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Results for “Protein Interaction Mapping”

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At least 235 records · Page 13Linked to original sources

PubMed2005

Type II phosphatidylinositol 4-kinase beta associates with TCR-CD3 zeta chain in Jurkat cells.

Phosphatidylinositol lipid signaling cascades are integral part of TCR-CD3 signaling. The mechanisms by which phosphatidylinositol kinases are coupled to TCR-CD3 complex remain elusive. Here we report an association of type II PtdIns 4-kinase with TCR-CD3 zeta chain upon cross-linking. Mapping studies have revealed that the C-terminal ITAM is critical for docking of the enzyme on the zeta chain. The association is shown to be tyrosyl phosphorylation dependent as mutation of Y-151 and Y-142 on the C-terminal ITAM disrupts interaction of the two proteins. Identification of the associated type II PtdIns 4-kinase revealed that the beta isoform of the enzyme interacts with the zeta chain in vivo.

1-Phosphatidylinositol 4-Kinase↗

PubMed2005

Q-SiteFinder: an energy-based method for the prediction of protein-ligand binding sites.

MOTIVATION: Identifying the location of ligand binding sites on a protein is of fundamental importance for a range of applications including molecular docking, de novo drug design and structural identification and comparison of functional sites. Here, we describe a new method of ligand binding site prediction called Q-SiteFinder. It uses the interaction energy between the protein and a simple van der Waals probe to locate energetically favourable binding sites. Energetically favourable probe sites are clustered according to their spatial proximity and clusters are then ranked according to the sum of interaction energies for sites within each cluster. RESULTS: There is at least one successful prediction in the top three predicted sites in 90% of proteins tested when using Q-SiteFinder. This success rate is higher than that of a commonly used pocket detection algorithm (Pocket-Finder) which uses geometric criteria. Additionally, Q-SiteFinder is twice as effective as Pocket-Finder in generating predicted sites that map accurately onto ligand coordinates. It also generates predicted sites with the lowest average volumes of the methods examined in this study. Unlike pocket detection, the volumes of the predicted sites appear to show relatively low dependence on protein volume and are similar in volume to the ligands they contain. Restricting the size of the pocket is important for reducing the search space required for docking and de novo drug design or site comparison. The method can be applied in structural genomics studies where protein binding sites remain uncharacterized since the 86% success rate for unbound proteins appears to be only slightly lower than that of ligand-bound proteins. AVAILABILITY: Both Q-SiteFinder and Pocket-Finder have been made available online at http://www.bioinformatics.leeds.ac.uk/qsitefinder and http://www.bioinformatics.leeds.ac.uk/pocketfinder

Algorithms↗

PubMed2000

Domain repertoires as a tool to derive protein recognition rules.

Several approaches, some of which are described in this issue, have been proposed to assemble a complete protein interaction map. These are often based on high throughput methods that explore the ability of each gene product to bind any other element of the proteome of the organism. Here we propose that a large number of interactions can be inferred by revealing the rules underlying recognition specificity of a small number (a few hundreds) of families of protein recognition modules. This can be achieved through the construction and characterization of domain repertoires. A domain repertoire is assembled in a combinatorial fashion by allowing each amino acid position in the binding site of a given protein recognition domain to vary to include all the residues allowed at that position in the domain family. The repertoire is then searched by phage display techniques with any target of interest and from the primary structure of the binding site of the selected domains one derives rules that are used to infer the formation of complexes between natural proteins in the cell.

Amino Acid Motifs↗

PubMed2001

Http://C. elegans: mining the functional genomic landscape.

Caenorhabditis elegans is a powerful animal model for the study of functional genomics. The completed and well-annotated DNA sequence is available and a systematic study of gene function by RNA-interference-mediated knockdown of every gene is in progress. Full-genome DNA microarrays and DNA chips can be used to determine expression changes at different stages of development and in different mutant backgrounds, and a protein-interaction map based on the yeast two-hybrid approach is in progress. These high-capacity approaches to studying gene function will provide new insights into invertebrate and vertebrate biology.

