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Results for “Protein Interaction Mapping”

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PubMed2004

Protective immunoglobulin A and G antibodies bind to overlapping intersubunit epitopes in the head domain of type 1 reovirus adhesin sigma1.

Nonfusogenic mammalian orthoreovirus (reovirus) is an enteric pathogen of mice and a useful model for studies of how an enteric virus crosses the mucosal barrier of its host and is subject to control by the mucosal immune system. We recently generated and characterized a new murine immunoglobulin A (IgA)-class monoclonal antibody (MAb), 1E1, that binds to the adhesin fiber, sigma1, of reovirus type 1 Lang (T1L) and thereby neutralizes the infectivity of that strain in cell culture. 1E1 is produced in hybridoma cultures as a mixture of monomers, dimers, and higher polymers and is protective against peroral challenges with T1L either when the MAb is passively administered or when it is secreted into the intestines of mice bearing subcutaneous hybridoma tumors. In the present study, selection and analysis of mutants resistant to neutralization by 1E1 identified the region of T1L sigma1 to which the MAb binds. The region bound by a previously characterized type 1 sigma1-specific neutralizing IgG MAb, 5C6, was identified in the same way. Each of the 15 mutants isolated and analyzed was found to be much less sensitive to neutralization by either 1E1 or 5C6, suggesting the two MAbs bind to largely overlapping regions of sigma1. The tested mutants retained the capacity to recognize specific glycoconjugate receptors on rabbit M cells and cultured epithelial cells, even though viral binding to epithelial cells was inhibited by both MAbs. S1 sequence determinations for 12 of the mutants identified sigma1 mutations at four positions between residues 415 and 447, which contribute to forming the receptor-binding head domain. When aligned with the sigma1 sequence of reovirus type 3 Dearing (T3D) and mapped onto the previously reported crystal structure of the T3D sigma1 trimer, the four positions cluster on the side of the sigma1 head, across the interface between two subunits. Three such interface-spanning epitopes are thus present per sigma1 trimer and require the intact quaternary structure of the head domain for MAb binding. Identification of these intersubunit epitopes on sigma1 opens the way for further studies of the mechanisms of antibody-based neutralization and protection with type 1 reoviruses.

Amino Acid Substitution↗

PubMed2002

Combined functional genomic maps of the C. elegans DNA damage response.

Many human cancers originate from defects in the DNA damage response (DDR). Although much is known about this process, it is likely that additional DDR genes remain to be discovered. To identify such genes, we used a strategy that combines protein-protein interaction mapping and large-scale phenotypic analysis in Caenorhabditis elegans. Together, these approaches identified 12 worm DDR orthologs and 11 novel DDR genes. One of these is the putative ortholog of hBCL3, a gene frequently altered in chronic lymphocytic leukemia. Thus, the combination of functional genomic mapping approaches in model organisms may facilitate the identification and characterization of genes involved in cancer and, perhaps, other human diseases.

Algorithms↗

PubMed2003

BIND: the Biomolecular Interaction Network Database.

The Biomolecular Interaction Network Database (BIND: http://bind.ca) archives biomolecular interaction, complex and pathway information. A web-based system is available to query, view and submit records. BIND continues to grow with the addition of individual submissions as well as interaction data from the PDB and a number of large-scale interaction and complex mapping experiments using yeast two hybrid, mass spectrometry, genetic interactions and phage display. We have developed a new graphical analysis tool that provides users with a view of the domain composition of proteins in interaction and complex records to help relate functional domains to protein interactions. An interaction network clustering tool has also been developed to help focus on regions of interest. Continued input from users has helped further mature the BIND data specification, which now includes the ability to store detailed information about genetic interactions. The BIND data specification is available as ASN.1 and XML DTD.

Amino Acid Sequence↗

PubMed2000

Forecasting roles of combinatorial chemistry in the age of genomically derived drug discovery targets.

