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The crystal structure of gankyrin, an oncoprotein found in complexes with cyclin-dependent kinase 4, a 19 S proteasomal ATPase regulator, and the tumor suppressors Rb and p53.

Gankyrin is a 25-kDa hepatocellular carcinoma-associated protein that mediates protein-protein interactions in cell cycle control and protein degradation. It has been reported to form complexes with cyclin-dependent kinase 4, retinoblastoma protein, the S6b ATPase subunit of the 19 S regulator of the 26 S proteasome, and Mdm2, an E3 ubiquitin ligase involved in p53 degradation. It is the first protein described to bind both to the 26 S proteasome and to proteins in other complexes containing cyclin-dependent kinase(s) and p53 ubiquitylating activities, thus providing a mechanism for delivering cell cycle regulating machinery and ubiquitylated substrates to the proteasome for degradation. Gankyrin contains a 33-residue motif known as the ankyrin repeat that occurs five and a half to six times in the sequence. As a step toward understanding gankyrin interactions with its protein partners we have determined its three-dimensional crystal structure to 2.0-A resolution. It reveals that the entire 226-residue gankyrin polypeptide folds into seven ankyrin repeat elements. The ankyrin repeats, consisting of an antiparallel beta-hairpin followed by a perpendicularly oriented helix-loop-helix, pack side-by-side, creating an extended curved structure with a groove running across the long concave surface. Comparison with the structures of other ankyrin repeat proteins suggests that interactions with partner proteins are mediated by residues situated on this concave surface.

Amino Acid Motifs↗

Biochemical characterization of protein complexes from the Helicobacter pylori protein interaction map: strategies for complex formation and evidence for novel interactions within type IV secretion systems.

We have investigated a large set of interactions from the Helicobacter pylori protein interaction map previously identified by high-throughput yeast two-hybrid (htY2H)-based methods. This study had two aims: i) to validate htY2H as a source of protein-protein interaction complexes for high-throughput biochemical and structural studies of the H. pylori interactome; and ii) to validate biochemically interactions shown by htY2H to involve components of the H. pylori type IV secretion systems. Thus, 17 interactions involving 31 proteins and protein fragments were studied, and a general strategy was designed to produce protein-interacting partners for biochemical and structural characterization. We show that htY2H is a valid source of protein-protein complexes for high-throughput proteome-scale characterization of the H. pylori interactome, because 76% of the interactions tested were confirmed biochemically. Of the interactions involving type IV secretion proteins, three could be confirmed. One interaction is between two components of the type IV secretion apparatus, ComB10 and ComB4, which are VirB10 and VirB4 homologs, respectively. Another interaction is between a type IV component (HP0525, a VirB11 homolog) and a non-type IV secretion protein (HP01451), indicating that proteins other than the core VirB (1-11)-VirD4 proteins may play a role in type IV secretion. Finally, a third interaction was biochemically confirmed between CagA, a virulence factor secreted by the type IV secretion system encoded by the Cag pathogenicity island, and a non-type IV secretion protein, HP0496.

Bacterial Proteins↗

NBR1 interacts with fasciculation and elongation protein zeta-1 (FEZ1) and calcium and integrin binding protein (CIB) and shows developmentally restricted expression in the neural tube.

NBR1 (named as next to BRCA1) was originally cloned as a candidate gene for the ovarian cancer antigen CA125, using expression cloning with the anti-CA125 Ig, OC125. NBR1 has been of interest due to its position close to BRCA1, although no involvement in breast or ovarian cancer has been demonstrated. Recently, the antigen CA125 has been cloned, and identified as a new mucin, MUC16, entirely different from NBR1. The function of NBR1 remains unknown. To investigate its function, a yeast two-hybrid study was performed to identify interacting protein partners that may reflect a biological role for this protein. Here, we show that NBR1 interacts with two proteins; fasciculation and elongation protein zeta-1 (FEZ1), a PKCzeta interacting protein, and calcium and integrin binding protein (CIB), which is associated with polo-like kinases Fnk/Snk and the Alzheimer's disease presenilin 2 protein. Co-transfection of FEZ1 and NBR1 showed overlapping localization in the cytoplasm, whereas coexpression of NBR1 and CIB resulted in a shift of CIB protein expression from the nucleus to the perinuclear compartment. FEZ1 is highly expressed in the brain and in situ hybridization analysis of Nbr1 showed that its expression is also regulated in the murine brain during development. These data suggest that NBR1 may function, through interaction with CIB and FEZ1 in cell signalling pathways, with a developmentally restricted expression suggesting a possible role in neural development.

