Proteome Data Improves Protein Function Prediction in the Interactome of Helicobacter pylori.

Helicobacter pylori is a common pathogen that is estimated to infect half of the human population, causing several diseases such as duodenal ulcer. Despite one of the first pathogens to be sequenced, its proteome remains poorly characterized as about one-third of its proteins have no functional annotation. Here, we integrate and analyze known protein interactions with proteomic and genomic data from different sources. We find that proteins with similar abundances tend to interact. Such an observation is accompanied by a trend of interactions to appear between proteins of similar functions, although some show marked cross-talk to others. Protein function prediction with protein interactions is significantly improved when interactions from other bacteria are included in our network, allowing us to obtain putative functions of more than 300 poorly or previously uncharacterized proteins. Proteins that are critical for the topological controllability of the underlying network are significantly enriched with genes that are up-regulated in the spiral compared with the coccoid form of H. pylori Determining their evolutionary conservation, we present evidence that 80 protein complexes are identical in composition with their counterparts in Escherichia coli, while 85 are partially conserved and 120 complexes are completely absent. Furthermore, we determine network clusters that coincide with related functions, gene essentiality, genetic context, cellular localization, and gene expression in different cellular states.

The interactome of Streptococcus pneumoniae and its bacteriophages show highly specific patterns of interactions among bacteria and their phages.

Although an abundance of bacteriophages exists, little is known about interactions between their proteins and those of their bacterial hosts. Here, we experimentally determined the phage-host interactomes of the phages Dp-1 and Cp-1 and their underlying protein interaction network in the host Streptococcus pneumoniae. We compared our results to the interaction patterns of E. coli phages lambda and T7. Dp-1 and Cp-1 target highly connected host proteins, occupy central network positions, and reach many protein clusters through the interactions of their targets. In turn, lambda and T7 targets cluster to conserved and essential proteins in E. coli, while such patterns were largely absent in S. pneumoniae. Furthermore, targets in E. coli were mutually strongly intertwined, while targets of Dp-1 and Cp-1 were strongly connected through essential and orthologous proteins in their immediate network vicinity. In both phage-host systems, the impact of phages on their protein targets appears to extend from their network neighbors, since proteins that interact with phage targets were located in central network positions, have a strong topologically disruptive effect and touch complexes with high functional heterogeneity. Such observations suggest that the phages, biological impact is accomplished through a surprisingly limited topological reach of their targets.

The EHEC-host interactome reveals novel targets for the translocated intimin receptor.

Enterohemorrhagic E. coli (EHEC) manipulate their human host through at least 39 effector proteins which hijack host processes through direct protein-protein interactions (PPIs). To identify their protein targets in the host cells, we performed yeast two-hybrid screens, allowing us to find 48 high-confidence protein-protein interactions between 15 EHEC effectors and 47 human host proteins. In comparison to other bacteria and viruses we found that EHEC effectors bind more frequently to hub proteins as well as to proteins that participate in a higher number of protein complexes. The data set includes six new interactions that involve the translocated intimin receptor (TIR), namely HPCAL1, HPCAL4, NCALD, ARRB1, PDE6D, and STK16. We compared these TIR interactions in EHEC and enteropathogenic E. coli (EPEC) and found that five interactions were conserved. Notably, the conserved interactions included those of serine/threonine kinase 16 (STK16), hippocalcin-like 1 (HPCAL1) as well as neurocalcin-delta (NCALD). These proteins co-localize with the infection sites of EPEC. Furthermore, our results suggest putative functions of poorly characterized effectors (EspJ, EspY1). In particular, we observed that EspJ is connected to the microtubule system while EspY1 appears to be involved in apoptosis/cell cycle regulation.

A second-generation protein-protein interaction network of Helicobacter pylori.