Genomics has caused an explosion in the number of potential therapeutic targets with varying degrees of validated pathophysiology. Among the first applications of combinatorial chemistry in genomics-driven drug discovery is the search for surrogate ligands or substrates. In the event that no surrogate is found for molecular assays, more exotic functional screens in whole cells or model organisms are used. Protein-protein interaction mapping by yeast and mammalian two-hybrid systems dominates empirical functional genomics, and this will lead to a bias for screening projects targeting this type of interaction. Drug discovery for protein-protein interactions has a poor track record, and this will challenge prevailing views on the design of combinatorial libraries. Genomics based on structural homology will yield many putative kinases, receptors, enzymes, transporter proteins, ion channels and GPCRs. Most of these projects will require new surrogate agonists, ligands or substrates, and then pharmaceutically useful agonists or antagonists will need to be found. Again, combinatorial chemistry might be essential to these studies. Given the need to screen hundreds of targets at great risk of irrelevance to pathophysiology, combined with the challenge of finding surrogate or natural ligands for these new targets, there is an urgent need for efficiency. Different groups are addressing these concerns by developing biologically-driven combinatorial libraries in order to achieve a higher density of bioactivity. Early efforts in this regard will be described.

Combinatorial Chemistry Techniques↗

PubMed2003

Identification of human and mouse CatSper3 and CatSper4 genes: characterisation of a common interaction domain and evidence for expression in testis.

BACKGROUND: CatSper1 and CatSper2 are two recently identified channel-like proteins, which show sperm specific expression patterns. Through targeted mutagenesis in the mouse, CatSper1 has been shown to be required for fertility, sperm motility and for cAMP induced Ca2+ current in sperm. Both channels resemble a single pore forming repeat from a four repeat voltage dependent Ca2+ /Na+ channel. However, neither CatSper1 or CatSper2 have been shown to function as cation channels when transfected into cells, singly or in conjunction. As the pore forming units of voltage gated cation channels form a tetramer it has been suggested that the known CatSper proteins require additional subunits and/or interaction partners to function. RESULTS: Using in silico gene identification and prediction techniques, we have identified two further members of the CatSper family, CatSper3 and Catsper4. Each carries a single channel-forming domain with the predicted pore-loop containing the consensus sequence TxDxW. Each of the new CatSper genes has evidence for expression in the testis. Furthermore we identified coiled-coil protein-protein interaction domains in the C-terminal tails of each of the CatSper channels, implying that CatSper channels 1,2,3 and 4 may interact directly or indirectly to form a functional tetramer. CONCLUSIONS: The topological and sequence relationship of CatSper1 and CatSper2 to the four repeat Ca2+ /Na+ channels suggested other members of this family may exist. We have identified a further two novel CatSper genes, conserved in both the human and mouse genomes. Furthermore, all four of the CatSper proteins are predicted to contain a common coiled-coil protein-protein interaction domain in their C-terminal tail. Coupled with expression data this leads to the hypothesis that the CatSper proteins form a functional hetero-tetrameric channel in sperm.

Amino Acid Sequence↗

PubMed2005

A gene truncation strategy generating N- and C-terminal deletion variants of proteins for functional studies: mapping of the Sec1p binding domain in yeast Mso1p by a Mu in vitro transposition-based approach.

Bacteriophage Mu in vitro transposition constitutes a versatile tool in molecular biology, with applications ranging from engineering of single genes or proteins to modification of genome segments or entire genomes. A new strategy was devised on the basis of Mu transposition that via a few manipulation steps simultaneously generates a nested set of gene constructions encoding deletion variants of proteins. C-terminal deletions are produced using a mini-Mu transposon that carries translation stop signals close to each transposon end. Similarly, N-terminal deletions are generated using a transposon with appropriate restriction sites, which allows deletion of the 5'-distal part of the gene. As a proof of principle, we produced a set of plasmid constructions encoding both C- and N-terminally truncated variants of yeast Mso1p and mapped its Sec1p-interacting region. The most important amino acids for the interaction in Mso1p are located between residues T46 and N78, with some weaker interactions possibly within the region E79-N105. This general-purpose gene truncation strategy is highly efficient and produces, in a single reaction series, a comprehensive repertoire of gene constructions encoding protein deletion variants, valuable in many types of functional studies. Importantly, the methodology is applicable to any protein-encoding gene cloned in an appropriate vector.