Adaptor Proteins, Signal Transducing↗

Human histone deacetylase SIRT2 interacts with the homeobox transcription factor HOXA10.

Histone deacetylases are required for transcriptional repression in eukaryotes. Saccharomyces cerevisiae has several histone deacetylases, of which ySir2p is the most conserved throughout evolution. Currently, there is no report on the interacting protein partner of a human Sir2 homolog, SIRT2. Here we show for the first time that SIRT2 interacts with the homeobox transcription factor, HOXA10, which was identified in a two-hybrid screen. Interactions were confirmed by co-immunoprecipitation from in vitro translations as well as in human cell-free extracts. Taken together with mouse knockout studies, our results raise the intriguing possibility that SIRT2 plays a role in mammalian development.

Animals↗

AcFKH1, a novel member of the forkhead family, associates with the RFX transcription factor CPCR1 in the cephalosporin C-producing fungus Acremonium chrysogenum.

In the filamentous fungus Acremonium chrysogenum, a complex regulatory network of transcription factors controls the expression of at least seven cephalosporin C biosynthesis genes. The RFX transcription factor CPCR1 binds to regulatory sequences in the promoter region of cephalosporin C biosynthesis genes, and is involved in the transcriptional regulation of the pcbC gene which encodes isopenicillin N synthase. In this study, we used CPCR1 in a yeast two-hybrid screen to identify potential protein interaction partners. A cDNA was identified, encoding the C-terminal part (pos. 438-665) of the novel forkhead protein, AcFKH1. The full-length AcFKH1 amino acid sequence is 665 residues and shares between 31% and 60% identity with forkhead protein sequences in the genomes of Aspergillus nidulans, Fusarium graminearum, and Neurospora crassa. AcFKH1 is characterized by two conserved domains, the N-terminal forkhead-associated domain (FHA), which might be involved in phospho-protein interactions, and the C-terminal DNA-binding domain (FKH) of the winged helix/forkhead type. The two-hybrid system was also used to map the protein domains required for the interaction of transcription factors CPCR1 and AcFKH1. The observed interaction between CPCR1 and the C-terminus of AcFKH1 in the yeast system was verified in vitro in a GST pulldown assay. Using gel retardation analysis, the DNA-binding properties of the fungal forkhead protein AcFKH1 were investigated. AcFKH1 recognizes two forkhead consensus binding sites within the 1.2 kb promoter region of the divergently oriented cephalosporin biosynthesis gene pair pcbAB-pcbC from A. chrysogenum. Additionally, AcFKH1 is able to bind with high affinity to the SWI5-binding site of the yeast FKH2 protein.

Acremonium↗

The human phosphatidylinositol phosphatase SAC1 interacts with the coatomer I complex.

The Saccharomyces cerevisiae SAC1 gene encodes an integral membrane protein of the endoplasmic reticulum (ER) and the Golgi apparatus. Yeast SAC1 mutants display a wide array of phenotypes including inositol auxotrophy, cold sensitivity, secretory defects, disturbed ATP transport into the ER, or suppression of actin gene mutations. At present, it is not clear how these phenotypes relate to the finding that SAC1 displays polyphosphoinositide phosphatase activity. Moreover, it is still an open question whether SAC1 functions similarly in mammalian cells, since some phenotypes are yeast-specific. Potential protein interaction partners and, connected to that, possible regulatory circuits have not been described. Therefore, we have cloned human SAC1 (hSAC1), show that it behaves similar to ySac1p in terms of substrate specificity, demonstrate that the endogenous protein localizes to the ER and Golgi, and identify for the first time members of the coatomer I (COPI) complex as interaction partners of hSAC1. Mutation of a putative COPI interaction motif (KXKXX) at its C terminus abolishes interaction with COPI and causes accumulation of hSAC1 in the Golgi. In addition, we generated a catalytically inactive mutant, demonstrate that its lipid binding capacity is unaltered, and show that it accumulates in the Golgi, incapable of interacting with the COPI complex despite the presence of the KXKXX motif. These results open the possibility that the enzymatic function of hSAC1 provides a switch for accessibility of the COPI interaction motif.

