Integrating a functional proteomic approach into the target discovery process

Functional proteomics is a promising technique for the rational identification of novel therapeutic targets by elucidation of the function of newly identified proteins in disease-relevant cellular pathways. Of the recently described high-throughput approaches for analyzing protein-protein interactions, the yeast two-hybrid (Y2H) system has turned out to be one of the most suitable for genome-wide analysis. However, this system presents a challenging technical problem: the high prevalence of false positives and false negatives in datasets due to intrinsic limitations of the technology and the use of a high-throughput, genetic assay. We discuss here the different experimental strategies applied to Y2H assays, their general limitations and advantages. We also address the issue of the contribution of protein interaction mapping to functional biology, especially when combined with complementary genomic and proteomic analyses. Finally, we illustrate how the combination of protein interaction maps with relevant functional assays can provide biological support to large-scale protein interaction datasets and contribute to the identification and validation of potential therapeutic targets.     

Automated purification of recombinant proteins: combining high-throughput with high yield

Protein crystallography, mapping protein interactions, and other functional genomic approaches require purifying many different proteins, each of sufficient yield and homogeneity, for subsequent high-throughput applications. To fill this requirement efficiently, there is a need to develop robust, automated, high-throughput protein expression, and purification processes. We developed and compared two alternative workflows for automated purification of recombinant proteins based on expression of bacterial genes in Escherichia coli (E. coli). The first is a filtration separation protocol in which proteins of interest are expressed in a large volume, 800 ml of E. coli cultures, then isolated by filtration purification using Ni-NTA-Agarose (Qiagen). The second is a smaller scale magnetic separation method in which proteins of interest are expressed in a small volume, 25 ml, of E. coli cultures then isolated using a 96-well purification system with MagneHis Ni2+ Agarose (Promega). Both workflows provided comparable average yields of proteins, about 8 microg of purified protein per optical density unit of bacterial culture measured at 600 nm. We discuss advantages and limitations of these automated workflows, which can provide proteins with more than 90% purity and yields in the range of 100 microg to 45 mg per purification run, as well as strategies for optimizing these protocols.     

Improving yeast two-hybrid screening systems.

Yeast two-hybrid (Y2H) screening methods are an effective means for the detection of protein-protein interactions. Optimisation and automation has increased the throughput of the method to an extent that allows the systematic mapping of protein-protein interactions on a proteome-wide scale. Since two-hybrid screens fail to detect a great number of interactions, parallel high-throughput approaches are needed for proteome-wide interaction screens. In this review, we discuss and compare different approaches for adaptation of Y2H screening to high-throughput, the limits of the method and possible alternative approaches to complement the mapping of organism-wide protein-protein interactions.     

A surface display yeast two-hybrid screening system for high-throughput protein interactome mapping

Despite the wide acceptance of yeast two-hybrid (Y2H) system for protein-protein interaction analysis and discovery, conventional Y2H assays are not well suited for high-throughput screening of the protein interaction network (“interactome”) on a genomic scale due to several limitations, including labor-intensive agar plating and colony selection methods associated with the use of nutrient selection markers, complicated reporter analysis methods associated with the use of LacZ enzyme reporters, and incompatibility of the liquid handling robots. We recently reported a robust liquid culture Y2H system based on quantitative analysis of yeast-enhanced green fluorescent protein (yEGFP) reporters that greatly increased the analysis throughput and compatibility with liquid handling robots. To further advance its utility in high-throughput complementary DNA (cDNA) library screening, we report the development of a novel surface display Y2H (sdY2H) library screening system with uniquely integrated surface display hemagglutination (sdHA) antigen and yEGFP reporters. By introduction of a surface reporter sdHA into the yEGFP-based Y2H system, positive Y2H targets are quickly isolated from library cells by a simple magnetic separation without a large plating effort. Moreover, the simultaneous scoring of multiple reporters, including sdHA, yEGFP, and conventional nutrient markers, greatly increased the specificity of the Y2H assay. The feasibility of the sdY2H assay on large cDNA library screening was demonstrated by the successful recovery of positive P53/T interaction pairs at a target-to-background ratio of 1:1,000,000. Together with the massive parallel DNA sequencing technology, it may provide a powerful proteomic tool for high-throughput interactome mapping on a genomic scale.     