Helicobacter pylori infections cause gastric ulcers and play a major role in the development of gastric cancer. In 2001, the first protein interactome was published for this species, revealing over 1500 binary protein interactions resulting from 261 yeast two-hybrid screens. Here we roughly double the number of previously published interactions using an ORFeome-based, proteome-wide yeast two-hybrid screening strategy. We identified a total of 1515 protein-protein interactions, of which 1461 are new. The integration of all the interactions reported in H. pylori results in 3004 unique interactions that connect about 70% of its proteome. Excluding interactions of promiscuous proteins we derived from our new data a core network consisting of 908 interactions. We compared our data set to several other bacterial interactomes and experimentally benchmarked the conservation of interactions using 365 protein pairs (interologs) of E. coli of which one third turned out to be conserved in both species.

The binary protein-protein interaction landscape of Escherichia coli.

Efforts to map the Escherichia coli interactome have identified several hundred macromolecular complexes, but direct binary protein-protein interactions (PPIs) have not been surveyed on a large scale. Here we performed yeast two-hybrid screens of 3,305 baits against 3,606 preys (∼70% of the E. coli proteome) in duplicate to generate a map of 2,234 interactions, which approximately doubles the number of known binary PPIs in E. coli. Integration of binary PPI and genetic-interaction data revealed functional dependencies among components involved in cellular processes, including envelope integrity, flagellum assembly and protein quality control. Many of the binary interactions that we could map in multiprotein complexes were informative regarding internal topology of complexes and indicated that interactions in complexes are substantially more conserved than those interactions connecting different complexes. This resource will be useful for inferring bacterial gene function and provides a draft reference of the basic physical wiring network of this evolutionarily important model microbe.

Lightning strike as probable cause of death and determining identity based on the examination of skeletal remains.

In this article, a case of examining an incomplete human skeleton found in a forest is presented. Based on the assessment of posttraumatic lesions in the skull bones, the cause of death of a man who had died 14 years prior to the examination was determined with high probability to be due to a lightning strike. Moreover, the rare pathological lesions within the skeleton, such as a healed fracture of the humerus and rheumatoid malformations within the hand, in reference to preserved medical records, have also allowed to identify the deceased. Most noteworthy points in this case are, however, initially difficult to comprehend, posttraumatic lesions within the bones of the skull such as carbonization and fracture of the vertex. Their origin can be explained by a lightning strike as the most probable cause of death. Thus, the presented case demonstrates probable cause of death and identity can be established many years after death, based on skeletal remains.

Bacteriophage protein-protein interactions.

Bacteriophages T7, λ, P22, and P2/P4 (from Escherichia coli), as well as ϕ29 (from Bacillus subtilis), are among the best-studied bacterial viruses. This chapter summarizes published protein interaction data of intraviral protein interactions, as well as known phage-host protein interactions of these phages retrieved from the literature. We also review the published results of comprehensive protein interaction analyses of Pneumococcus phages Dp-1 and Cp-1, as well as coliphages λ and T7. For example, the ≈55 proteins encoded by the T7 genome are connected by ≈43 interactions with another ≈15 between the phage and its host. The chapter compiles published interactions for the well-studied phages λ (33 intra-phage/22 phage-host), P22 (38/9), P2/P4 (14/3), and ϕ29 (20/2). We discuss whether different interaction patterns reflect different phage lifestyles or whether they may be artifacts of sampling. Phages that infect the same host can interact with different host target proteins, as exemplified by E. coli phage λ and T7. Despite decades of intensive investigation, only a fraction of these phage interactomes are known. Technical limitations and a lack of depth in many studies explain the gaps in our knowledge. Strategies to complete current interactome maps are described. Although limited space precludes detailed overviews of phage molecular biology, this compilation will allow future studies to put interaction data into the context of phage biology.

RsfA (YbeB) proteins are conserved ribosomal silencing factors.