Animals↗

PubMed2005

PSIbase: a database of Protein Structural Interactome map (PSIMAP).

UNLABELLED: Protein Structural Interactome map (PSIMAP) is a global interaction map that describes domain-domain and protein-protein interaction information for known Protein Data Bank structures. It calculates the Euclidean distance to determine interactions between possible pairs of structural domains in proteins. PSIbase is a database and file server for protein structural interaction information calculated by the PSIMAP algorithm. PSIbase also provides an easy-to-use protein domain assignment module, interaction navigation and visual tools. Users can retrieve possible interaction partners of their proteins of interests if a significant homology assignment is made with their query sequences. AVAILABILITY: http://psimap.org and http://psibase.kaist.ac.kr/

Binding Sites↗

PubMed2002

Ca2+-dependent block of CREB-CBP transcription by repressor DREAM.

The calcium-binding protein DREAM binds specifically to DRE sites in the DNA and represses transcription of target genes. Derepression at DRE sites following PKA activation depends on a specific interaction between alphaCREM and DREAM. Two leucine-charged residue-rich domains (LCD) located in the kinase-inducible domain (KID) and in the leucine zipper of alphaCREM and two LCDs in DREAM participate in a two-site interaction that results in the loss of DREAM binding to DRE sites and derepression. Since the LCD motif located within the KID in CREM is also present in CREB, and maps in a region critical for the recruitment of CBP, we investigated whether DREAM may affect CRE-dependent transcription. Here we show that in the absence of Ca2+ DREAM binds to the LCD in the KID of CREB. As a result, DREAM impairs recruitment of CBP by phospho CREB and blocks CBP-mediated transactivation at CRE sites in a Ca2+-dependent manner. Thus, Ca2+-dependent interactions between DREAM and CREB represent a novel point of cross-talk between cAMP and Ca2+ signalling pathways in the nucleus.

Brain↗

PubMed2003

A WW domain binding region in methyl-CpG-binding protein MeCP2: impact on Rett syndrome.

Rett syndrome is a dominant neurological disorder caused by loss-of-function mutations of methyl-CpG-binding protein 2 (MeCP2). MeCP2 is an abundant chromatin-associated protein that contains two well characterized domains. Through an N-terminal domain it recognizes methyl-CpGs and binds to nonmethylated DNA. A domain in the middle of the protein can act as a transcriptional repressor in transient transfection studies. The C-terminal region of the protein is equally essential for the function of MeCP2, as documented by recurrently found frameshift mutations. However, little is known about its functional role. Here we mapped a domain within MeCP2 capable of binding specifically to Group II WW domains of splicing factors formin-binding protein (FBP) 11 and HYPC. Binding was assessed by glutathione S-transferase pull-down assays and coimmunoprecipitation assays. The Group II WW domain binding region was localized from residue 325 to the C-terminus, with the interacting proline-rich sequence at its center. We then used comparison with genotype-phenotype studies in Rett syndrome patients to evaluate the relevance of Group II WW domain interactions of MeCP2 for pathogenesis. Truncation of the WW domain binding region by 48 C-terminal amino acids (to residue 438), causing Rett syndrome, resulted in reduced or loss of WW domain binding activity. Truncation to residue 400, representing a large group of frameshift mutations accounting for approx. 10% of Rett syndrome cases, abolished WW domain binding activity completely. On the other hand, two benign missense mutations did not affect binding. Furthermore, a short C-terminal truncation and an internal deletion, both causing mild to moderate mental retardation in males, were associated with weak or loss of WW domain binding activity.

Animals↗

PubMed1998

Two-hybrid systematic screening of the yeast proteome.