Development and application of a DNA microarray-based yeast two-hybrid system

The yeast two-hybrid (Y2H) system is the most widely applied methodology for systematic protein–protein interaction (PPI) screening and the generation of comprehensive interaction networks. We developed a novel Y2H interaction screening procedure using DNA microarrays for high-throughput quantitative PPI detection. Applying a global pooling and selection scheme to a large collection of human open reading frames, proof-of-principle Y2H interaction screens were performed for the human neurodegenerative disease proteins huntingtin and ataxin-1. Using systematic controls for unspecific Y2H results and quantitative benchmarking, we identified and scored a large number of known and novel partner proteins for both huntingtin and ataxin-1. Moreover, we show that this parallelized screening procedure and the global inspection of Y2H interaction data are uniquely suited to define specific PPI patterns and their alteration by disease-causing mutations in huntingtin and ataxin-1. This approach takes advantage of the specificity and flexibility of DNA microarrays and of the existence of solid-related statistical methods for the analysis of DNA microarray data, and allows a quantitative approach toward interaction screens in human and in model organisms.     

A combined yeast/bacteria two-hybrid system: development and evaluation

Two-hybrid screening is a standard method used to identify and characterize protein-protein interactions and has become an integral component of many proteomic investigations. The two-hybrid system was initially developed using yeast as a host organism. However, bacterial two-hybrid systems have also become common laboratory tools and are preferred in some circumstances, although yeast and bacterial two-hybrid systems have never been directly compared. We describe here the development of a unified yeast and bacterial two-hybrid system in which a single bait expression plasmid is used in both organismal milieus. We use a series of leucine zipper fusion proteins of known affinities to compare interaction detection using both systems. Although both two-hybrid systems detected interactions within a comparable range of interaction affinities, each demonstrated unique advantages. The yeast system produced quantitative readout over a greater dynamic range than that observed with bacteria. However, the phenomenon of "autoactivation" by baits was less of a problem in the bacterial system than in the yeast. Both systems identified physiological interactors for a library screen with a cI-Ras test bait; however, non-identical interactors were obtained in yeast and bacterial screens. The ability to rapidly shift between yeast and bacterial systems provided by these new reagents should provide a marked advantage for two-hybrid investigations. In addition, the modified expression vectors we describe in this report should be useful for any application requiring facile expression of a protein of interest in both yeast and bacteria.     

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Significant efforts were gathered to generate large-scale comprehensive protein-protein interaction network maps. This is instrumental to understand the pathogen-host relationships and was essentially performed by genetic screenings in yeast two-hybrid systems. The recent improvement of protein-protein interaction detection by a Gaussia luciferase-based fragment complementation assay now offers the opportunity to develop integrative comparative interactomic approaches necessary to rigorously compare interaction profiles of proteins from different pathogen strain variants against a common set of cellular factors.This paper specifically focuses on the utility of combining two orthogonal methods to generate protein-protein interaction datasets: yeast two-hybrid (Y2H) and a new assay, high-throughput Gaussia princeps protein complementation assay (HT-GPCA) performed in mammalian cells.A large-scale identification of cellular partners of a pathogen protein is performed by mating-based yeast two-hybrid screenings of cDNA libraries using multiple pathogen strain variants. A subset of interacting partners selected on a high-confidence statistical scoring is further validated in mammalian cells for pair-wise interactions with the whole set of pathogen variants proteins using HT-GPCA. This combination of two complementary methods improves the robustness of the interaction dataset, and allows the performance of a stringent comparative interaction analysis. Such comparative interactomics constitute a reliable and powerful strategy to decipher any pathogen-host interplays.     

High-throughput yeast two-hybrid assays for large-scale protein interaction mapping

Protein-protein interactions play fundamental roles in many biological processes. Hence, protein interaction mapping is becoming a well-established functional genomics approach to generate functional annotations for predicted proteins that so far have remained uncharacterized. The yeast two-hybrid system is currently one of the most standardized protein interaction mapping techniques. Here, we describe the protocols for a semiautomated, high-throughput, Gal4-based yeast two-hybrid system.     