The YbeB (DUF143) family of uncharacterized proteins is encoded by almost all bacterial and eukaryotic genomes but not archaea. While they have been shown to be associated with ribosomes, their molecular function remains unclear. Here we show that YbeB is a ribosomal silencing factor (RsfA) in the stationary growth phase and during the transition from rich to poor media. A knock-out of the rsfA gene shows two strong phenotypes: (i) the viability of the mutant cells are sharply impaired during stationary phase (as shown by viability competition assays), and (ii) during transition from rich to poor media the mutant cells adapt slowly and show a growth block of more than 10 hours (as shown by growth competition assays). RsfA silences translation by binding to the L14 protein of the large ribosomal subunit and, as a consequence, impairs subunit joining (as shown by molecular modeling, reporter gene analysis, in vitro translation assays, and sucrose gradient analysis). This particular interaction is conserved in all species tested, including Escherichia coli, Treponema pallidum, Streptococcus pneumoniae, Synechocystis PCC 6803, as well as human mitochondria and maize chloroplasts (as demonstrated by yeast two-hybrid tests, pull-downs, and mutagenesis). RsfA is unrelated to the eukaryotic ribosomal anti-association/60S-assembly factor eIF6, which also binds to L14, and is the first such factor in bacteria and organelles. RsfA helps cells to adapt to slow-growth/stationary phase conditions by down-regulating protein synthesis, one of the most energy-consuming processes in both bacterial and eukaryotic cells.

Differences between unipolar and bipolar I depression in the quantitative analysis of glutamic acid decarboxylase-immunoreactive neuropil.

Alterations in GABAergic neurotransmission are assumed to play a crucial role in the pathophysiology of mood disorders. Glutamic acid decarboxylase (GAD) is the key enzyme in GABA synthesis. This study aimed to differentiate between unipolar and bipolar I depression using quantitative evaluation of GAD-immunoreactive (GAD-ir) neuropil in several brain regions known to be involved in the pathophysiology of mood disorders. Immunohistochemical staining of GAD 65/67 was performed in the orbitofrontal, anterior cingulate and dorsolateral prefrontal cortex (DLPFC), the entorhinal cortex, the hippocampal formation and the medial dorsal and lateral dorsal (LD) thalamic nuclei, with a quantitative densitometric analysis of GAD-ir neuropil. The study was performed on paraffin-embedded brains from 9 unipolar and 12 bipolar I depressed patients (8 and 6 suicidal patients, respectively) and 18 matched controls. In unipolar patients, compared with controls, only the increased relative density of GAD-ir neuropil in the right LD was different from the previous results in depressed suicides from the same cohort (Gos et al. in J Affect Disord 113:45-55, 2009). On the other hand, the left DLPFC was the only area where a significant decrease was observed, specific for bipolar I depression. Significant differences between both diagnostic groups were found in these regions. By revealing abnormalities in the relative density of GAD-ir neuropil in brain structures, our study suggests a diathesis of the GABAergic system in mood disorders, which may differentiate the pathophysiology of unipolar from that of bipolar I depression.

Matrix-based yeast two-hybrid screen strategies and comparison of systems.

Today, matrix-based screens are used primarily for smaller and medium-size clone collections in combination with automation and cloning techniques that allow for reliable and fast interaction screening. Matrix-based yeast two-hybrid screens are an alternative to library-based screens. However, intermediary forms are possible too and we compare both strategies, including a detailed discussion of matrix-based screens. Recent improvement of matrix screens (also called array screens) uses various pooling strategies as well as novel vectors that increase their efficiency while decreasing false-negative rates and increasing reliability.

Array-based yeast two-hybrid screens: a practical guide.

Yeast two-hybrid screens are carried out as random library screens or matrix-based screens. The latter have the advantage of being better controlled and thus typically give clearer results. In this chapter, we provide detailed protocols for matrix-based Y2H screens and give some helpful instructions how to plan a large-scale interaction screen. We also discuss strategies to identify or avoid false negatives and false positives.

Yeast two-hybrid screens: improvement of array-based screening results by N- and C-terminally tagged fusion proteins.