The yeast two-hybrid system is a genetic method that detects protein-protein interactions. One application is the detection by library screening of new interactors of a protein of known function. In the August issue of Nature Genetics, Fromont-Racine et al. showed for the first time that the construction of the protein interaction map of a complex pathway, such as that of the mRNA splicing machinery, is now possible, because of the combination of recent technical improvements elaborated in several laboratories. With a yeast cell mating procedure that increases screen efficiency, they used their complex yeast genomic library of 5 x 10(6) clones to test 700 x 10(6) interactions against 15 proteins. They identified and classified 170 potential interactors, including approximately 70 proteins of previously unknown function. More than 25% of the interactors are probably biologically relevant. The achievements of Fromont-Racine et al. have opened the way to the systematic analysis of the protein interaction networks of the 6,000 open reading frames-yeast proteome. This task requires, however, automation of the library screens and creation of a two-hybrid library database.

Fungal Proteins↗

PubMed2006

The rice kinase database. A phylogenomic database for the rice kinome.

The rice (Oryza sativa) genome contains 1,429 protein kinases, the vast majority of which have unknown functions. We created a phylogenomic database (http://rkd.ucdavis.edu) to facilitate functional analysis of this large gene family. Sequence and genomic data, including gene expression data and protein-protein interaction maps, can be displayed for each selected kinase in the context of a phylogenetic tree allowing for comparative analysis both within and between large kinase subfamilies. Interaction maps are easily accessed through links and displayed using Cytoscape, an open source software platform. Chromosomal distribution of all rice kinases can also be explored via an interactive interface.

Amino Acid Motifs↗

PubMed2002

Domain-oriented functional analysis based on expression profiling.

BACKGROUND: Co-regulation of genes may imply involvement in similar biological processes or related function. Many clusters of co-regulated genes have been identified using microarray experiments. In this study, we examined co-regulated gene families using large-scale cDNA microarray experiments on the human transcriptome. RESULTS: We present a simple model, which, for each probe pair, distills expression changes into binary digits and summarizes the expression of multiple members of a gene family as the Family Regulation Ratio. The set of Family Regulation Ratios for each protein family across multiple experiments is called a Family Regulation Profile. We analyzed these Family Regulation Profiles using Pearson Correlation Coefficients and derived a network diagram portraying relationships between the Family Regulation Profiles of gene families that are well represented on the microarrays. Our strategy was cross-validated with two randomly chosen data subsets and was proven to be a reliable approach. CONCLUSION: This work will help us to understand and identify the functional relationships between gene families and the regulatory pathways in which each family is involved. Concepts presented here may be useful for objective clustering of protein functions and deriving a comprehensive protein interaction map. Functional genomic approaches such as this may also be applicable to the elucidation of complex genetic regulatory networks.

Amino Acid Sequence↗

PubMed2005

Chemical cross-linking and high-performance Fourier transform ion cyclotron resonance mass spectrometry for protein interaction analysis: application to a calmodulin/target peptide complex.

Chemical cross-linking has proved successful in combination with mass spectrometry as a tool for low-resolution structure determination of proteins. The integration of chemical cross-linking with Fourier transform ion cyclotron resonance (FTICR) mass spectrometry to determine protein interfaces was tested on the calcium-dependent complex between calmodulin (CaM) and a 26-amino acid peptide derived from the skeletal muscle myosin light chain kinase (M13). Different amine-reactive, homobifunctional cross-linkers and a "zero-length" cross-linker were employed. The covalently attached complexes were separated from nonreacted proteins by one-dimensional gel electrophoresis, and the bands of interest were excised and in-gel digested with trypsin. Digestion of the cross-linked complexes resulted in complicated peptide mixtures, which were analyzed by nano-HPLC/nano-ESI-FTICR mass spectrometry. The distance constraints obtained by chemical cross-linking were in agreement with the published NMR structure of the CaM/M13 complex, pointing to residues Lys-18 and Lys-19 of M13 being cross-linked with the central alpha-helix of CaM. Thus, the integrated approach described herein has proven to be an efficient tool for mapping the topology of the CaM/M13 complex. As such it is applicable as a general strategy for the investigation of the spatial organization of protein complexes and complements existing techniques, such as X-ray crystallography and NMR spectroscopy.

Adipates↗

PubMed2005

Mapping the binding site of full length HIV-1 Nef on human Lck SH3 by NMR spectroscopy.

