Quantitative detection of Staphylococcus aureus, Enterococcus faecalis and Pseudomonas aeruginosa in human oral epithelial cells from subjects with periodontitis and periodontal health

Epithelial cells in oral cavities can be considered reservoirs for a variety of bacterial species. A polymicrobial intracellular flora associated with periodontal disease has been demonstrated in buccal cells. Important aetiological agents of systemic and nosocomial infections have been detected in the microbiota of subgingival biofilm, especially in individuals with periodontal disease. However, non-oral pathogens internalized in oral epithelial cells and their relationship with periodontal status are poorly understood. The purpose of this study was to detect opportunistic species within buccal and gingival crevice epithelial cells collected from subjects with periodontitis or individuals with good periodontal health, and to associate their prevalence with periodontal clinical status. Quantitative detection of total bacteria and Staphylococcus aureus, Pseudomonas aeruginosa and Enterococcus faecalis in oral epithelial cells was determined by quantitative real-time PCR using universal and species-specific primer sets. Intracellular bacteria were visualized by confocal microscopy and fluorescence in situ hybridization. Overall, 33 % of cell samples from patients with periodontitis contained at least one opportunistic species, compared with 15 % of samples from healthy individuals. E. faecalis was the most prevalent species found in oral epithelial cells (detected in 20.6 % of patients with periodontitis, P = 0.03 versus healthy individuals) and was detected only in cells from patients with periodontitis. Quantitative real-time PCR showed that high levels of P. aeruginosa and S. aureus were present in both the periodontitis and healthy groups. However, the proportion of these species was significantly higher in epithelial cells of subjects with periodontitis compared with healthy individuals (P = 0.016 for P. aeruginosa and P = 0.047 for S. aureus). Although E. faecalis and P. aeruginosa were detected in 57 % and 50 % of patients, respectively, with probing depth and clinical attachment level ≥6 mm, no correlation was found with age, sex, bleeding on probing or the presence of supragingival biofilm. The prevalence of these pathogens in epithelial cells is correlated with the state of periodontal disease.

Staphylococcus aureus thiaminase II: oligomerization warrants proteolytic protection against serine proteases

Staphylococcus aureus TenA (SaTenA) is a thiaminase type II enzyme that catalyzes the deamination of aminopyrimidine, as well as the cleavage of thiamine into 4-amino-5-hydroxymethyl-2-methylpyrimidine (HMP) and 5-(2-hydroxyethyl)-4-methylthiazole (THZ), within thiamine (vitamin B1) metabolism. Further, by analogy with studies of Bacillus subtilis TenA, SaTenA may act as a regulator controlling the secretion of extracellular proteases such as the subtilisin type of enzymes in bacteria. Thiamine biosynthesis has been identified as a potential drug target of the multi-resistant pathogen S. aureus and therefore all enzymes involved in the S. aureus thiamine pathway are presently being investigated in detail. Here, the structure of SaTenA, determined by molecular replacement and refined at 2.7 A ° resolution to an R factor of 21.6% with one homotetramer in the asymmetric unit in the orthorhombic space group P212121, is presented. The tetrameric state of wild-type (WT) SaTenA was postulated to be the functional biological unit and was confirmed by small-angle X-ray scattering (SAXS) experiments in solution. To obtain insights into structural and functional features of the oligomeric SaTenA, comparative kinetic investigations as well as experiments analyzing the structural stability of the WT SaTenA tetramer versus a monomeric SaTenA mutant were performed.

From "wet biology" to statistical analysis of structural features with bioinformatics tools

Many new Escherichia coli outer membrane proteins have recently been identified by proteomics techniques. However, poorly expressed proteins and proteins expressed only under certain conditions may escape detection when wild-type cells are grown under standard conditions. Here, we have taken a complementary approach where candidate outer membrane proteins have been identified by bioinformatics prediction, cloned and overexpressed, and finally localized by cell fractionation experiments. Out of eight predicted outer membrane proteins, we have confirmed the outer membrane localization for five—YftM, YaiO, YfaZ, CsgF, and YliI—and also provide preliminary data indicating that a sixth—YfaL—may be an outer membrane autotransporter.