Bacteriophage mu↗

PubMed2005

A systems biology perspective on protein structural dynamics and signal transduction.

The functional dynamics of signal transduction through protein interaction networks are determined both by network topology and by the signal processing properties of component proteins. In order to understand the emergent properties of signal transduction networks in terms of information processing, storage and decision making, we not only need to map the so-called 'interactome' but, perhaps more importantly, we also have to understand how the structural dynamics of constituent proteins shape non-linear responses through cooperativity and allostery. Several in silico methods have been developed to identify networks of cooperative residues in proteins and help infer their mode of action. Applying this type of analysis to important classes of modular signal transduction domains should, in principle, allow the function of these proteins to be abstracted in terms of their information processing characteristics, permitting better comprehension of the systemic properties of biological networks.

Binding Sites↗

PubMed2002

The binding site for TRAF2 and TRAF3 but not for TRAF6 is essential for CD40-mediated immunoglobulin class switching.

To define the role of TRAF proteins in CD40-dependent isotype switching in B cells, we introduced wild-type (WT) and mutant CD40 transgenes that lacked the binding motifs for TRAF6 (CD40deltaTRAF6), TRAF2 and TRAF3 (CD40deltaTRAF2/3), or both (CD40deltaTRAFs) into B cells of CD40(-/-) mice. The in vivo isotype switch defect in CD40(-/-) mice was fully corrected by WT and CD40deltaTRAF6, partially by CD40deltaTRAF2/3, and not at all by CD40deltaTRAFs transgenes. CD40-mediated isotype switching, proliferation, and activation of p38, JNK, and NFkappaB in B cells were normal in WT and CD40deltaTRAF6 mice, severely impaired in CD40deltaTRAF2/3, and absent in CD40deltaTRAFs mice. These results suggest that binding to TRAF2 and/or TRAF3 but not TRAF6 is essential for CD40 isotype switching and activation in B cells.

Amino Acid Motifs↗

PubMed2005

Interactome: gateway into systems biology.

Protein-protein interactions are fundamental to all biological processes, and a comprehensive determination of all protein-protein interactions that can take place in an organism provides a framework for understanding biology as an integrated system. The availability of genome-scale sets of cloned open reading frames has facilitated systematic efforts at creating proteome-scale data sets of protein-protein interactions, which are represented as complex networks or 'interactome' maps. Protein-protein interaction mapping projects that follow stringent criteria, coupled with experimental validation in orthogonal systems, provide high-confidence data sets immanently useful for interrogating developmental and disease mechanisms at a system level as well as elucidating individual protein function and interactome network topology. Although far from complete, currently available maps provide insight into how biochemical properties of proteins and protein complexes are integrated into biological systems. Such maps are also a useful resource to predict the function(s) of thousands of genes.

Animals↗

PubMed2003

Functional genomic maps in Caenorhabditis elegans.

The completion of the Caenorhabditis elegans genome sequence was the initial step toward the use of whole-genome analysis in this model organism. Advances in C. elegans genomics include transcript profiling, gene-function screens using RNA-mediated interference, and protein-interaction mapping using the yeast two-hybrid system. Recent reports have employed these methods to gain new insights into diverse biological problems such as tissue-specific gene expression, cell-fate specification, genome organization, the DNA damage response, and early embryonic development. These studies combined genomic approaches to probe complex biological pathways on an unprecedented scale.

Animals↗

PubMed2004

Coactivators p300 and PCAF physically and functionally interact with the foamy viral trans-activator.