The Nef protein of human immunodeficiency virus type 1 (HIV-1) is known to directly bind to the SH3 domain of human lymphocyte specific kinase (Lck) via a proline-rich region located in the amino terminal part of Nef. To address the question whether Nef binding to Lck SH3 involves residues outside the typical poly-proline peptide binding site and whether the Lck unique domain is involved in Nef-Lck interaction, we studied the direct interaction between both molecules using recombinant full-length HIV-1 Nef protein on one side and recombinantly expressed and uniformly 15N-isotope labeled Lck protein comprising unique and SH3 domains on the other side. Applying nuclear magnetic resonance spectroscopy we could show that only residues of Lck SH3, that are typically involved in binding poly-proline peptides, are affected by Nef binding. Further, for the first time we could rule out that residues of Lck unique domain are involved in binding to full length Nef protein. Thus, interactions of Lck unique domain to cellular partners e.g. CD4 or CD8, are not necessarily competitive with Lck binding to HIV-1 Nef.

Amino Acid Sequence↗

PubMed2004

Identification and mapping of self-assembling protein domains encoded by the Escherichia coli K-12 genome by use of lambda repressor fusions.

Self-assembling proteins and protein fragments encoded by the Escherichia coli genome were identified from E. coli K-12 strain MG1655. Libraries of random DNA fragments cloned into a series of lambda repressor fusion vectors were subjected to selection for immunity to infection by phage lambda. Survivors were identified by sequencing the ends of the inserts, and the fused protein sequence was inferred from the known genomic sequence. Four hundred sixty-three nonredundant open reading frame-encoded interacting sequence tags (ISTs) were recovered from sequencing 2,089 candidates. These ISTs, which range from 16 to 794 amino acids in length, were clustered into families of overlapping fragments, identifying potential homotypic interactions encoded by 232 E. coli genes. Repressor fusions identified ISTs from genes in every protein-based functional category, but membrane proteins were underrepresented. The IST-containing genes were enriched for regulatory proteins and for proteins that form higher-order oligomers. Forty-eight (20.7%) homotypic proteins identified by ISTs are predicted to contain coiled coils. Although most of the IST-containing genes are identifiably related to proteins in other bacterial genomes, more than half of the ISTs do not have identifiable homologs in the Protein Data Bank, suggesting that they may include many novel structures. The data are available online at http://oligomers.tamu.edu/.

Artificial Gene Fusion↗

PubMedDate not supplied

Interaction proteomics.

The term proteome is traditionally associated with the identification of a large number of proteins within complex mixtures originating from a given organelle, cell or even organism. Current proteome investigations are basically focused on two major areas, expression proteomics and functional proteomics. Both approaches rely on the fractionation of protein mixtures essentially by two-dimensional polyacrylamide gel electrophoresis (2D-gel) and the identification of individual protein bands by mass spectrometric techniques (2D-MS). Functional proteomics approaches are basically addressing two main targets, the elucidation of the biological function of unknown proteins and the definition of cellular mechanisms at the molecular level. In the cell many processes are governed not only by the relative abundance of proteins but also by rapid and transient regulation of activity, association and localization of proteins and protein complexes. The association of an unknown protein with partners belonging to a specific protein complex involved in a particular process would then be strongly suggestive of its biological function. The identification of interacting proteins in stable complexes in a cellular system is essentially achieved by affinity-based procedures. Different strategies relying on this simple concept have been developed and a brief overview of the main approaches presently used in functional proteomics studies is described.

Chromatography, Affinity↗

PubMed2006

Distinct domains of the influenza a virus M2 protein cytoplasmic tail mediate binding to the M1 protein and facilitate infectious virus production.

