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Results for “Protein interaction partner”

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At least 271 records · Page 15Linked to original sources
PubMed1998

Identification of the LMO4 gene encoding an interaction partner of the LIM-binding protein LDB1/NLI1: a candidate for displacement by LMO proteins in T cell acute leukaemia.

The T cell oncogenes LMO1 and LMO2 are activated by distinct chromosomal translocations in childhood T cell acute leukaemias. Transgenic mouse models of this disease demonstrate that enforced expression of Lmo1 and Lmo2 cause T cell leukaemias with long latency and that Lmo2 expression leads to an inhibition of the T cell differentiation programme, prior to overt disease. These functions appear to be partly mediated by interaction of LMO1 or LMO2 with the LIM-binding protein LDB1/ NLI1. We have now identified a new member of the Lmo family, designated Lmo4, via its interaction with Ldb1. Lmo4 is widely expressed in mouse tissues, including adult thymus (mainly CD4, CD8-double positive T cells) and embryonic thymus (mainly CD4, CD8-double negative T cells). These characteristics imply that Ldb1-Lmo4 interaction may function in the T cell developmental programme and that enforced expression of LMO1 or LMO2 by chromosomal translocations or transgenesis may displace Lmo4 from this complex and thereby influence T cell differentiation prior to T cell tumour occurrence.

Adaptor Proteins, Signal Transducing↗
PubMed2003

Exploiting the co-evolution of interacting proteins to discover interaction specificity.

Protein interactions are fundamental to the functioning of cells, and high throughput experimental and computational strategies are sought to map interactions. Predicting interaction specificity, such as matching members of a ligand family to specific members of a receptor family, is largely an unsolved problem. Here we show that by using evolutionary relationships within such families, it is possible to predict their physical interaction specificities. We introduce the computational method of matrix alignment for finding the optimal alignment between protein family similarity matrices. A second method, 3D embedding, allows visualization of interacting partners via spatial representation of the protein families. These methods essentially align phylogenetic trees of interacting protein families to define specific interaction partners. Prediction accuracy depends strongly on phylogenetic tree complexity, as measured with information theoretic methods. These results, along with simulations of protein evolution, suggest a model for the evolution of interacting protein families in which interaction partners are duplicated in coupled processes. Using these methods, it is possible to successfully find protein interaction specificities, as demonstrated for >18 protein families.

Amino Acid Sequence↗
PubMed2004

RNA-protein interactions in the yeast three-hybrid system: affinity, sensitivity, and enhanced library screening.

The yeast three-hybrid system has become a useful tool in analyzing RNA-protein interactions. An RNA sequence is tested in combination with an RNA-binding protein linked to a transcription activation domain (AD). A productive RNA-protein interaction activates a reporter gene in vivo. The system has been used to test candidate RNA-protein pairs, to isolate mutations in each interacting partner, and to identify proteins that bind a given RNA sequence. However, the relationship between reporter gene activation and in vitro affinity of an RNA-protein interaction has not been examined systematically. This limits interpretation of the data and complicates the development of new strategies. Here, we analyze several key parameters of the three-hybrid system, using as a model the interaction of a PUF protein, FBF-1, with a range of RNA targets. We compare activation of two reporter genes as a function of the in vitro affinity of the interaction. HIS3 and LacZ expression levels are directly related to affinity over a 10-fold range of Kd. Expression of the reporter genes also is directly related to the abundance of the activation domain fusion protein. We describe a new yeast strain, YBZ1, that simplifies screening of cDNA/AD libraries. This strain possesses a tandem, head-to-tail dimer of a high-affinity variant of MS2 coat protein, fused to a monomer of the LexA DNA-binding protein. We show that the use of this strain in cDNA library screens increases the number of genuine, sequence-specific positives detected, and at the same time reduces the background of false, RNA-independent positives.

Adaptor Proteins, Signal Transducing↗
PubMed2003

Human VPS34 and p150 are Rab7 interacting partners.

