Triangle network motifs predict complexes by complementing high-error interactomes with structural information

Background  

A lot of high-throughput studies produce protein-protein interaction networks (PPINs) with many errors and missing information. Even for genome-wide approaches, there is often a low overlap between PPINs produced by different studies. Second-level neighbors separated by two protein-protein interactions (PPIs) were previously used for predicting protein function and finding complexes in high-error PPINs. We retrieve second level neighbors in PPINs, and complement these with structural domain-domain interactions (SDDIs) representing binding evidence on proteins, forming PPI-SDDI-PPI triangles.     

Increasing confidence of protein interactomes using network topological metrics

MOTIVATION: Experimental limitations in high-throughput protein-protein interaction detection methods have resulted in low quality interaction datasets that contained sizable fractions of false positives and false negatives. Small-scale, focused experiments are then needed to complement the high-throughput methods to extract true protein interactions. However, the naturally vast interactomes would require much more scalable approaches. RESULTS: We describe a novel method called IRAP* as a computational complement for repurification of the highly erroneous experimentally derived protein interactomes. Our method involves an iterative process of removing interactions that are confidently identified as false positives and adding interactions detected as false negatives into the interactomes. Identification of both false positives and false negatives are performed in IRAP* using interaction confidence measures based on network topological metrics. Potential false positives are identified amongst the detected interactions as those with very low computed confidence values, while potential false negatives are discovered as the undetected interactions with high computed confidence values. Our results from applying IRAP* on large-scale interaction datasets generated by the popular yeast-two-hybrid assays for yeast, fruit fly and worm showed that the computationally repurified interaction datasets contained potentially lower fractions of false positive and false negative errors based on functional homogeneity. AVAILABILITY: The confidence indices for PPIs in yeast, fruit fly and worm as computed by our method can be found at our website http://www.comp.nus.edu.sg/~chenjin/fpfn.     

Organization of the neurofilamentous network

Summary The neurofilamentous network of the normal rabbit brain (lateral vestibular nucleus) and of biopsies of human patients (cerebral cortex, sural nerve) was investigated electron microscopically. Thin sections of samples prepared by standard techniques and unfixed spreads of freshly isolated perikarya were utilized.The neurofilaments are assembled into a three-dimensional network associated with the axolemma, microtubules, mitochondria and polyribosomes. The elements of this network demonstrate helicity at several levels of organization. It is proposed that they are in a dynamic state of equilibrium between ordered lattice and open network paracrystalline states. Reversible phase transitions in the subunit proteins of the neurofilaments may lead to coiling and uncoiling of the filaments and induce alterations in the network structure of the neuroplasm. Giant axonal swellings in biopsies of the sural nerve are interpreted as accumulations of cytoskeletal elements in the absence of the orienting effect of microtubules. In cortical neurons of patients with Alzheimer's disease parts of the neurofilamentous network are in altered paracrystalline states; virus-like particles occur within this modified network.These concepts of cytoskeletal organization — network, helicity, phase transitions, and paracrystallinity — are useful for the interpretation of pathological alterations of the cytoskeleton and for an understanding of cytoskeletal organization in general.     

The egg white and yolk interactomes as gleaned from extensive proteomic data

Combinatorial peptide ligand libraries have recently allowed considerable advances in the mapping of chicken egg yolk and white proteomics. Data from literature have been regrouped and elaborated for network and pathway analyses in order to convey a unified view of these proteomes. Redundant proteins were excluded, while isoforms of the same proteins were maintained to reach a total of 260 distinct gene products for egg yolk and 148 for egg white having a match in the database. From these analyses, a role for proteins involved in cell development, proliferation and migration, cell-to-cell interaction and hematological system development emerged. Although it might turn out that, notwithstanding the extensive mapping, the currently available datasets might be still incomplete, a valuable insight could still be obtained about specific proteins playing a crucial role in antimicrobial responses, mainly histones, lysozyme and vitamin-binding proteins. In particular, SERPINB3 (ovalbumin Y, or Squamous Cell Carcinoma Antigen, SCCA1) was individuated in 8 out of 10 top score pathways in egg yolk and in 6 out 10 in egg white. SERPINB3 is a member of the ov-serpin family, participating in coagulation and inflammation responses. However, it is yet to be assessed how these observations could correlate with previous analyses about the role of egg yolk derived proteins in counteracting blood coagulation.     

Autophagy and RNA virus interactomes reveal IRGM as a common target

Several intracellular pathogens have the ability to avoid or exploit the otherwise destructive process of autophagy. RNA viruses are constantly confronted with cellular autophagy, and several of them hijack autophagy during the infectious cycle to improve their own replication. Nevertheless, our knowledge of viral molecular strategies used to manipulate autophagy remains limited. Our study allowed the identification of molecular interactions between 44 autophagy-associated proteins and 83 viral proteins belonging to five different RNA virus families. This interactome revealed that the autophagy network machinery is highly targeted by RNA viruses. Interestingly, whereas some autophagy-associated proteins are targeted by only one RNA virus family, others are recurrent targets of several families. Among them, we found IRGM as the most targeted autophagy-associated protein. Downregulation of IRGM expression prevents autophagy induction by measles virus, HCV and HIV-1, and compromises viral replication. Our work combined interactomic and analytical approaches to identify potential pathogen virulence factors targeting autophagy.     

