comments on the practicalities of transforming chemical leads into derivatives with the characteristics desired of medicinal compounds.

Optical imaging fiber-based single live cell arrays: a high-density cell assay platform

A high-density, ordered array containing thousands of microwells is fabricated on an optical imaging fiber. Each individually addressable microwell is used to accommodate a single living cell. A charged coupled device (CCD) detector is employed to monitor and spatially resolve the fluorescence signals obtained from each individual cell, allowing simultaneous monitoring of cellular responses of all the cells in the array using reporter genes (lacZ, EGFP, ECFP, DsRed) or fluorescent indicators. Yeast and bacteria cell arrays were fabricated and used to perform multiplexed cell assays with resolution at the single-cell level. Monitoring gene expression in single yeast cells carrying a two-hybrid system was used to detect in vivo protein-protein interactions. The single-cell array technology provides a new platform for monitoring the unique multiple responses of large populations of individual cells from different strains or cell lines. The rich data acquired by the cell array has the potential to be employed as a new tool for cell biology research as well as to improve cell-based high-throughput screening (HTS) applications, such as the validation of new disease-associated cellular targets and the early-stage evaluation of potential drug candidates.

The post-genomic era of interactive proteomics: facts and perspectives

The availability of completed genome sequences of several eukaryotic and prokaryotic species has shifted the focus towards the identification and characterization of all gene products that are expressed in a given organism. In order to cope with the huge amounts of data that have been provided by large-scale sequencing projects, high-throughout methodologies also need to be applied in the emerging field of proteomics. In this review, we discuss methods that have been recently developed in order to characterize protein interactions and their functional relevance on a large scale. We then focus on those methodologies that are suitable for the identification and characterization of protein-protein interactions, namely the yeast two-hybrid system and related methods. Several recent studies have demonstrated the power of automated approaches involving the yeast two-hybrid system in building so-called "interaction networks", which hold the promise of identifying the entirety of all interactions that take place between proteins expressed in a certain cell type or organism. We compare the yeast two-hybrid system with several other screening methods that have been developed to investigate interactions between proteins that are not amenable to conventional yeast two-hybrid screenings, such as transcriptional activators and integral membrane proteins. The eventual adaptation of such methods to a high-throughput format and their use in combination with automated yeast two-hybrid screenings will help in elucidating protein-protein interactions on a scale that would have been unthinkable just a few years ago.

Clinical and functional target validation using tissue and cell microarrays

Expression levels of thousands of genes or proteins can be readily determined using microarray techniques. However, this represents only the first step in understanding the biological and medical significance of these molecules. New high-throughput techniques, such as tissue and cell microarrays, will facilitate clinical and functional analysis of molecular targets.

Identification of potential interaction networks using sequence-based searches for conserved protein-protein interactions or "interologs"

Protein interaction maps have provided insight into the relationships among the predicted proteins of model organisms for which a genome sequence is available. These maps have been useful in generating potential interaction networks, which have confirmed the existence of known complexes and pathways and have suggested the existence of new complexes and or crosstalk between previously unlinked pathways. However, the generation of such maps is costly and labor intensive. Here, we investigate the extent to which a protein interaction map generated in one species can be used to predict interactions in another species.

A protein-protein interaction map of the Caenorhabditis elegans 26S proteasome

The ubiquitin-proteasome proteolytic pathway is pivotal in most biological processes. Despite a great level of information available for the eukaryotic 26S proteasome-the protease responsible for the degradation of ubiquitylated proteins-several structural and functional questions remain unanswered. To gain more insight into the assembly and function of the metazoan 26S proteasome, a two-hybrid-based protein interaction map was generated using 30 Caenorhabditis elegans proteasome subunits. The results recapitulate interactions reported for other organisms and reveal new potential interactions both within the 19S regulatory complex and between the 19S and 20S subcomplexes. Moreover, novel potential proteasome interactors were identified, including an E3 ubiquitin ligase, transcription factors, chaperone proteins and other proteins not yet functionally annotated. By providing a wealth of novel biological hypotheses, this interaction map constitutes a framework for further analysis of the ubiquitin-proteasome pathway in a multicellular organism amenable to both classical genetics and functional genomics.

Mapping protein-protein interactions with combinatorial biology methods

Extremely diverse, DNA-encoded libraries of peptides and proteins have been constructed that include a linkage between each polypeptide and the encoding DNA. Library members can be selected by virtue of a particular binding specificity, and their protein sequence can be deduced from the sequence of the cognate DNA. Such combinatorial biology methods have proven invaluable in both identifying natural protein-protein interactions and also in mapping the specificities and energetics of these interactions in fine detail.

Using the yeast interaction trap and other two-hybrid-based approaches to study protein-protein interactions

The detection of physical interaction between two or more molecules of interest can be facilitated if the act of association between the interactive partners leads to the production of a readily observed biological or physical readout. Many interacting molecule pairs (X, Y) can be made to induce such a readout if X and Y are each fused to defined protein elements with desired properties. For example, in the yeast forward two-hybrid system, X is synthesized as a translational fusion to a DNA-binding domain (DBD), Y is synthesized as a fusion to a transcriptional activation domain (AD), and coexpression of DBD-X and AD-Y induces transcription of easily scored responsive reporters. Other approaches use paradigms based on the artificial production of two, hybrid, molecules, but substitute a variety of readouts including the repression of transcription, activation of signal transduction pathways, or reconstitution of a disrupted enzymatic activity. In this article, we summarize a number of two-hybrid-based approaches, and detail the use of the forward yeast two-hybrid system in a screen to identify novel interacting partners for a protein of interest.

Proteomics of the nervous system

The recent success of large-scale industrialized genomic sequencing opens new doors in studies of biological systems. In the current post-genomic era we must ask how to translate this DNA sequence information into an understanding of living cells, tissues and organisms. One of the major goals is to characterize protein function, biochemical pathways and networks. Achieving this aim is greatly advanced by application of new proteomic tools combined with database mining. Neuroscience in particular is poised to benefit from these approaches in light of its high complexity and cross-talk between different neurotransmitter receptors within the same synapse or across the synaptic cleft. Little is known about the global in vivo protein interactions within synapses, and the knowledge of all proteins present in such structures will help in determining sub-complexes and the modular arrangement of proteins within them. This article reviews the impact of and outlines the application of proteomic analysis in the field of neuroscience, illustrating this with the example of NMDA receptor complexes.