Regulation of membrane trafficking requires the concerted actions of rab proteins, their effectors and several phosphatidylinositol 3'-kinases. Rab7 is required for late endosomal transport and here we establish that the phosphatidylinositol 3'-kinase hVPS34 and its adaptor protein p150 are rab7 interacting partners. The hVPS34/p150 complex colocalized with rab7 on late endosomes and hVPS34 activity was dependent on nucleotide cycling of rab7. In addition, total cellular phosphatidylinositol 3'-phosphate levels were modulated by rab7 expression, suggesting that rab7 activation impacted kinase cycling to early endosomes. The data identify rab7 as an important regulator of late endosomal hVPS34 function and link rab7 to the regulation of phosphatidylinositol 3'-kinase cycling between early and late endosomes.

Animals↗
PubMed2006

Lipid specificity of surfactant protein B studied by time-of-flight secondary ion mass spectrometry.

One of the key functions of mammalian pulmonary surfactant is the reduction of surface tension to minimal values. To fulfill this function it is expected to become enriched in dipalmitoylphosphatidylcholine either on its way from the alveolar type II pneumocytes to the air/water interface of the lung or within the surface film during compression and expansion of the alveoli during the breathing cycle. One protein that may play a major role in this enrichment process is the surfactant protein B. The aim of this study was to identify the lipidic interaction partner of this protein. Time-of-flight secondary ion mass spectrometry was used to analyze the lateral distribution of the components in two SP-B-containing model systems. Either native or partly isotopically labeled lipids were analyzed. The results of both setups give strong indications that, at least under the specific conditions of the chosen model systems (e.g., concerning pH and lipid composition), the lipid interacting with surfactant protein B is not phosphatidylglycerol as generally accepted, but dipalmitoylphosphatidylcholine instead.

1,2-Dipalmitoylphosphatidylcholine↗
PubMed1999

Identification of CHIP, a novel tetratricopeptide repeat-containing protein that interacts with heat shock proteins and negatively regulates chaperone functions.

The chaperone function of the mammalian 70-kDa heat shock proteins Hsc70 and Hsp70 is modulated by physical interactions with four previously identified chaperone cofactors: Hsp40, BAG-1, the Hsc70-interacting protein Hip, and the Hsc70-Hsp90-organizing protein Hop. Hip and Hop interact with Hsc70 via a tetratricopeptide repeat domain. In a search for additional tetratricopeptide repeat-containing proteins, we have identified a novel 35-kDa cytoplasmic protein, carboxyl terminus of Hsc70-interacting protein (CHIP). CHIP is highly expressed in adult striated muscle in vivo and is expressed broadly in vitro in tissue culture. Hsc70 and Hsp70 were identified as potential interaction partners for this protein in a yeast two-hybrid screen. In vitro binding assays demonstrated direct interactions between CHIP and both Hsc70 and Hsp70, and complexes containing CHIP and Hsc70 were identified in immunoprecipitates of human skeletal muscle cells in vivo. Using glutathione S-transferase fusions, we found that CHIP interacted with the carboxy-terminal residues 540 to 650 of Hsc70, whereas Hsc70 interacted with the amino-terminal residues 1 to 197 (containing the tetratricopeptide domain and an adjacent charged domain) of CHIP. Recombinant CHIP inhibited Hsp40-stimulated ATPase activity of Hsc70 and Hsp70, suggesting that CHIP blocks the forward reaction of the Hsc70-Hsp70 substrate-binding cycle. Consistent with this observation, both luciferase refolding and substrate binding in the presence of Hsp40 and Hsp70 were inhibited by CHIP. Taken together, these results indicate that CHIP decreases net ATPase activity and reduces chaperone efficiency, and they implicate CHIP in the negative regulation of the forward reaction of the Hsc70-Hsp70 substrate-binding cycle.

Adenosine Triphosphatases↗
PubMed2001

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.

DNA, Recombinant↗
PubMedDate not supplied

Related function of mouse SOX3, SOX9, and SRY HMG domains assayed by male sex determination.