Design and implementation of bioinformatics tools for large scale genome annotation

The continuous increase of genome sequencing projects produced a huge amount of data in the last 10 years: currently more than 600 prokaryotic and 80 eukaryotic genomes are fully sequenced and publically available. However the sole sequencing process of a genome is able to determine just raw nucleotide sequences. This is only the first step of the genome annotation process that will deal with the issue of assigning biological information to each sequence. The annotation process is done at each different level of the biological information processing mechanism, from DNA to protein, and cannot be accomplished only by in vitro analysis procedures resulting extremely expensive and time consuming when applied at a this large scale level. Thus, in silico methods need to be used to accomplish the task. The aim of this work was the implementation of predictive computational methods to allow a fast, reliable, and automated annotation of genomes and proteins starting from aminoacidic sequences. The first part of the work was focused on the implementation of a new machine learning based method for the prediction of the subcellular localization of soluble eukaryotic proteins. The method is called BaCelLo, and was developed in 2006. The main peculiarity of the method is to be independent from biases present in the training dataset, which causes the over‐prediction of the most represented examples in all the other available predictors developed so far. This important result was achieved by a modification, made by myself, to the standard Support Vector Machine (SVM) algorithm with the creation of the so called Balanced SVM. BaCelLo is able to predict the most important subcellular localizations in eukaryotic cells and three, kingdom‐specific, predictors were implemented. In two extensive comparisons, carried out in 2006 and 2008, BaCelLo reported to outperform all the currently available state‐of‐the‐art methods for this prediction task. BaCelLo was subsequently used to completely annotate 5 eukaryotic genomes, by integrating it in a pipeline of predictors developed at the Bologna Biocomputing group by Dr. Pier Luigi Martelli and Dr. Piero Fariselli. An online database, called eSLDB, was developed by integrating, for each aminoacidic sequence extracted from the genome, the predicted subcellular localization merged with experimental and similarity‐based annotations. In the second part of the work a new, machine learning based, method was implemented for the prediction of GPI‐anchored proteins. Basically the method is able to efficiently predict from the raw aminoacidic sequence both the presence of the GPI‐anchor (by means of an SVM), and the position in the sequence of the post‐translational modification event, the so called ω‐site (by means of an Hidden Markov Model (HMM)). The method is called GPIPE and reported to greatly enhance the prediction performances of GPI‐anchored proteins over all the previously developed methods. GPIPE was able to predict up to 88% of the experimentally annotated GPI‐anchored proteins by maintaining a rate of false positive prediction as low as 0.1%. GPIPE was used to completely annotate 81 eukaryotic genomes, and more than 15000 putative GPI‐anchored proteins were predicted, 561 of which are found in H. sapiens. In average 1% of a proteome is predicted as GPI‐anchored. A statistical analysis was performed onto the composition of the regions surrounding the ω‐site that allowed the definition of specific aminoacidic abundances in the different considered regions. Furthermore the hypothesis that compositional biases are present among the four major eukaryotic kingdoms, proposed in literature, was tested and rejected. All the developed predictors and databases are freely available at: BaCelLo http://gpcr.biocomp.unibo.it/bacello eSLDB http://gpcr.biocomp.unibo.it/esldb GPIPE http://gpcr.biocomp.unibo.it/gpipe

Enabling computationally intensive bioinformatics applications on the Grid platform