Amino Acid Motifs↗

Expansion of protein interaction maps by phage peptide display using MDM2 as a prototypical conformationally flexible target protein.

Expanding on the possible protein interaction partners in a biochemical pathway is one key molecular goal in the post-genomic era. Phage peptide display is a versatile in vitro tool for mapping novel protein-protein interfaces and the advantage of this technique in expanding protein interaction maps is that in vitro manipulation of the bait protein conformational integrity can be controlled carefully. Phage peptide display was used to expand on the possible types of binding proteins for the conformationally responsive protein MDM2. Peptides enriched differ depending upon whether MDM2 is ligand-free, zinc-bound, or RNA-bound, suggesting that MDM2 conformational changes alter the type of peptide ligands enriched. Classes of putative/established MDM2-binding proteins identified by this technique included ubiquitin-modifying enzymes (F-box proteins, UB-ligases, UBC-E1) and apoptotic modifiers (HSP90, GAS1, APAF1, p53). Of the many putative MDM2 proteins that could be examined, the impact of HSP90 on MDM2 activity was studied, since HSP90 has been linked with p53 protein unfolding in human cancers. Zinc ions were required to reconstitute a stable MDM2-HSP90 protein complex. Zinc binding converted MDM2 from a monomer to an oligomer, and activated MDM2 binding to its internal RING finger domain, providing evidence for a conformational change in MDM2 protein when it binds zinc. Reconstitution of an HSP90-MDM2 protein complex in vitro stimulated the unfolding of the p53 tetramer. A p53 DNA-binding inhibitor purified from human cells that is capable of unfolding p53 at ambient temperature in vitro contains co-purifying pools of HSP90 and MDM2. These data highlight the utility of phage peptide display as a powerful in vitro method to identify regulatory proteins that bind to a conformationally flexible protein like MDM2.

Amino Acid Sequence↗

Glutaminase: a multifaceted protein not only involved in generating glutamate.

The protein glutaminase has been traditionally considered as a mitochondrial enzyme, playing a key role in the energy and nitrogen metabolism of mammalian cells. However, new experimental evidence in the last few years has challenged this simplified view. The recent discovery of novel extramitochondrial localizations, the identification of potential protein interacting partners, the existence of multiple transcripts for mammalian glutaminase genes, and the presence of signature sequences and protein motifs on its sequence support the notion of glutaminase being a multifaceted protein, which may be involved in other functions besides glutamate generation from glutamine. In this short review, we will briefly summarize recent works on glutaminase proteins in mammals, with particular emphasis in brain studies. This experimental evidence will then be used to highlight new potential roles for this classical metabolic enzyme.

Amino Acid Motifs↗

Synphilin-1 associates with alpha-synuclein and promotes the formation of cytosolic inclusions.

Parkinson disease (PD) is a neurodegenerative disease characterized by tremor, bradykinesia, rigidity and postural instability. Post-mortem examination shows loss of neurons and Lewy bodies, which are cytoplasmic eosinophilic inclusions, in the substantia nigra and other brain regions. A few families have PD caused by mutations (A53T or A30P) in the gene SNCA (encoding alpha-synuclein). Alpha-synuclein is present in Lewy bodies of patients with sporadic PD, suggesting that alpha-synuclein may be involved in the pathogenesis of PD. It is unknown how alpha-synuclein contributes to the cellular and biochemical mechanisms of PD, and its normal functions and biochemical properties are poorly understood. To determine the protein-interaction partners of alpha-synuclein, we performed a yeast two-hybrid screen. We identified a novel interacting protein, which we term synphilin-1 (encoded by the gene SNCAIP). We found that alpha-synuclein interacts in vivo with synphilin-1 in neurons. Co-transfection of both proteins (but not control proteins) in HEK 293 cells yields cytoplasmic eosinophilic inclusions.