The cytoplasmic tail of the influenza A virus M2 protein is highly conserved among influenza A virus isolates. The cytoplasmic tail appears to be dispensable with respect to the ion channel activity associated with the protein but important for virus morphology and the production of infectious virus particles. Using reverse genetics and transcomplementation assays, we demonstrate that the M2 protein cytoplasmic tail is a crucial mediator of infectious virus production. Truncations of the M2 cytoplasmic tail result in a drastic decrease in infectious virus titers, a reduction in the amount of packaged viral RNA, a decrease in budding events, and a reduction in budding efficiency. The M1 protein binds to the M2 cytoplasmic tail, but the M1 binding site is distinct from the sequences that affect infectious virus particle formation. Influenza A virus strains A/Udorn/72 and A/WSN/33 differ in their requirements for M2 cytoplasmic tail sequences, and this requirement maps to the M1 protein. We conclude that the M2 protein is required for the formation of infectious virus particles, implicating the protein as important for influenza A virus assembly in addition to its well-documented role during virus entry and uncoating.

Amino Acid Sequence↗

PubMed2005

Biological master games: using biologists' reasoning to guide algorithm development for integrated functional genomics.

We review some powerful new algorithms that build on the intuitive biological interpretation techniques for statistical analysis of functional genomics experiments. Although they were originally designed for transcriptomics, we argue that these algorithms are applicable to any type of -omics study (transcriptomics, proteomics, metabolomics). Rank Products (RP), a strictly non-parametric test statistic to detect differentially regulated elements (genes, proteins, metabolites) in genome-wide screens. RP is particularly powerful for noisy data and low numbers of replicates and makes full use of the availability of a large number of parallel measurements that is typical of modern large-scale experiments. Iterative Group Analysis (iGA), a statistical method that makes the transition from regulated single elements to significant classes of elements, and thus provides an automatic functional annotation of an experiment. Graph-based iGA (GiGA), an extension of iGA that combines experimental data with a broad variety of biological annotations to highlight physiologically relevant regions in a given "evidence graph" (e.g., metabolic networks, signaling pathway diagrams, protein interaction maps). The sequential application of these techniques yields an increasingly abstract interpretation of experimental data that is at the same time quantitative, statistically rigorous, and biologically significant. The results can be used either as helpful tools to guide data visualization and exploration, or as the input for downstream computational applications in a systems biology framework.

Algorithms↗

PubMed2005

Mapping the laminin-binding and adhesive domain of the cell surface-associated Hlp/LBP protein from Mycobacterium leprae.

Binding of Mycobacterium leprae to and invasion of Schwann cells (SC) represent a crucial step that initiates nerve damage in leprosy. We and others have described that M. leprae colonization of the peripheral nerve system may be mediated in part by a surface-exposed histone-like protein (Hlp), characterized as a laminin-binding protein (LBP). Hlp/LBP has also been shown to play a role in the binding of mycobacteria to alveolar epithelial cells and macrophages. In the present study we report that M. leprae expresses Hlp/LBP protein during the course of human infection. Additionally, we analyzed the interaction of Hlp/LBP with the extracellular matrix and host cell surface. We show that Hlp/LBP, besides laminin, also binds heparin and heparan sulfate. Testing truncated recombinant Hlp molecules corresponding to the N-terminal (rHlp-N) and the C-terminal (rHlp-C) domains of the protein, we established that interaction of Hlp/LBP with laminin-2 and heparin is mainly mediated by the C-terminal domain of the protein. Moreover, the same domain was found to be involved in Hlp/LBP-mediating bacterial binding to human SC. Finally, evidence is shown suggesting that M. leprae produces a post-translationally modified Hlp/LBP containing methyllysine residues. Methylation of the lysine residues, however, seems not to affect the adhesive properties of Hlp/LBP. Taken together, our observations reinforce the involvement of Hlp/LBP as an adhesin in mycobacterial infections and define its highly positive C-terminal region as the major adhesive domain of this protein.

Adhesins, Bacterial↗

PubMed2004

A rapid method for determining protein kinase phosphorylation specificity.

Selection of target substrates by protein kinases is strongly influenced by the amino acid sequence surrounding the phosphoacceptor site. Identification of the preferred peptide phosphorylation motif for a given kinase permits the production of efficient peptide substrates and greatly simplifies the mapping of phosphorylation sites in protein substrates. Here we describe a combinatorial peptide library method that allows rapid generation of phosphorylation motifs for serine/threonine kinases.

Amino Acid Motifs↗