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Results for “protein interaction mapping”

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PubMed2004

A high resolution protein interaction map of the yeast Mediator complex.

Mediator is a large, modular protein complex remotely conserved from yeast to man that conveys regulatory signals from DNA-binding transcription factors to RNA polymerase II. In Saccharomyces cerevisiae, Mediator is thought to be composed of 24 subunits organized in four sub-complexes, termed the head, middle, tail and Cdk8 (Srb8-11) modules. In this work, we have used screening and pair-wise two-hybrid approaches to investigate protein-protein contacts between budding yeast Mediator subunits. The derived interaction map includes the delineation of numerous interaction domains between Mediator subunits, frequently corresponding to segments that have been conserved in evolution, as well as novel connections between the Cdk8 (Srb8-11) and head modules, the head and middle modules, and the middle and tail modules. The two-hybrid analysis, together with co-immunoprecipitation studies and gel filtration experiments revealed that Med31 (Soh1) is associated with the yeast Mediator that therefore comprises 25 subunits. Finally, analysis of the protein interaction network within the Drosophila Mediator middle module indicated that the structural organization of the Mediator complex is conserved from yeast to metazoans. The resulting interaction map provides a framework for delineating Mediator structure-function and investigating how Mediator function is regulated.

Animals↗
PubMed2001

Generating protein interaction maps from incomplete data: application to fold assignment.

MOTIVATION: We present a framework to generate comprehensive overviews of protein-protein interactions. In the post-genomic view of cellular function, each biological entity is seen in the context of a complex network of interactions. Accordingly, we model functional space by representing protein-protein-interaction data as undirected graphs. We suggest a general approach to generate interaction maps of cellular networks in the presence of huge amounts of fragmented and incomplete data, and to derive representations of large networks which hide clutter while keeping the essential architecture of the interaction space. This is achieved by contracting the graphs according to domain-specific hierarchical classifications. The key concept here is the notion of induced interaction, which allows the integration, comparison and analysis of interaction data from different sources and different organisms at a given level of abstraction. RESULTS: We apply this approach to compute the overlap between the DIP compendium of interaction data and a dataset of yeast two-hybrid experiments. The architecture of this network is scale-free, as frequently seen in biological networks, and this property persists through many levels of abstraction. Connections in the network can be projected downwards from higher levels of abstraction down to the level of individual proteins. As an example, we describe an algorithm for fold assignment by network context. This method currently predicts protein folds at 30% accuracy without any requirement of detectable sequence similarity of the query protein to a protein of known structure. We used this algorithm to compile a list of structural assignments for previously unassigned genes from yeast. Finally we discuss ways forward to use interaction networks for the prediction of novel protein-protein interactions. AVAILABILITY: http://www.ebi.ac.uk/~lappe/FoldPred/.

Algorithms↗
PubMed2003

Protein-protein interaction map for yeast TFIID.

A major rate-limiting step in transcription initiation by RNA polymerase II is recognition and binding of the TATA element by the transcription factor TFIID. TFIID is composed of TATA binding protein (TBP) and approximately a dozen TBP-associated factors (TAFs). Emerging consensus regarding the role of TAFs is that TFIID assumes a gene specific activity that is regulated by interaction with other factors. In spite of many studies demonstrating the essential nature of TAFs in transcription, very little is known about the subunit contacts within TFIID. To understand fully the functional role of TAFs, it is imperative to define TAF-TAF interactions and their topological arrangement within TFIID. We performed a systematic two-hybrid analysis using the 13 essential TAFs of the Saccharomyces cerevisiae TFIID complex and TBP. Specific interactions were defined for each component, and the biological significance of these interactions is supported by numerous genetic and biochemical studies. By combining the interaction profiles presented here, and the available studies utilizing specific TAFs, we propose a working hypothesis for the arrangement of components in the TFIID complex. Thus, these results serve as a foundation for understanding the overall architecture of yeast TFIID.

Protein Binding↗
PubMed2004

Building protein interaction maps for Down's syndrome.

Now that the complete sequences for human chromosome 21 and the orthologous mouse genomic regions are known, reasonably complete, conserved, protein-coding gene catalogues are also available. The central issue now facing Down's syndrome researchers is the correlation of increased expression of specific, normal, chromosome 21 genes with the development of specific deficits in learning and memory. Because of the number of candidate genes involved, the number of alternative splice variants of individual genes and the number of pathways in which these genes function, a pathway analysis approach will be critical to success. Here, three examples, both gene specific and pathway related, that would benefit from pathway analysis are discussed: (1) the potential roles of eight chromosome 21 proteins in RNA processing pathways; (2) the chromosome 21 protein intersectin 1 and its domain composition, alternative splicing, protein interactions and functions; and (3) the interactions of ten chromosome 21 proteins with components of the mitogen-activated protein kinase and the calcineurin signalling pathways. A productive approach to developing gene-phenotype correlations in Down's syndrome will make use of known and predicted functions and interactions of chromosome 21 genes to predict pathways that may be perturbed by their increased levels of expression. Investigations may then be targeted in animal models to specific interactions, intermediate steps or end-points of such pathways and the downstream - perhaps amplified - consequences of gene dosage directly assessed. Once pathway perturbations have been identified, the potential for rational design of therapeutics becomes practical.