Amino Acid Sequence↗

Assay and functional properties of PrBP(PDEdelta), a prenyl-binding protein interacting with multiple partners.

A 17-kDa prenyl-binding protein, PrBP(PDEdelta), is highly conserved among various species from human to Caenorhabditis elegans. First identified as a putative regulatory delta subunit of the cyclic nucleotide phosphodiesterase (PDE6) purified from mammalian photoreceptor cells, PrBP(PDEdelta) has been hypothesized to reduce activation of PDE6 by the heterotrimeric G-protein, transducin, thereby desensitizing the photoresponse. However, recent work shows that PrBP(PDEdelta) interacts with numerous prenylated proteins at their farnesylated or geranylgeranylated C-termini, as well as with non-prenylated proteins. These polypeptides include small GTPases such as Rab13, Ras, Rap, and Rho6, as well as components involved in phototransduction (e.g., rod and cone PDE6, rod and cone opsin kinases). Expression of PrBP(PDEdelta) in tissues and organisms not expressing PDE6, the demonstration of multiple interacting partners with PrBP(PDEdelta), and its low abundance in rod outer segments all argue against it being a regulatory PDE6 subunit. This raises intriguing questions as to its physiological functions. In this chapter, we review the current status of PrBP(PDEdelta) and describe some of the assays used to determine these interactions in detail. In mammalian photoreceptors, the results are consistent with a role of PrBP(PDEdelta) in the transport of prenylated proteins from their site of synthesis in the inner segment to the outer segment where phototransduction occurs.

Amphibians↗

Functional assay of effectors of ADP ribosylation factor 6 during clathrin/AP-2 coat recruitment to membranes.

Arf proteins play pivotal roles in membrane traffic, cell signaling, and actin cytoskeletal rearrangements. We describe here methods to functionally analyze interacting partner proteins of recombinantly produced N-myristoylated Arf6. Combined evidence from affinity purification and chemical crosslinking experiments, in vitro recruitment assays, and the analysis of lipid kinase activities indicates that Arf6-GTP facilitates clathrin/AP-2 recruitment to synaptic membranes by direct binding and activation of the brain-specific phosphatidylinositol 4-phosphate 5-kinase type Igamma (PIPK Igamma). These methods shall help to mechanistically dissect the role of Arf6 in regulating exo-endocytic vesicle cycling at synapses and in related membrane trafficking events.

ADP-Ribosylation Factor 1↗

The methyl-CpG binding protein MBD1 interacts with the p150 subunit of chromatin assembly factor 1.

DNA promoter hypermethylation has been shown to be a functional mechanism of transcriptional repression. This epigenetic gene silencing is thought to involve the recruitment of chromatin-remodeling factors, such as histone deacetylases, to methylated DNA via a family of proteins called methyl-CpG binding proteins (MBD1 to -4). MBD1, a member of this family, exhibits transcription-repressive activity, but to this point no interacting protein partners have been identified. In this study, we demonstrate that MBD1 partners with the p150 subunit of chromatin assembly factor 1 (CAF-1), forming a multiprotein complex that also contains HP1alpha. The MBD1-CAF-1 p150 interaction requires the methyl-CpG binding domain of MBD1, and the association occurs in the C terminus of CAF-1 p150. The two proteins colocalize to regions of dense heterochromatin in mouse cells, and overexpression of the C terminus of CAF-1 p150 prevents the targeting of MBD1 in these cells without disrupting global heterochromatin structure. This interaction suggests a role for MBD1 and CAF-1 p150 in methylation-mediated transcriptional repression and the inheritance of epigenetically determined chromatin states.

3T3 Cells↗

Molecular genetics of disease resistance in cereals.