Bioinformatics is a recent and emerging discipline which aims at studying biological problems through computational approaches. Most branches of bioinformatics such as Genomics, Proteomics and Molecular Dynamics are particularly computationally intensive, requiring huge amount of computational resources for running algorithms of everincreasing complexity over data of everincreasing size. In the search for computational power, the EGEE Grid platform, world's largest community of interconnected clusters load balanced as a whole, seems particularly promising and is considered the new hope for satisfying the everincreasing computational requirements of bioinformatics, as well as physics and other computational sciences. The EGEE platform, however, is rather new and not yet free of problems. In addition, specific requirements of bioinformatics need to be addressed in order to use this new platform effectively for bioinformatics tasks. In my three years' Ph.D. work I addressed numerous aspects of this Grid platform, with particular attention to those needed by the bioinformatics domain. I hence created three major frameworks, Vnas, GridDBManager and SETest, plus an additional smaller standalone solution, to enhance the support for bioinformatics applications in the Grid environment and to reduce the effort needed to create new applications, additionally addressing numerous existing Grid issues and performing a series of optimizations. The Vnas framework is an advanced system for the submission and monitoring of Grid jobs that provides an abstraction with reliability over the Grid platform. In addition, Vnas greatly simplifies the development of new Grid applications by providing a callback system to simplify the creation of arbitrarily complex multistage computational pipelines and provides an abstracted virtual sandbox which bypasses Grid limitations. Vnas also reduces the usage of Grid bandwidth and storage resources by transparently detecting equality of virtual sandbox files based on content, across different submissions, even when performed by different users. BGBlast, evolution of the earlier project GridBlast, now provides a Grid Database Manager (GridDBManager) component for managing and automatically updating biological flatfile databases in the Grid environment. GridDBManager sports very novel features such as an adaptive replication algorithm that constantly optimizes the number of replicas of the managed databases in the Grid environment, balancing between response times (performances) and storage costs according to a programmed cost formula. GridDBManager also provides a very optimized automated management for older versions of the databases based on reverse delta files, which reduces the storage costs required to keep such older versions available in the Grid environment by two orders of magnitude. The SETest framework provides a way to the user to test and regressiontest Python applications completely scattered with side effects (this is a common case with Grid computational pipelines), which could not easily be tested using the more standard methods of unit testing or test cases. The technique is based on a new concept of datasets containing invocations and results of filtered calls. The framework hence significantly accelerates the development of new applications and computational pipelines for the Grid environment, and the efforts required for maintenance. An analysis of the impact of these solutions will be provided in this thesis. This Ph.D. work originated various publications in journals and conference proceedings as reported in the Appendix. Also, I orally presented my work at numerous international conferences related to Grid and bioinformatics.

Charakterisierung von apoFNR, einer weiteren Form des Sauerstoffsensors FNR aus Escherichia coli und von NreB, einem potentiellen Sauerstoffsensor aus Staphylococcus carnosus

FNR (Fumarat Nitratreduktase Regulator) ist der Sauerstoffsensor aus Escherichia coli. Bisher waren zwei Formen von FNR bekannt, der aktive Zustand, ein Dimer mit je einem [4Fe4S]-Zentrum und ein inaktiver Zustand, in dem FNR als Monomer mit je einem [2Fe2S]-Zentrum vorliegt. Die Untersuchungen dieser Arbeit geben nun Hinweise, dass es mit apoFNR eine dritte physiologische Form von FNR gibt. Es wurde die Entstehung von apoFNR aus [4Fe4S]•FNR untersucht und die biochemischen Eigenschaften von apoFNR charakterisiert. ApoFNR konnte in vitro zu [4Fe4S]•FNR rekonstituiert werden, hierbei konnte die Lagphase der Rekonstitution durch Zusatz von Glutaredoxinen zum Rekonstitutionsansatz verkürzt werden. FNR, dessen Cysteinreste in vivo unter aeroben bzw. anaeroben Bedingungen mit 4-Acetamido-4´-Maleimidylstilbene-2,2´Disulfonsäure markiert wurden, zeigt auf SDS-Gelen einen Shift zu einer höheren Masse im Vergleich zu unmarkiertem FNR. Allerdings trat in aeroben Zellen eine zusätzliche Bande bei einer niedrigeren Masse auf. Es waren hier also weniger Cysteinreste markierbar. Weiterhin wurde mit NreB ein potentieller Sauerstoffsensor aus Staphylococcus carnosus untersucht. Es wurden Hinweise auf ein Eisen-Schwefel-Zentrum vom FNR-Typ als Cofaktor gefunden. Der Einbau dieses Cofaktors war abhängig von der Anwesenheit der Cysteinreste in NreB, von der Cysteindesulfurase NifSAV und von Eisenionen. Der Cofaktor war sauerstoffempfindlich und beeinflusste die Autophosphorylierung von NreB.