Animals↗
PubMed2005

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 IncPalpha 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.

Bacterial Proteins↗
PubMed1999

Protein interaction maps for complete genomes based on gene fusion events.

A large-scale effort to measure, detect and analyse protein-protein interactions using experimental methods is under way. These include biochemistry such as co-immunoprecipitation or crosslinking, molecular biology such as the two-hybrid system or phage display, and genetics such as unlinked noncomplementing mutant detection. Using the two-hybrid system, an international effort to analyse the complete yeast genome is in progress. Evidently, all these approaches are tedious, labour intensive and inaccurate. From a computational perspective, the question is how can we predict that two proteins interact from structure or sequence alone. Here we present a method that identifies gene-fusion events in complete genomes, solely based on sequence comparison. Because there must be selective pressure for certain genes to be fused over the course of evolution, we are able to predict functional associations of proteins. We show that 215 genes or proteins in the complete genomes of Escherichia coli, Haemophilus influenzae and Methanococcus jannaschii are involved in 64 unique fusion events. The approach is general, and can be applied even to genes of unknown function.

Artificial Gene Fusion↗
PubMed2000

Protein-protein interactions mapped by artificial proteases: where sigma factors bind to RNA polymerase.

Interactions between proteins are important to understand but difficult to study. Conjugating a protein to a small artificial protease endows it with the ability to cut other proteins where it binds to them. Analysing the sites cut on the target proteins leads to new understanding of the structure of each complex. The binding of sigma factors to a common region on RNA polymerase provides an example.

Bacterial Proteins↗
PubMed2003

Collagen-protein interactions mapped by phototriggered thiol introduction.

Accumulating evidence shows that collagen plays important roles in many biological systems by interacting with various proteins. The major limitation to determining protein-binding sites on collagen has been a lack of useful methods. We have developed a new strategy for mapping these sites using a photoreactive cross-linker, APDP. A unique -SH group can be introduced into collagen in the vicinity of the protein-binding sites by DTT reduction of the SS bond in the cross-linked product. To identify the sites of cross-linking in collagen, the strategy used was as follows: (i) derivatization of the free -SH group with fluorescein-5-maleimide (FM); (ii) fragmentation of collagen with an appropriate collagenase; (iii) separation of FM-labeled fragments by two-dimensional diagonal electrophoresis; and (iv) detection of cross-linked partners of collagen-binding protein as fluorescent spots under UV light. This strategy can be used to determine the binding sites of various proteins on collagen.

Binding Sites↗
PubMed2003

Fanconi anemia protein complex: mapping protein interactions in the yeast 2- and 3-hybrid systems.

Fanconi anemia (FA) is an autosomal recessive syndrome characterized by progressive bone marrow failure and cancer predisposition. Eight FA complementation groups have been identified. The FANCA, FANCC, FANCE, FANCF, and FANCG proteins form a nuclear complex required for the monoubiquination of the FANCD2 protein. To investigate the architecture of the FA protein complex, the yeast 2-hybrid system was used to map contact points of the FANCA/FANCG, FANCC/FANCE, and FANCF/FANCG interactions. FANCG was shown to interact with both the amino-terminus of FANCA and the carboxyl-terminal region of FANCF. A FANCG mutant truncated at the carboxyl-terminus retained the ability to interact with FANCA. The interaction between FANCG and FANCF was ablated by a Leu71Pro mutant of FANCG. A central region of FANCE was sufficient for FANCC binding. A Leu554Pro mutant of FANCC failed to interact with FANCE. To further examine complex assembly, the yeast 3-hybrid system was used to investigate the ability of FANCG to act as a molecular bridge in mediating interaction between other FA proteins. FANCG was able to mediate interaction between FANCA and FANCF, as well as between monomers of FANCA. Direct interaction between FANCE and FANCD2 was also demonstrated in the yeast 2-hybrid system. This interaction involving an amino-terminal region of FANCD2 may provide a link between the FA protein complex and its downstream targets.

Binding Sites↗
PubMed2001

Protein--protein interaction maps: a lead towards cellular functions.