AIMS: This Botanical Briefing attempts to summarize what is currently known about the molecular bases of disease resistance in cereal species and suggests future research directions. SCOPE: An increasing number of resistance (R) genes have been isolated from rice, maize, wheat and barley that encode both structurally related and unique proteins. This R protein diversity may be attributable to the different modus operandi employed by pathogen species in some cases, but it is also a consequence of multiple defence strategies being employed against phytopathogens. Mutational analysis of barley has identified additional genes required for activation of an R gene-mediated defence response upon pathogen infection. In some instances very closely related barley R proteins require different proteins for defence activation, demonstrating that, within a single plant species, multiple resistance signalling pathways and different resistance strategies have evolved to confer protection against a single pathogen species. Despite the apparent diversity of cereal resistance mechanisms, some of the additional molecules required for R protein function are conserved amongst cereal and dicotyledonous species and even other eukaryotic species. Thus the derivation of functional homologues and interacting partner proteins from other species is contributing to the understanding of resistance signalling in cereals. The potential and limit of utilizing the rice genome sequence for further R gene isolation from cereal species is also considered, as are the new biotechnological possibilities for disease control arising from R gene isolation. CONCLUSIONS: Molecular analyses in cereals have further highlighted the complexity of plant-pathogen co-evolution and have shown that numerous active and passive defence strategies are employed by plants against phytopathogens. Many advances in understanding the molecular basis of disease resistance in cereals have focused on monogenic resistance traits. Future research targets are likely to include less experimentally tractable, durable polygenic resistances and nonhost resistance mechanisms.

Breeding↗

The msf gene causes condition-specific shifts in global gene expression in Haemophilus influenzae.

UNLABELLED: Haemophilus influenzae is a diverse human-restricted bacterium that normally colonizes the healthy nasopharynx but also causes common infections. Comparisons of clinical isolate genomes previously identified a gene, msf, that contained Sel1-like repeats that were associated with clinical disease. Mutant analysis had further found that msf improved survival in macrophages and increased systemic infection in an animal model. However, the role of msf in other conditions and its molecular function remain unknown. To identify protein-protein interactions with Msf, a yeast two-hybrid screen against an H. influenzae prey library was conducted, which found potential interactions with lipoprotein exporter protein LolD and an autotransporter adhesin Hap. To identify effects of msf on gene expression, we compared wild-type and mutant strains grown in multiple culture conditions by RNA-seq. The results indicate that msf modulates global gene expression in a condition-dependent manner, exerting an especially strong influence in starved surface-attached biofilm cells. The few consistent changes in mutants' planktonic exponential and stationary phases included decreased expression of two paralogous autotransporter adhesins. By contrast, mutant cells in starved surface-attached biofilms had dramatic changes in expression, including upregulation of protein translation and downregulation of alternative carbon metabolism. However, assays of 24 hour biofilm phenotypes found only subtle gene expression changes. Together, the results point to a speculative model of Msf functioning as an envelope-associated chaperone whose presence affects the relative expression of proteins at the outer membrane. IMPORTANCE: Comparing genomes from different clinical isolates of the same pathogenic bacterial species has identified genes associated with virulence, but many of these are understudied or have no known function. The msf gene was previously implicated as a virulence factor in Haemophilus influenzae, a common cause of mucosal diseases including middle-ear and chronic lung infections. This study finds that the msf gene causes condition-specific changes in gene expression, with especially dramatic changes in starved surface-attached biofilm cells. Along with identification of putative protein-protein interaction partners, the results provide new clues as to the molecular and cellular function of Msf, potentially as an envelope-associated chaperone involved in membrane protein trafficking. Understanding how virulence-associated genes like msf modulate bacterial responses to the environment may help explain why some bacterial strains remain harmless colonizers while others become pathogens.

Haemophilus influenzae↗

Glutathione S-transferase pull-down assays using dehydrated immobilized glutathione resin.