On the cellular stress response to Staphylococcus aureus alpha-toxin

Staphylococcus aureus alpha-hemolysin was the first bacterial toxin recognized to form pores in the plasma membrane of eukaryotic cells. It is secreted as a water-soluble monomer that upon contact with target membranes forms an amphiphatic heptameric beta-barrel which perforates the bilayer. As a consequence, red cells undergo colloidosmotic lyses, while some nucleated cells may succumb to necrosis or programmed cell death. However, most cells are capable of repairing a limited number of membrane lesions, and then respond with productive transcriptional activation of NF-kB. In the present study, by using microarray and semiquantitative reverse transcriptase polymerase chain reaction (RT-PCR), data from a previously performed serial analysis of gene expression (SAGE) were extended and verified, revealing that immediate early genes (IEGs) such as c-fos, c-jun and egr-1 are strongly induced at 2-8 h after transient toxin treatment. Activating protein 1 (AP-1: c-Fos, c-Jun) binding activity was increased accordingly. As IEGs are activated by growth factors, these findings led to the discovery that -toxin promotes cell cycle progression of perforated cells in an EGFR-dependent fashion. Although the amount of c-fos mRNA rose rapidly after toxin treatment, c-Fos protein expression was observed only after a lag of about 3 h. Since translation consumes much ATP, which transiently drops after transient membrane perforation, the suspicion arised that membrane-perforation caused global, but temporary downregulation of translation. In fact, eIF2α became heavily phosphorylated minutes after cells had been confronted with the toxin, resulting in shutdown of protein synthesis before cellular ATP levels reached the nadir. GCN2 emerged as a candidate eIF2α kinase, since its expression rapidly increased in toxin-treated cells. Two hours after toxin treatment, GADD34 transcripts, encoding a protein that targets the catalytic subunit of protein phosphatase 1 (PP1) to the endoplasmic reticulum, were overexpressed. This was followed by dephosphorylation of eIF2α and resumption of protein synthesis. Addition of tautomycetin, a specific inhibitor of PP1, led to marked hyperphosphorylation of eIF2α and significantly reduced the drop of ATP-levels in toxin-treated cells. A novel link between two major stress-induced signalling pathways emerged when it was found that both translational arrest and restart were under the control of stress-activated protein kinase (SAPK) p38. The data provide an explanation for the indispensible role of p38 for defence against the archetypal threat of membrane perforation by agents that produce small transmembrane-pores.

Characterization of the structure and iron uptake mechanisms of the Staphylococcus aureus ferric hydroxamate-binding lipoprotein FhuD2