Matrix-based yeast two-hybrid screens are an alternative to library-based screens. Recent improvements of matrix screens (also called array screens), use various pooling strategies as well as novel vectors that increase its efficiency while decreasing the false-negative rate, thus increasing reliability. In this chapter, we describe a screening strategy that systematically combines N- and C-terminal fusion proteins using a recently developed vector system.

Olfactory and tissue markers of fear in mammals including humans.

Pheromones are a mysterious world of chemical signals involved in conspecific communication. They play a number of key functions important for preservation of life of individual organisms, for their defence, survival of offspring and preservation of species. The best-known groups of pheromones include: trail pheromones, territorial pheromones, sex pheromones, aggregation pheromones, dispersion pheromones, repellent pheromones, social pheromones and alarm pheromones. Alarm pheromones are pheromones that are emitted by animals in threatening situations and inform members of the same species of danger. The identified alarm pheromones are synthesised by insects and aquatic organisms. Also humans are able to emit and perceive pheromones. Although alarm pheromones have not been isolated and identified in man so far, there is presumably evidence for their presence in humans. Pinpointing human alarm pheromones, determinants of experienced stress and inductors of provoked fear could have widespread consequences. Their identification could also be of significant importance for the practical utilisation of results by institutions responsible for safety and defence as well as law enforcement/crime detection and antiterrorist activities.

The proteome and interactome of Streptococcus pneumoniae phage Cp-1.

Mass spectrometry analysis of Streptococcus pneumoniae bacteriophage Cp-1 identified a total of 12 proteins, and proteome-wide yeast two-hybrid screens revealed 17 binary interactions mainly among these structural proteins. On the basis of the resulting linkage map, we suggest an improved structural model of the Cp-1 virion.

Genome annotation and intraviral interactome for the Streptococcus pneumoniae virulent phage Dp-1.

Streptococcus pneumoniae causes several diseases, including pneumonia, septicemia, and meningitis. Phage Dp-1 is one of the very few isolated virulent S. pneumoniae bacteriophages, but only a partial characterization is currently available. Here, we confirmed that Dp-1 belongs to the family Siphoviridae. Then, we determined its complete genomic sequence of 56,506 bp. It encodes 72 open reading frames, of which 44 have been assigned a function. We have identified putative promoters, Rho-independent terminators, and several genomic clusters. We provide evidence that Dp-1 may be using a novel DNA replication system as well as redirecting host protein synthesis through queuosine-containing tRNAs. Liquid chromatography-mass spectrometry analysis of purified phage Dp-1 particles identified at least eight structural proteins. Finally, using comprehensive yeast two-hybrid screens, we identified 156 phage protein interactions, and this intraviral interactome was used to propose a structural model of Dp-1.

Improving the yeast two-hybrid system with permutated fusions proteins: the Varicella Zoster Virus interactome.

BACKGROUND: Yeast two-hybrid (Y2H) screens have been among the most powerful methods to detect and analyze protein-protein interactions. However, they suffer from a significant degree of false negatives, i.e. true interactions that are not detected, and to a certain degree from false positives, i.e. interactions that appear to take place only in the context of the Y2H assay. While the fraction of false positives remains difficult to estimate, the fraction of false negatives in typical Y2H screens is on the order of 70-90%. Here we present novel Y2H vectors that significantly decrease the number of false negatives and help to mitigate the false positive problem. RESULTS: We have constructed two new vectors (pGBKCg and pGADCg) that allow us to make both C-terminal fusion proteins of DNA-binding and activation domains. Both vectors can be combined with existing vectors for N-terminal fusions and thus allow four different bait-prey combinations: NN, CC, NC, and CN. We have tested all approximately 4,900 pairwise combinations of the 70 Varicella-Zoster-Virus (VZV) proteins for interactions, using all possible combinations. About approximately 20,000 individual Y2H tests resulted in 182 NN, 89 NC, 149 CN, and 144 CC interactions. Overlap between screens ranged from 17% (NC-CN) to 43% (CN-CC). Performing four screens (i.e. permutations) instead of one resulted in about twice as many interactions and thus much fewer false negatives. In addition, interactions that are found in multiple combinations confirm each other and thus provide a quality score. This study is the first systematic analysis of such N- and C-terminal Y2H vectors. CONCLUSIONS: Permutations of C- and N-terminal Y2H vectors dramatically increase the coverage of interactome studies and thus significantly reduce the number of false negatives. We suggest that future interaction screens should use such vector combinations on a routine basis, not the least because they provide a built-in quality score for Y2H interactions that can provide a measure of reproducibility without additional assays.