The availability of complete genome sequences now permits the development of tools for functional biology on a proteomic scale. Several experimental approaches or in silico algorithms aim at clustering proteins into networks with biological significance. Among those, the yeast two-hybrid system is the technology of choice to detect protein-protein interactions. Recently, optimized versions were applied at a genomic scale, leading to databases on the web. However, as with any other 'genetic' assay, yeast two-hybrid assays are prone to false positives and false negatives. Here we discuss these various technologies, their general limitations and the potential advances they make possible, especially when in combination with other functional genomics or bioinformatics analyses.

Animals↗
PubMed2001

A protein interaction map for cell polarity development.

Many genes required for cell polarity development in budding yeast have been identified and arranged into a functional hierarchy. Core elements of the hierarchy are widely conserved, underlying cell polarity development in diverse eukaryotes. To enumerate more fully the protein-protein interactions that mediate cell polarity development, and to uncover novel mechanisms that coordinate the numerous events involved, we carried out a large-scale two-hybrid experiment. 68 Gal4 DNA binding domain fusions of yeast proteins associated with the actin cytoskeleton, septins, the secretory apparatus, and Rho-type GTPases were used to screen an array of yeast transformants that express approximately 90% of the predicted Saccharomyces cerevisiae open reading frames as Gal4 activation domain fusions. 191 protein-protein interactions were detected, of which 128 had not been described previously. 44 interactions implicated 20 previously uncharacterized proteins in cell polarity development. Further insights into possible roles of 13 of these proteins were revealed by their multiple two-hybrid interactions and by subcellular localization. Included in the interaction network were associations of Cdc42 and Rho1 pathways with proteins involved in exocytosis, septin organization, actin assembly, microtubule organization, autophagy, cytokinesis, and cell wall synthesis. Other interactions suggested direct connections between Rho1- and Cdc42-regulated pathways; the secretory apparatus and regulators of polarity establishment; actin assembly and the morphogenesis checkpoint; and the exocytic and endocytic machinery. In total, a network of interactions that provide an integrated response of signaling proteins, the cytoskeleton, and organelles to the spatial cues that direct polarity development was revealed.

Actins↗
PubMed2000

Building a protein interaction map: research in the post-genome era.

With the extensive amount of information generated by genome-wide sequencing, the entire set of gene products in an organism can now be predicted. The challenge of understanding the function of each gene in the genome has led to the development of many large-scale and high-throughput experimental techniques. Recently, two papers, Walhout et al.(1) and Uetz et al.,(2) have described studies that add a new functional dimension to research conducted on a genome-wide scale. These two groups have utilized the yeast two-hybrid system to identify interactions among the entire complement of proteins encoded by the Caenorhabditis elegans and the Saccharomyces cerevisiae genomes, respectively. Using a set of 29 genes that have been previously characterized, Walhout et al. demonstrated the feasibility and efficiency of this technique by building an interaction matrix among a large number of proteins. On an even larger scale, Uetz et al. conducted two-hybrid analyses using proteins that represent over 87% of the total gene products in yeast and identified interactions for about 15% of the total yeast proteins. BioEssays 22:503-506, 2000.

Animals↗
PubMed1999

Mapping protein-protein interactions with a library of tethered cutting reagents: the binding site of sigma 70 on Escherichia coli RNA polymerase.

Surface-exposed lysine amino groups and other reactive nucleophiles of the sigma 70 protein were conjugated with the cutting reagent iron (S)-1-[p-(bromoacetamido)benzyl]ethylenediaminetetraacetate (FeBABE) via 2-iminothiolane (2IT) with low efficiency. The result is a library of sigma 70 conjugates, with an average of 1-2 cutting reagents tethered to any of a variety of sites (lysine, cysteine, etc.) on the surface of the protein. Model calculations indicate that the conjugates in this library should be capable of cutting nearby sites on the backbone of almost any protein or nucleic acid to which sigma 70 binds. Since cutting occurs only when the protein is bound, the cleaved sites indicate proximity; since only proximal sites are cleaved, interpretation of the results is straightforward. We used this library to map the periphery of the binding site on the core enzyme (alpha 2 beta beta') of Escherichia coli RNA polymerase. The beta subunit was cut primarily within its conserved regions C, D, Rif I, and G; additional sites were also cut between A and B and near conserved regions E and H. The cut sites within the beta' subunit were intensely clustered between residues 250-450, which include its conserved regions C and D, along with two additional cut sites in conserved regions A and G. No cut sites on the alpha subunit were observed. These results recapitulate and extend those obtained using FeBABE conjugates of seven strategically placed single-Cys sigma 70 mutants [Owens, J. T., Miyake, R., Murakami, K., Chmura, A. J., Fujita, N., Ishihama, A., and Meares, C. F. (1998) Proc. Natl. Acad. Sci. U.S.A. 95, 6021-6026]. This technique provides a straightforward, general approach to mapping protein interactions without mutagenesis.

Binding Sites↗