We have developed an affinity-precipitation technique to facilitate conducting glutathione S-transferase (GST) pull-down assays. The dehydrated immobilized glutathione resin format, when combined with microcentrifuge spin columns, is a powerful tool that enables the simultaneous performance of resin hydration, the binding of the GST fusion protein, and the pull-down step with the appropriate protein partner in a semihigh-throughput fashion (multiple samples processed at the same time). The entire assay process is shortened and recovery is enhanced when coupled with a spin-column format, providing a convenient way to study protein-protein interactions. We successfully tested the resin format/technique in three common pull-down applications utilizing radiolabeled, overexpressed, and activated endogenous interacting protein partners.

Biochemistry↗

Diffusion kernel-based logistic regression models for protein function prediction.

Assigning functions to unknown proteins is one of the most important problems in proteomics. Several approaches have used protein-protein interaction data to predict protein functions. We previously developed a Markov random field (MRF) based method to infer a protein's functions using protein-protein interaction data and the functional annotations of its protein interaction partners. In the original model, only direct interactions were considered and each function was considered separately. In this study, we develop a new model which extends direct interactions to all neighboring proteins, and one function to multiple functions. The goal is to understand a protein's function based on information on all the neighboring proteins in the interaction network. We first developed a novel kernel logistic regression (KLR) method based on diffusion kernels for protein interaction networks. The diffusion kernels provide means to incorporate all neighbors of proteins in the network. Second, we identified a set of functions that are highly correlated with the function of interest, referred to as the correlated functions, using the chi-square test. Third, the correlated functions were incorporated into our new KLR model. Fourth, we extended our model by incorporating multiple biological data sources such as protein domains, protein complexes, and gene expressions by converting them into networks. We showed that the KLR approach of incorporating all protein neighbors significantly improved the accuracy of protein function predictions over the MRF model. The incorporation of multiple data sets also improved prediction accuracy. The prediction accuracy is comparable to another protein function classifier based on the support vector machine (SVM), using a diffusion kernel. The advantages of the KLR model include its simplicity as well as its ability to explore the contribution of neighbors to the functions of proteins of interest.

Databases, Protein↗

Automatic prediction of protein function.

Most methods annotating protein function utilise sequence homology to proteins of experimentally known function. Such a homology-based annotation transfer is problematic and limited in scope. Therefore, computational biologists have begun to develop ab initio methods that predict aspects of function, including subcellular localization, post-translational modifications, functional type and protein-protein interactions. For the first two cases, the most accurate approaches rely on identifying short signalling motifs, while the most general methods utilise tools of artificial intelligence. An outstanding new method predicts classes of cellular function directly from sequence. Similarly, promising methods have been developed predicting protein-protein interaction partners at acceptable levels of accuracy for some pairs in entire proteomes. No matter how difficult the task, successes over the last few years have clearly paved the way for ab initio prediction of protein function.

Computational Biology↗

Predicting disease genes using protein-protein interactions.

BACKGROUND: The responsible genes have not yet been identified for many genetically mapped disease loci. Physically interacting proteins tend to be involved in the same cellular process, and mutations in their genes may lead to similar disease phenotypes. OBJECTIVE: To investigate whether protein-protein interactions can predict genes for genetically heterogeneous diseases. METHODS: 72,940 protein-protein interactions between 10,894 human proteins were used to search 432 loci for candidate disease genes representing 383 genetically heterogeneous hereditary diseases. For each disease, the protein interaction partners of its known causative genes were compared with the disease associated loci lacking identified causative genes. Interaction partners located within such loci were considered candidate disease gene predictions. Prediction accuracy was tested using a benchmark set of known disease genes. RESULTS: Almost 300 candidate disease gene predictions were made. Some of these have since been confirmed. On average, 10% or more are expected to be genuine disease genes, representing a 10-fold enrichment compared with positional information only. Examples of interesting candidates are AKAP6 for arrythmogenic right ventricular dysplasia 3 and SYN3 for familial partial epilepsy with variable foci. CONCLUSIONS: Exploiting protein-protein interactions can greatly increase the likelihood of finding positional candidate disease genes. When applied on a large scale they can lead to novel candidate gene predictions.

Animals↗