Sox genes encode proteins related to each other, and to the sex determining gene Sry, by the presence of a DNA binding motif known as the HMG domain. Although HMG domains can bind to related DNA sequences, Sox gene products may achieve target gene specificity by binding to preferred target sequences or by interacting with specific partner proteins. To assess their functional similarities, we replaced the HMG box of Sry with the HMG box of Sox3 or Sox9 and tested whether these constructs caused sex reversal in XX mice. Our results indicate that such chimeric transgenes can functionally replace Sry and elicit development of testis cords, male patterns of gene expression, and elaboration of male secondary sexual characteristics. This implies that chimeric SRY proteins with SOX HMG domains can bind to and regulate SRY target genes and that potential SRY partner factor interactions are not disrupted by HMG domain substitutions. genesis 28:111-124, 2000.

Amino Acid Sequence↗
PubMed2005

Are scale-free networks robust to measurement errors?

BACKGROUND: Many complex random networks have been found to be scale-free. Existing literature on scale-free networks has rarely considered potential false positive and false negative links in the observed networks, especially in biological networks inferred from high-throughput experiments. Therefore, it is important to study the impact of these measurement errors on the topology of the observed networks. RESULTS: This article addresses the impact of erroneous links on network topological inference and explores possible error mechanisms for scale-free networks with an emphasis on Saccharomyces cerevisiae protein interaction networks. We study this issue by both theoretical derivations and simulations. We show that the ignorance of erroneous links in network analysis may lead to biased estimates of the scale parameter and recommend robust estimators in such scenarios. Possible error mechanisms of yeast protein interaction networks are explored by comparisons between real data and simulated data. CONCLUSION: Our studies show that, in the presence of erroneous links, the connectivity distribution of scale-free networks is still scale-free for the middle range connectivities, but can be greatly distorted for low and high connecitivities. It is more appropriate to use robust estimators such as the least trimmed mean squares estimator to estimate the scale parameter gamma under such circumstances. Moreover, we show by simulation studies that the scale-free property is robust to some error mechanisms but untenable to others. The simulation results also suggest that different error mechanisms may be operating in the yeast protein interaction networks produced from different data sources. In the MIPS gold standard protein interaction data, there appears to be a high rate of false negative links, and the false negative and false positive rates are more or less constant across proteins with different connectivities. However, the error mechanism of yeast two-hybrid data may be very different, where the overall false negative rate is low and the false negative rates tend to be higher for links involving proteins with more interacting partners.

Algorithms↗
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↗
PubMed2004

Hox transcription factor ultrabithorax Ib physically and genetically interacts with disconnected interacting protein 1, a double-stranded RNA-binding protein.

The Hox protein family consists of homeodomain-containing transcription factors that are primary determinants of cell fate during animal development. Specific Hox function appears to rely on protein-protein interactions; however, the partners involved in these interactions and their function are largely unknown. Disconnected Interacting Protein 1 (DIP1) was isolated in a yeast two-hybrid screen of a 0-12-h Drosophila embryo library designed to identify proteins that interact with Ultrabithorax (Ubx), a Drosophila Hox protein. The Ubx.DIP1 physical interaction was confirmed using phage display, immunoprecipitation, pull-down assays, and gel retardation analysis. Ectopic expression of DIP1 in wing and haltere imaginal discs malforms the adult structures and enhances a decreased Ubx expression phenotype, establishing a genetic interaction. Ubx can generate a ternary complex by simultaneously binding its target DNA and DIP1. A large region of Ubx, including the repression domain, is required for interaction with DIP1. These more variable sequences may be key to the differential Hox function observed in vivo. The Ubx.DIP1 interaction prevents transcriptional activation by Ubx in a modified yeast one-hybrid assay, suggesting that DIP1 may modulate transcriptional regulation by Ubx. The DIP1 sequence contains two dsRNA-binding domains, and DIP1 binds double-stranded RNA with a 1000-fold higher affinity than either single-stranded RNA or double-stranded DNA. The strong interaction of Ubx with an RNA-binding protein suggests a wider range of proteins may influence Ubx function than previously appreciated.

Animals↗
PubMed2002

GIP, a G-protein-coupled receptor interacting protein.