Autophagy and RNA virus interactomes reveal IRGM as a common target

Several intracellular pathogens have the ability to avoid or exploit the otherwise destructive process of autophagy. RNA viruses are constantly confronted with cellular autophagy, and several of them hijack autophagy during the infectious cycle to improve their own replication. Nevertheless, our knowledge of viral molecular strategies used to manipulate autophagy remains limited. Our study allowed the identification of molecular interactions between 44 autophagy-associated proteins and 83 viral proteins belonging to five different RNA virus families. This interactome revealed that the autophagy network machinery is highly targeted by RNA viruses. Interestingly, whereas some autophagy-associated proteins are targeted by only one RNA virus family, others are recurrent targets of several families. Among them, we found IRGM as the most targeted autophagy-associated protein. Downregulation of IRGM expression prevents autophagy induction by measles virus, HCV and HIV-1, and compromises viral replication. Our work combined interactomic and analytical approaches to identify potential pathogen virulence factors targeting autophagy.     

A protein network for phospholipid synthesis uncovered by a variant of the tandem affinity purification method in Escherichia coli

In prokaryotes, acyl carrier protein (ACP) is a cofactor central to a myriad of syntheses, including fatty acid and phospholipid synthesis. To fulfill its function, ACP must therefore interact with a multitude of different enzymes, which includes the thioesterase YbgC. We found a specific interaction between ACP and YbgC whose thioesterase activity has been demonstrated in vitro on acyl-CoA derivatives, but whose physiological function in bacteria remains unknown. Therefore, YbgC could be a thioesterase active on some specific acyl-ACPs. We then assigned a function to the ACP/YbgC pair by employing a proteomic approach derived from tandem affinity purification, the split tag method. This technique allowed us to purify proteins interacting with ACP and YbgC proteins at the same time. Interactions with PlsB, a sn-glycerol-3-phosphate acyltransferase and PssA, a phosphatidylserine synthase, were identified and validated, showing that YbgC is involved in phospholipid metabolism. Furthermore, using an in vivo bacterial two-hybrid interaction analysis, we showed for the first time that enzymes of the phospholipid synthesis pathway form a complex in the inner membrane. Taken together, these results describe an integrated protein network that could be involved in the coordination of phospholipid metabolism.     

Reductive unfolding of serum albumins uncovered by Raman spectroscopy

The reductive unfolding of bovine serum albumin (BSA) and human serum albumin (HSA) induced by dithiothreitol (DTT) is investigated using Raman spectroscopy. The resolution of the S-S Raman band into both protein and oxidized DTT contributions provides a reliable basis for directly monitoring the S-S bridge exchange reaction. The related changes in the protein secondary structure are identified by analyzing the protein amide I Raman band. For the reduction of one S-S bridge of BSA, a mean Gibbs free energy of -7 kJ mol(-1) is derived by studying the reaction equilibrium. The corresponding value for the HSA S-S bridge reduction is -2 kJ mol(-1). The reaction kinetics observed via the S-S or amide I Raman bands are identical giving a reaction rate constant of (1.02 +/- 0.11) M(-1) s(-1) for BSA. The contribution of the conformational Gibbs free energy to the overall Gibbs free energy of reaction is further estimated by combining experimental data with ab initio calculations.     

Overrepresentation of interactions between homologous proteins in interactomes

It is well proved that the probability that a protein interacts with itself is higher than that it interacts with another protein. It has been recently shown that the probability of interaction is also higher for proteins with significant sequence similarity. In this paper we show that proteins sharing identical PFAM domains interact more often than expected by chance in Saccharomyces cerevisiae and Escherichia coli. We also analyze the variety of domain interfaces used by homologous proteins to interact and show that the overrepresentation of interactions between homological proteins is not caused by small number of pairs of identical "sticky domains" shared between interacting proteins.     

Prediction and comparison of Salmonella-human and Salmonella-Arabidopsis interactomes

Salmonellosis caused by Salmonella bacteria is a food-borne disease and a worldwide health threat causing millions of infections and thousands of deaths every year. This pathogen infects an unusually broad range of host organisms including human and plants. A better understanding of the mechanisms of communication between Salmonella and its hosts requires identifying the interactions between Salmonella and host proteins. Protein-protein interactions (PPIs) are the fundamental building blocks of communication. Here, we utilize the prediction platform BIANA to obtain the putative Salmonella-human and Salmonella-Arabidopsis interactomes based on sequence and domain similarity to known PPIs. A gold standard list of Salmonella-host PPIs served to validate the quality of the human model. 24,726 and 10,926 PPIs comprising interactions between 38 and 33 Salmonella effectors and virulence factors with 9,740 human and 4,676 Arabidopsis proteins, respectively, were predicted. Putative hub proteins could be identified, and parallels between the two interactomes were discovered. This approach can provide insight into possible biological functions of so far uncharacterized proteins. The predicted interactions are available via a web interface which allows filtering of the database according to parameters provided by the user to narrow down the list of suspected interactions. The interactions are available via a web interface at http://sbi.imim.es/web/SHIPREC.php.     