Generation and Characterization of Yeast Two-Hybrid cDNA Libraries Derived From Two Distinct Mouse Pluripotent Cell Types

Pluripotent stem cells have the therapeutic potential in future regenerative medicine applications. Therefore, it is highly important to understand the molecular mechanisms governing the pluripotency and differentiation potential of these cells. Our current knowledge of pluripotent cells is largely limited owing to the candidate gene/protein approach rather than studying the complex interactions of the proteins. Experimentally, yeast two-hybrid system (Y2H) is by far the most useful and widely used method to detect the protein–protein interactions in high-throughput screenings. Unfortunately, currently there is no GAL4-based pluripotent stem cell-specific cDNA library available for screening the interaction proteins impeding the large-scale studies. In this study, we report the construction of Y2H cDNA libraries derived from mouse pluripotent embryonic stem cells (ESCs) and multipotent adult germ-line stem cells (maGSCs) in GAL4-based Y2H vector system with very high transformation efficiency. Furthermore, we have constructed two different baits and screened for interaction partners in an effort to characterize the libraries and also as a part of our ongoing studies. Consequently, many putative interaction proteins were identified in both cases and their interaction was further validated by direct-Y2H. The observed interactions between bait proteins and their respective analyzed putative interaction proteins were further confirmed using two independent approaches in mammalian cells, thus highlighting the biological significance of the identified interactor (s). Finally, we would like to make these cDNA libraries as a resource that can be distributed to the research community.     

Chemical screening of an inhibitor for gibberellin receptors based on a yeast two-hybrid system

We applied a yeast two-hybrid (Y2H) system to the high-throughput monitoring of two proteins’ interaction, a receptor for phytohormone gibberellin (GA) and its direct signal transducer DELLA. With this system, we screened inhibitors to the interaction. As a result, we discovered a chemical, 3-(2-thienylsulfonyl)pyrazine-2-carbonitrile (TSPC), and we confirmed that TSPC is an inhibitor for GA perception by in vitro and in planta evaluations.     

Simultaneous cloning of open reading frames into several different expression vectors

Genomic sequencing has enabled the prediction of thousands of genes, most of which either cannot be assigned a function or can be only broadly categorized on the basis of sequence alone. High-throughput strategies for elucidating protein function are of high priority, and numerous approaches are being developed. Many of these approaches require the cloning of open reading frames (ORFs) into expression vectors that enable the encoded proteins to be tested for biological and biochemical activities. Typically, more than one type of vector must be employed, as different experiments require different conditions of protein production. Here we show that it is possible to simultaneously transfer a single ORF from a source vector to four target vectors using a commercially available in vitro recombination system. To test the approach, we constructed new vectors for expression of fusion proteins in yeast, including vectors for the LexA two-hybrid system. We show that individual ORFs can be efficiently transferred to four different vectors in a single in vitro reaction. The resulting expression plasmids can be separated using prototrophic markers specific to each vector. Using this system to produce multiple expression constructs simultaneously could greatly facilitate high-throughput subcloning and proteomic studies.     

Predicting co-complexed protein pairs using genomic and proteomic data integration

Background  

Identifying all protein-protein interactions in an organism is a major objective of proteomics. A related goal is to know which protein pairs are present in the same protein complex. High-throughput methods such as yeast two-hybrid (Y2H) and affinity purification coupled with mass spectrometry (APMS) have been used to detect interacting proteins on a genomic scale. However, both Y2H and APMS methods have substantial false-positive rates. Aside from high-throughput interaction screens, other gene- or protein-pair characteristics may also be informative of physical interaction. Therefore it is desirable to integrate multiple datasets and utilize their different predictive value for more accurate prediction of co-complexed relationship.     

Construction of a reading frame-independent yeast two-hybrid vector system for site-specific recombinational cloning and protein interaction screening