A novel protein was cloned while screening for partners interacting with the second intracellular loop of the V2 vasopressin receptor (V2R). The protein was named GIP as in G-protein-coupled receptor Interacting Protein; the corresponding gene was located on the 17th chromosome where three exons encode for a 379-amino-acid protein.GIP subcellular localization was studied by immunocytochemistry and also using a biotinylating agent. The protein was found to be localized, at least in part, on the plasma membrane, probably in the form of a trimer. The results indicated that GIP is a transmembrane protein and the most part of the molecule is intracellular. Sequence homology inferred that GIP cytosolic domain is folded as a collagen-like helix followed by a globular domain. The interaction of the globular domain with the V2R was confirmed by pull-down experiments indicating that this structural motif can also interact with cytosolic proteins.

Amino Acid Motifs↗
PubMed2006

A correlated motif approach for finding short linear motifs from protein interaction networks.

BACKGROUND: An important class of interaction switches for biological circuits and disease pathways are short binding motifs. However, the biological experiments to find these binding motifs are often laborious and expensive. With the availability of protein interaction data, novel binding motifs can be discovered computationally: by applying standard motif extracting algorithms on protein sequence sets each interacting with either a common protein or a protein group with similar properties. The underlying assumption is that proteins with common interacting partners will share some common binding motifs. Although novel binding motifs have been discovered with such approach, it is not applicable if a protein interacts with very few other proteins or when prior knowledge of protein group is not available or erroneous. Experimental noise in input interaction data can further deteriorate the dismal performance of such approaches. RESULTS: We propose a novel approach of finding correlated short sequence motifs from protein-protein interaction data to effectively circumvent the above-mentioned limitations. Correlated motifs are those motifs that consistently co-occur only in pairs of interacting protein sequences, and could possibly interact with each other directly or indirectly to mediate interactions. We adopted the (l, d)-motif model and formulate finding the correlated motifs as an (l, d)-motif pair finding problem. We present both an exact algorithm, D-MOTIF, as well as its approximation algorithm, D-STAR to solve this problem. Evaluation on extensive simulated data showed that our approach not only eliminated the need for any prior protein grouping, but is also more robust in extracting motifs from noisy interaction data. Application on two biological datasets (SH3 interaction network and TGFbeta signaling network) demonstrates that the approach can extract correlated motifs that correspond to actual interacting subsequences. CONCLUSION: The correlated motif approach outlined in this paper is able to find correlated linear motifs from sparse and noisy interaction data. This, in turn, will expedite the discovery of novel linear binding motifs, and facilitate the studies of biological pathways mediated by them.

Algorithms↗
PubMed2002

The oxidant thimerosal modulates gating behavior of KCNQ1 by interaction with the channel outer shell.

Thimerosal (o-Ethylmercurithio)benzoic acid, TMS), a membrane-impermeable, sulfhydryl-oxidizing agent, has been described to increase the K+ current IKs in KCNE1-injected Xenopus laevis oocytes. Since there are no cysteine residues in the extracellular domain of KCNE1, it has been proposed that TMS interacts with its partner protein KCNQ1. The aim of this study was therefore to investigate the interaction of TMS with KCNQ1 and the respective K+current IK. In CHO cells stably transfected with KCNQ1/KCNE1, TMS increased IKs, whereas in CHO cells expressing KCNQ1 alone, TMS initially decreased IK. TMS also affected the cytosolic pH (pHi) and the cytosolic Ca2+ activity ([Ca2+]i) in these cells. TMS slowly decreased pHi. With a short delay, TMS increased [Ca2+]i by store depletion and capacitative influx. The time course of the effects of TMS on pHi and [Ca2+]i did not correlate with the effect of TMS on IK. We therefore anticipated a different mode of action by TMS and investigated the influence of TMS on cysteine residues of KCNQ1. For this purpose, KCNQ1wt and two mutants lacking a cysteine residue in the S6 or the S3 segment (KCNQ1C331A and KCNQ1C214A, respectively) were expressed in Xenopus laevis oocytes. A sustained current decrease was observed in KCNQ1wt and KCNQ1C331A, but not in KCNQ1C214A-injected oocytes. The analysis of tail currents, I/V curves and activation kinetics revealed a complex effect of TMS on the gating of KCNQ1wt and KCNQ1C331A. In another series we investigated the effect of TMS on IKs. TMS increased IKs of KCNQ1C214A/KCNE1-injected oocytes significantly less than IKs in KCNQ1wt/KCNE1- or KCNQ1C331A/KCNE1-injected cells. These results suggest that thimerosal interacts with the cysteine residue C214 in the S3 segment of KCNQ1, leading to a change of its gating properties. Our results support the idea that not only the inner shell, but also the outer shell of the channel is important for the gating behavior of voltage dependent K+ channels.