BACKGROUND: Foamy virus Bel1/Tas trans-activators act as key regulators of gene expression and directly bind to Bel1 response elements (BRE) in both the internal and the 5'LTR promoters leading to strong transcriptional trans-activation. Cellular coactivators interacting with Bel1/Tas are unknown to date. RESULTS: Transient expression assays, co-immunoprecipitation experiments, pull-down assays, and Western blot analysis were used to demonstrate that the coactivator p300 and histone acetyltransferase PCAF specifically interact with the retroviral trans-activator Bel1/Tas in vivo. Here we show that the Bel1/Tas-mediated trans-activation was enhanced by the coactivator p300, histone acetyltransferases PCAF and SRC-1 based on the crucial internal promoter BRE. The Bel1/Tas-interacting region was mapped to the C/H1 domain of p300 by co-immunoprecipitation and pull-down assays. In contrast, coactivator SRC-1 previously reported to bind to the C-terminal domain of p300 did not directly interact with the Bel1 protein but nevertheless enhanced Bel1/Tas-mediated trans-activation. Cotransfection of Bel1/Tas and p300C with an expression plasmid containing the C/H1domain partially inhibited the p300C-driven trans-activation. CONCLUSIONS: Our data identify p300 and PCAF as functional partner molecules that directly interact with Bel1/Tas. Since the acetylation activities of the three coactivators reside in or bind to the C-terminal regions of p300, a C/H1 expression plasmid was used as inhibitor. This is the first report of a C/H1 domain-interacting retroviral trans-activator capable of partially blocking the strong Bel1/Tas-mediated activation of the C-terminal region of coactivator p300. The potential mechanisms and functional roles of the three histone and factor acetyltransferases p300, PCAF, and SRC-1 in Bel1/Tas-mediated trans-activation are discussed.

Acetyltransferases↗

PubMed2006

Common and specific properties of herpesvirus UL34/UL31 protein family members revealed by protein complementation assay.

The proteins encoded by the UL34 and UL31 genes of herpes simplex virus are conserved among herpesviruses. They form a complex that is essential for the egress of the herpesvirus nucleocapsids from the nucleus. In previous work on the homologous protein complex in murine cytomegalovirus (MCMV), we defined their mutual binding domains. Here, we started to map binding domains within the UL34/UL31 proteins of alpha-, beta-, and gammaherpesviruses and to locate other functional properties. A protein complementation assay (PCA) using the TEM-1 beta-lactamase fragments fused to UL31 and UL34 protein homologues was used to study protein-protein interactions in cells. Wild-type MCMV M50 and M53 provided a strong reaction in the PCA, whereas mutants unable to form a complex did not. The homologous pairs of herpes simplex virus type 1, pseudorabies virus, human cytomegalovirus (HCMV), Epstein-Barr virus (EBV), and murine herpes virus 68 proteins also reacted, with the exception of the EBV proteins. Cross-complementation was found to be positive only within the same herpesvirus subfamily. Moreover, the HCMV homologues rescued replication-defective MCMV genomes lacking one or the other gene. We identified the binding site of M53 for M50 in the first conserved region (CR1) (M. Loetzerich, Z. Ruzsics, and U. H. Koszinowski, J. Virol. 80:73-84). Here we show that the CR1 of all tested UL31 proteins contains the UL34 binding site, and chimeric proteins carrying the subfamily-specific CR1 rescued the ability to cross-complement in the PCA.

Animals↗

PubMed2006

A pooling-deconvolution strategy for biological network elucidation.

The generation of large-scale data sets is a fundamental requirement of systems biology. But despite recent advances, generation of such high-coverage data remains a major challenge. We developed a pooling-deconvolution strategy that can dramatically decrease the effort required. This strategy, pooling with imaginary tags followed by deconvolution (PI-deconvolution), allows the screening of 2(n) probe proteins (baits) in 2 x n pools, with n replicates for each bait. Deconvolution of baits with their binding partners (preys) can be achieved by reading the prey's profile from the 2 x n experiments. We validated this strategy for protein-protein interaction mapping using both proteome microarrays and a yeast two-hybrid array, demonstrating that PI-deconvolution can be used to identify interactions accurately with fewer experiments and better coverage. We also show that PI-deconvolution can be used to identify protein-small molecule interactions inferred from profiling the yeast deletion collection. PI-deconvolution should be applicable to a wide range of library-against-library approaches and can also be used to optimize array designs.