The yeast two-hybrid (Y2H) system is a powerful method to identify protein-protein inter-actions (PPI) in vivo, requiring minimal prior information of the putative interactors. The time and effort required for each experiment can be significantly reduced if the "bait" and the "prey" proteins are cloned into specific recombination-amenable two-hybrid vectors. We describe the construction of a reading frame-independent vector system for Y2H PPI studies. The described vector system knits together the advantages of site-specific recombination cloning with the Y2H system. The produced plasmids enable recombination-based cloning of genes or gene fragments in all possible reading frames into Y2H library vectors. Thus, Y2H screening libraries can be rapidly constructed and will present more amino termini in the correct reading frame. Additionally, advantageous for small-scale Y2H studies, there is no need to know the natural reading frame of the genes of interest, because the bait and prey genes can be transferred into the vectors by a single reaction and are present in all possible reading frames. Since the Y2H system per se is a positive selection system, only pairs of bait and prey genes harboring the correct reading frames will emerge. We tested the new vectors within the Y2H system and demonstrated full functionality without any undesired effects on the Y2H system itself. Besides the vector construction, we investigated the utility of the system for Y2H analysis and demonstrated clearly its practicability in genome-wide Y2H screenings and the advantage of using additional reading-frame Y2H cDNA libraries. We performed a series of genome-wide Y2H library screenings with the human vitamin D receptor protein (VDR) as bait. We investigated: (i) whether more protein interactors are found by using three instead of one reading-frame destination vectors; (ii) how much overlap between the different reading-frame libraries exists; and (iii) the rate of possible additional autoactivators. We conclude that our vectors deliver significantly more interactors and outperform a single reading-frame library. This new system could enable simple and fast large-scale PPI studies and the construction of high-quality screening libraries.     

A human protein-protein interaction network: a resource for annotating the proteome

Protein-protein interaction maps provide a valuable framework for a better understanding of the functional organization of the proteome. To detect interacting pairs of human proteins systematically, a protein matrix of 4456 baits and 5632 preys was screened by automated yeast two-hybrid (Y2H) interaction mating. We identified 3186 mostly novel interactions among 1705 proteins, resulting in a large, highly connected network. Independent pull-down and co-immunoprecipitation assays validated the overall quality of the Y2H interactions. Using topological and GO criteria, a scoring system was developed to define 911 high-confidence interactions among 401 proteins. Furthermore, the network was searched for interactions linking uncharacterized gene products and human disease proteins to regulatory cellular pathways. Two novel Axin-1 interactions were validated experimentally, characterizing ANP32A and CRMP1 as modulators of Wnt signaling. Systematic human protein interaction screens can lead to a more comprehensive understanding of protein function and cellular processes.     

Increasing specificity in high-throughput yeast two-hybrid experiments

Since its inception, the yeast two-hybrid (Y2H) system has proven to be an efficient system to identify novel protein-protein interactions. However, Y2H screens are sometimes criticized for generating high rates of false-positives. Minimizing false-positive interactions is especially important in proteome wide high-throughput (HT) Y2H. Here, we summarize various approaches that reduce false-positives in HT-Y2H projects. We evaluated the potential of examining putative positives after removing the prey encoding plasmid by negative selection. We found that this method reliably identifies false-positives caused by spontaneous conversion of baits into auto-activators and provides significant time-savings in HT screens. In addition, we present a method to eliminate an important source of false-positives: contaminating prey plasmids. Y2H interactors can be wrongly identified due to the presence of two or more different plasmids in the cells of a single yeast colony. Of these independent plasmids, only one encodes a genuine interactor. Contaminating plasmids are eliminated by extended culture of yeast cells under positive selection for the interaction, allowing the identification of the true interaction partner.     

Barcode fusion genetics-protein-fragment complementation assay (BFG-PCA): tools and resources that expand the potential for binary protein interaction discovery

Barcode fusion genetics (BFG) utilizes deep sequencing to improve the throughput of protein–protein interaction (PPI) screening in pools. BFG has been implemented in Yeast two-hybrid (Y2H) screens (BFG-Y2H). While Y2H requires test protein pairs to localize in the nucleus for reporter reconstruction, dihydrofolate reductase protein-fragment complementation assay (DHFR-PCA) allows proteins to localize in broader subcellular contexts and proves to be largely orthogonal to Y2H. Here, we implemented BFG to DHFR-PCA (BFG-PCA). This plasmid-based system can leverage ORF collections across model organisms to perform comparative analysis, unlike the original DHFR-PCA that requires yeast genomic integration. The scalability and quality of BFG-PCA were demonstrated by screening human and yeast interactions for >11 000 bait-prey pairs. BFG-PCA showed high-sensitivity and high-specificity for capturing known interactions for both species. BFG-Y2H and BFG-PCA capture distinct sets of PPIs, which can partially be explained based on the domain orientation of the reporter tags. BFG-PCA is a high-throughput protein interaction technology to interrogate binary PPIs that exploits clone collections from any species of interest, expanding the scope of PPI assays.