大规模蛋白质相互作用组实验技术及其应用

大规模蛋白质相互作用研究的主要实验技术包括酵母双杂交技术、串联亲和纯化技术和蛋白质芯片技术,随着这些技术的不断发展和完善,科学家们在模式生物、哺乳动物、病原微生物中展开了大规模的蛋白质相互作用组研究,并进行了药物研发方面的研究,绘制了多种生物的蛋白质相互作用连锁图,揭示了多种蛋白质的新功能,为全面研究蛋白质（群）的分子作用机制、药物研发和疾病的临床预防与治疗等提供了崭新的线索。     

Structural Organization of Mammalian Prions as Probed by Limited Proteolysis

Elucidation of the structure of PrP^Sc continues to be one major challenge in prion research. The mechanism of propagation of these infectious agents will not be understood until their structure is solved. Given that high resolution techniques such as NMR or X-ray crystallography cannot be used, a number of lower resolution analytical approaches have been attempted. Thus, limited proteolysis has been successfully used to pinpoint flexible regions within prion multimers (PrP^Sc). However, the presence of covalently attached sugar antennae and glycosylphosphatidylinositol (GPI) moieties makes mass spectrometry-based analysis impractical. In order to surmount these difficulties we analyzed PrP^Sc from transgenic mice expressing prion protein (PrP) lacking the GPI membrane anchor. Such animals produce prions that are devoid of the GPI anchor and sugar antennae, and, thereby, permit the detection and location of flexible, proteinase K (PK) susceptible regions by Western blot and mass spectrometry-based analysis. GPI-less PrP^Sc samples were digested with PK. PK-resistant peptides were identified, and found to correspond to molecules cleaved at positions 81, 85, 89, 116, 118, 133, 134, 141, 152, 153, 162, 169 and 179. The first 10 peptides (to position 153), match very well with PK cleavage sites we previously identified in wild type PrP^Sc. These results reinforce the hypothesis that the structure of PrP^Sc consists of a series of highly PK-resistant β-sheet strands connected by short flexible PK-sensitive loops and turns. A sizeable C-terminal stretch of PrP^Sc is highly resistant to PK and therefore perhaps also contains β-sheet secondary structure.     

Virus-host interactomes and global models of virus-infected cells

Novel high-throughput technologies such as yeast two-hybrid and RNA interference (RNAi) screens provide the tools to study interactions between viral proteins and the host on a genomic scale. In this review, we provide an overview of studies in which these technologies were applied and of computational approaches for the analysis of the identified viral interactors in the context of the host cell. The results of these studies illustrate the advantages of integrative systems biology approaches in the investigation of viral pathogens.     

Histochemistry of carbohydrates as performed by physical development procedures

Summary The histochemistry of carbohydrates demonstrated by means of physical development procedures has been reviewed in terms of the use and reliability of the procedures, physical developers, practice of the procedures, a fundamental series of light and electron microscopic methods and certain other promising aspects of this area of histochemistry. A line of fundamental light- and electron-microscopic histochemical methods for carbohydrates using physical development procedures such as periodic acid thiocarbohydrazide-silver protein-physical development (PA-TCH-SP-PD), high- or low-iron diamine (HID or LID)-TCH-SP-PD and lectin-gold (LT-G)-PD and related methods has been found to be more efficient, compared with those without physical development procedures. Since a series of other promising histochemical methods for carbohydrates using physical development procedures have been derived or are now being introduced, these procedures could be regarded as an unusually potent vehicle for effectively advancing carbohydrate histochemistry in both light and electron microscopy.     

Hierarchical modularity and the evolution of genetic interactomes across species

To date, cross-species comparisons of genetic interactomes have been restricted to small or functionally related gene sets, limiting our ability to infer evolutionary trends. To facilitate a more comprehensive analysis, we constructed a genome-scale epistasis map (E-MAP) for the fission yeast Schizosaccharomyces pombe, providing phenotypic signatures for ~60% of the nonessential genome. Using these signatures, we generated a catalog of 297 functional modules, and we assigned function to 144 previously uncharacterized genes, including mRNA splicing and DNA damage checkpoint factors. Comparison with an integrated genetic interactome from the budding yeast Saccharomyces cerevisiae revealed a hierarchical model for the evolution of genetic interactions, with conservation highest within protein complexes, lower within biological processes, and lowest between distinct biological processes. Despite the large evolutionary distance and extensive rewiring of individual interactions, both networks retain conserved features and display similar levels of functional crosstalk between biological processes, suggesting general design principles of genetic interactomes.