Computational Biology↗

PubMed2006

Functional analysis of the regulatory requirements of B-Raf and the B-Raf(V600E) oncoprotein.

The BRAF(V600E) mutation is found in approximately 6% of human cancers and mimics the phosphorylation of the kinase domain activation segment. In wild-type B-Raf (B-Raf(wt)), activation segment phosphorylation is thought to cooperate with negative charges within the N-region for full activation. In contrast to Raf-1, the N-region of B-Raf is constitutively negatively charged owing to the presence of residues D447/D448 and the phosphorylation of S446. Therefore, it has been suggested that this hallmark predisposes B-Raf for oncogenic activation. In this study, we demonstrate that neutralizing mutations of these residues (in particular S446 and S447), or uncoupling of B-Raf from Ras-guanine 5'-triphosphate (GTP), strongly reduce the biological activity of B-Raf in a PC12 cell differentiation assay. We also confirm that S365 is a 14-3-3 binding site, and determine that mutation of this residue rescues the impaired biological activity of B-Raf proteins with a neutralized N-region, suggesting that the N-region opposes a 14-3-3-mediated transition into an inactive conformation. However, in the case of B-Raf(V600E), although complete N-region neutralization resulted in a 2.5-fold reduction in kinase activity in vitro, this oncoprotein strongly induced PC12 differentiation or transformation and epithelial-mesenchymal transition of MCF-10A cells regardless of its N-region charge. Furthermore, the biological activity of B-Raf(V600E) was independent of its ability to bind Ras-GTP. Our analysis identifies important regulatory differences between B-Raf(wt) and B-Raf(V600E) and suggests that B-Raf(V600E) cannot be inhibited by strategies aimed at blocking S446 phosphorylation or Ras activation.

14-3-3 Proteins↗

PubMed2001

Evaluation of interactions of human cytomegalovirus immediate-early IE2 regulatory protein with small ubiquitin-like modifiers and their conjugation enzyme Ubc9.

The human cytomegalovirus (HCMV) major immediate-early protein IE2 is a nuclear phosphoprotein that is believed to be a key regulator in both lytic and latent infections. Using yeast two-hybrid screening, small ubiquitin-like modifiers (SUMO-1, SUMO-2, and SUMO-3) and a SUMO-conjugating enzyme (Ubc9) were isolated as IE2-interacting proteins. In vitro binding assays with glutathione S-transferase (GST) fusion proteins provided evidence for direct protein-protein interaction. Mapping data showed that the C-terminal end of SUMO-1 is critical for interaction with IE2 in both yeast and in vitro binding assays. IE2 was efficiently modified by SUMO-1 or SUMO-2 in cotransfected cells and in cells infected with a recombinant adenovirus expressing HCMV IE2, although the level of modification was much lower in HCMV-infected cells. Two lysine residues at positions 175 and 180 were mapped as major alternative SUMO-1 conjugation sites in both cotransfected cells and an in vitro sumoylation assay and could be conjugated by SUMO-1 simultaneously. Although mutations of these lysine residues did not interfere with the POD (or ND10) targeting of IE2, overexpression of SUMO-1 enhanced IE2-mediated transactivation in a promoter-dependent manner in reporter assays. Interestingly, many other cellular proteins identified as IE2 interaction partners in yeast two-hybrid assays also interact with SUMO-1, suggesting that either directly bound or covalently conjugated SUMO moieties may act as a bridge for interactions between IE2 and other SUMO-1-modified or SUMO-1-interacting proteins. When we investigated the intracellular localization of SUMO-1 in HCMV-infected cells, the pattern changed from nuclear punctate to predominantly nuclear diffuse in an IE1-dependent manner at very early times after infection, but with some SUMO-1 protein now associated with IE2 punctate domains. However, at late times after infection, SUMO-1 was predominantly detected within viral DNA replication compartments containing IE2. Taken together, these results show that HCMV infection causes the redistribution of SUMO-1 and that IE2 both physically binds to and is covalently modified by SUMO moieties, suggesting possible modulation of both the function of SUMO-1 and protein-protein interactions of IE2 during HCMV infection.