Animals↗
PubMed2005

Structure-based prediction of bZIP partnering specificity.

Predicting protein interaction specificity from sequence is an important goal in computational biology. We present a model for predicting the interaction preferences of coiled-coil peptides derived from bZIP transcription factors that performs very well when tested against experimental protein microarray data. We used only sequence information to build atomic-resolution structures for 1711 dimeric complexes, and evaluated these with a variety of functions based on physics, learned empirical weights or experimental coupling energies. A purely physical model, similar to those used for protein design studies, gave reasonable performance. The results were improved significantly when helix propensities were used in place of a structurally explicit model to represent the unfolded reference state. Further improvement resulted upon accounting for residue-residue interactions in competing states in a generic way. Purely physical structure-based methods had difficulty capturing core interactions accurately, especially those involving polar residues such as asparagine. When these terms were replaced with weights from a machine-learning approach, the resulting model was able to correctly order the stabilities of over 6000 pairs of complexes with greater than 90% accuracy. The final model is physically interpretable, and suggests specific pairs of residues that are important for bZIP interaction specificity. Our results illustrate the power and potential of structural modeling as a method for predicting protein interactions and highlight obstacles that must be overcome to reach quantitative accuracy using a de novo approach. Our method shows unprecedented performance in predicting protein-protein interaction specificity accurately using structural modeling and suggests that predicting coiled-coil interactions generally may be within reach.

Basic-Leucine Zipper Transcription Factors↗
PubMed2002

Recruitment and activation of caspase-8 by the Huntingtin-interacting protein Hip-1 and a novel partner Hippi.

In Huntington disease, polyglutamine expansion of the protein huntingtin (Htt) leads to selective neurodegenerative loss of medium spiny neurons throughout the striatum by an unknown apoptotic mechanism. Binding of Hip-1, a protein normally associated with Htt, is reduced by polyglutamine expansion. Free Hip-1 binds to a hitherto unknown polypeptide, Hippi (Hip-1 protein interactor), which has partial sequence homology to Hip-1 and similar tissue and subcellular distribution. The availability of free Hip-1 is modulated by polyglutamine length within Htt, with disease-associated polyglutamine expansion favouring the formation of pro-apoptotic Hippi-Hip-1 heterodimers. This heterodimer can recruit procaspase-8 into a complex of Hippi, Hip-1 and procaspase-8, and launch apoptosis through components of the 'extrinsic' cell-death pathway. We propose that Htt polyglutamine expansion liberates Hip-1 so that it can form a caspase-8 recruitment complex with Hippi. This novel non-receptor-mediated pathway for activating caspase-8 might contribute to neuronal death in Huntington disease.

Adaptor Proteins, Signal Transducing↗
PubMed2005

The orientations of cytochrome c in the highly dynamic complex with cytochrome b5 visualized by NMR and docking using HADDOCK.

The interaction of bovine microsomal ferricytochrome b5 with yeast iso-1-ferri and ferrocytochrome c has been investigated using heteronuclear NMR techniques. Chemical-shift perturbations for 1H and 15N nuclei of both cytochromes, arising from the interactions with the unlabeled partner proteins, were used for mapping the interacting surfaces on both proteins. The similarity of the binding shifts observed for oxidized and reduced cytochrome c indicates that the complex formation is not influenced by the oxidation state of the cytochrome c. Protein-protein docking simulations have been performed for the binary cytochrome b5-cytochrome c and ternary (cytochrome b5)-(cytochrome c)2 complexes using a novel HADDOCK approach. The docking procedure, which makes use of the experimental data to drive the docking, identified a range of orientations assumed by the proteins in the complex. It is demonstrated that cytochrome c uses a confined surface patch for interaction with a much more extensive surface area of cytochrome b5. Taken together, the experimental data suggest the presence of a dynamic ensemble of conformations assumed by the proteins in the complex.

Animals↗