The potential use of the eye temperature decrease in determining the time of death in the early postmortem period: studies in pigs.

The experiment was performed in pigs during which the postmortem body temperature was continuously measured. The study was focused on a period of time starting 0.5 hours after the animals' termination and consisted in computer recording of the cooling process of the eyeball (vitreous humor), orbit soft tissues, muscles, and the rectum. The experiment revealed the absence of a plateau phase of temperature decrease in eyeball and orbit soft tissues contrary to muscles and rectum, what demonstrates that temperature measurements in the eye could become an alternative method of determining the time of death during the initial phase of postmortem cooling. During this early postmortem period determination of the time of death based on measurements of the rectum or muscles temperatures due to existing plateau is not possible.

Estimation of the time of death based on the assessment of post mortem processes with emphasis on body cooling.

This paper presents a review of the literature referring to the estimation of the time of death (TOD) over nearly 200 years. Emphasis is put on the development of the methods taking advantage of the decrease in body temperature after death, measured in various body sites. The review is complemented by the first authors' own experiences on TOD estimation based on post mortem temperature measurements in the eyeball and orbit soft tissues.

The binary protein interactome of Treponema pallidum--the syphilis spirochete.

Protein interaction networks shed light on the global organization of proteomes but can also place individual proteins into a functional context. If we know the function of bacterial proteins we will be able to understand how these species have adapted to diverse environments including many extreme habitats. Here we present the protein interaction network for the syphilis spirochete Treponema pallidum which encodes 1,039 proteins, 726 (or 70%) of which interact via 3,649 interactions as revealed by systematic yeast two-hybrid screens. A high-confidence subset of 991 interactions links 576 proteins. To derive further biological insights from our data, we constructed an integrated network of proteins involved in DNA metabolism. Combining our data with additional evidences, we provide improved annotations for at least 18 proteins (including TP0004, TP0050, and TP0183 which are suggested to be involved in DNA metabolism). We estimate that this "minimal" bacterium contains on the order of 3,000 protein interactions. Profiles of functional interconnections indicate that bacterial proteins interact more promiscuously than eukaryotic proteins, reflecting the non-compartmentalized structure of the bacterial cell. Using our high-confidence interactions, we also predict 417,329 homologous interactions ("interologs") for 372 completely sequenced genomes and provide evidence that at least one third of them can be experimentally confirmed.

Improving the resolution of neuropeptides in rat brain with on-line HILIC-RP compared to on-line SCX-RP.

Our two already established on-line 2-D LC systems, a strong cation exchange-RP chromatography (SCX-RP) system and a hydrophilic interaction LC (HILIC)-RP 2-D LC system, were compared to explore which system is best suited for our further studies of differences in cerebral neuropeptide expression as a function of hypoxia-caused stress. The same mass spectrometer and database search parameters were applied in both systems. In total, 19 first dimension fractions were collected with the novel on-line HILIC-RP system, including a Hypercarb SPE column that was applied to trap the compounds not retained on a Kromasil C18 enrichment column. In contrast, six fractions were collected in the SCX-RP method, due to practical limitations of this traditional on-line 2-D LC system. With the on-line HILIC-RP system three times more peaks were detected. It was observed that most of the compounds eluted in the first two fractions in the SCX-RP method, while in the 2-D HILIC-RP method there seemed to be no correlation between peaks detected and fraction number. Thus, from this systematic study it seems that on-line HILIC-RP chromatography is the method of choice for comparative peptidomics of cerebral neuropeptides in future studies.