Amino Acid Sequence↗

PubMed2001

A comprehensive two-hybrid analysis to explore the yeast protein interactome.

Protein-protein interactions play crucial roles in the execution of various biological functions. Accordingly, their comprehensive description would contribute considerably to the functional interpretation of fully sequenced genomes, which are flooded with novel genes of unpredictable functions. We previously developed a system to examine two-hybrid interactions in all possible combinations between the approximately 6,000 proteins of the budding yeast Saccharomyces cerevisiae. Here we have completed the comprehensive analysis using this system to identify 4,549 two-hybrid interactions among 3,278 proteins. Unexpectedly, these data do not largely overlap with those obtained by the other project [Uetz, P., et al. (2000) Nature (London) 403, 623-627] and hence have substantially expanded our knowledge on the protein interaction space or interactome of the yeast. Cumulative connection of these binary interactions generates a single huge network linking the vast majority of the proteins. Bioinformatics-aided selection of biologically relevant interactions highlights various intriguing subnetworks. They include, for instance, the one that had successfully foreseen the involvement of a novel protein in spindle pole body function as well as the one that may uncover a hitherto unidentified multiprotein complex potentially participating in the process of vesicular transport. Our data would thus significantly expand and improve the protein interaction map for the exploration of genome functions that eventually leads to thorough understanding of the cell as a molecular system.

Fungal Proteins↗

PubMed2005

Exploration of the function and organization of the yeast early secretory pathway through an epistatic miniarray profile.

We present a strategy for generating and analyzing comprehensive genetic-interaction maps, termed E-MAPs (epistatic miniarray profiles), comprising quantitative measures of aggravating or alleviating interactions between gene pairs. Crucial to the interpretation of E-MAPs is their high-density nature made possible by focusing on logically connected gene subsets and including essential genes. Described here is the analysis of an E-MAP of genes acting in the yeast early secretory pathway. Hierarchical clustering, together with novel analytical strategies and experimental verification, revealed or clarified the role of many proteins involved in extensively studied processes such as sphingolipid metabolism and retention of HDEL proteins. At a broader level, analysis of the E-MAP delineated pathway organization and components of physical complexes and illustrated the interconnection between the various secretory processes. Extension of this strategy to other logically connected gene subsets in yeast and higher eukaryotes should provide critical insights into the functional/organizational principles of biological systems.

Cluster Analysis↗

PubMed2006

Pro-CrossLink. Software tool for protein cross-linking and mass spectrometry.

To facilitate structural analysis of proteins and protein-protein interactions, we developed Pro-CrossLink, a suite of software tools consisting of three programs (Figure 1), DetectShift, IdentifyXLink, and AssignXLink. DetectShift was developed to detect ions of cross-linked peptide pairs in a mixture of 18O-labeled peptides obtained from protein proteolytic digests. The selected candidate ions of cross-linked peptide pairs subsequently undergo tandem mass spectrometric (MS/MS) analysis for sequence determination. Based on the masses of candidate ions as well as y- and b-type ions in the tandem mass spectra, IdentifyXLink assigns the candidate ions to cross-linked peptide pairs. For an identified cross-linked peptide pair, AssignXLink generates an extensive fragment ion list, including a-, b-, c-type, x-, y-, z-type, internal, and immonium ions with associated common losses of H2O, NH3, CO, and CO2, and facilitates a precise location of the cross-linked residues. Pro-CrossLink is automated, highly configurable by the user, and applicable to many studies that map low-resolution protein structures and molecular interfaces in protein complexes.

Amino Acid Sequence↗