The Reverse Vaccinology (RV) approach allows using genomic information for the delineation of new protein-based vaccines starting from an in silico analysis. The first powerful example of the application of the RV approach is given by the development of a protein-based vaccine against serogroup B Meningococcus. A similar approach was also used to identify new Staphylococcus aureus vaccine candidates, including the ferric hydroxamate-binding lipoprotein FhuD2. S. aureus is a widespread human pathogen, which employs various different strategies for iron uptake, including: (i) siderophore-mediated iron acquisition using the endogenous siderophores staphyloferrin A and B, (ii) siderophore-mediated iron acquisition using xeno-siderophores (the pathway exploited by FhuD2) and (iii) heme-mediated iron acquisition. In this work the high resolution crystal structure of FhuD2 in the iron (III)-siderophore-bound form was determined. FhuD2 belongs to the Periplasmic Binding Protein family (PBP ) class III, and is principally formed by two globular domains, at the N- and C-termini of the protein, that make up a cleft where ferrichrome-iron (III) is bound. The N- and C-terminal domains, connected by a single long α-helix, present Rossmann-like folds, showing a β-stranded core and an α-helical periphery, which do not undergo extensive structural rearrangement when they interact with the ligand, typical of class III PBP members. The structure shows that ferrichrome-bound iron does not come directly into contact with the protein; rather, the metal ion is fully coordinated by six oxygen donors of the hydroxamate groups of three ornithine residues, which, with the three glycine residues, make up the peptide backbone of ferrichrome. Furthermore, it was found that iron-free ferrichrome is able to subtract iron from transferrin. This study shows for the first time the structure of FhuD2, which was found to bind to siderophores ,and that the protein plays an important role in S. aureus colonization and infection phases.

Biochemische Charakterisierung des O 2-Sensors NreB aus Staphylococcus carnosus

Staphylococcus carnosus wird in der Lebensmittelindustrie als Starterkultur in der Rohwurstfermentation eingesetzt. Das Gram-positive Bakterium ist fakultativ anaerob und kann unter anaeroben Bedingungen Nitrat und Nitrit zu Ammonium reduzieren. Die Expression der Gene der Nitrat-, Nitritreduktase und des potentiellen Nitrattrans-porters, wird vom NreBC Zwei-Komponentensystem reguliert. NreB ist eine cy-toplasmatische Sensor-Histidinkinase, die Ähnlichkeiten zu HämB-bindenden PAS-Domänen aufweist. NreB reagiert auf Sauerstoff und kontrolliert zusammen mit dem Response-Regulator NreC die Expression der Gene der Nitrat/Nitrit-Atmung. Die Gene nreBC wurden in Staphylococcus Arten, Bacillus clausii und anderen Bacil-lus Arten gefunden. Anaerob präpariertes NreB von S. carnosus enthält ein diamag-netisches [4Fe-4S]2+-Zentrum, das durch Mössbauer-Spektroskopie identifiziert wur-de. Nach Luftexposition wurde das [4Fe-4S]2+-Zentrum mit einer Halbwertszeit von 2,5 Minuten zu nicht an das Protein gebundenem γ-FeOOH oxidiert. Mit EPR- und Mössbauer-Spektroskopie konnten keine signifikanten Mengen von Zwischenstufen detektiert werden. Photoreduktion mit Deazaflavin lieferte kleine Mengen von [4Fe-4S]1+, die aber nicht stabil waren und sofort wieder zerfielen. Das magnetische Mössbauer-Spektrum des [4Fe-4S]2+-Zentrums wies eine hohe Symmetrie auf, wor-aus man auf eine vollständige Delokalisation der Elektronen und dieselben Liganden für alle Eisenionen schließen kann. In Übereinstimmung mit ihrer Rolle als Liganden des FeS-Zentrums inaktivierte der Austausch der einzelnen Cysteinreste (Cys59, Cys62, Cys74, Cys77) gegen Alanin oder Serin die Funktion von NreB in vivo. Die [4Fe-4S]2+-enthaltende Form von NreB besaß eine hohe Kinaseaktivität. Luftexposition erniedrigte den Gehalt an [4Fe-4S]2+-Zentrum und die Kinaseaktivität mit ähnlichen Halbwertszeiten von 2,5 min. Die Sensor-Domäne von NreB ist eine neuartige PAS-Domäne, die einen FeS-haltigen Co-Faktor (in diesem Fall ein [4Fe-4S]2+-Zentrum) zur Reizperzeption be-sitzt. Das O2-sensitive [4Fe-4S]2+-Zentrum von NreB ist dem [4Fe-4S]2+-Zentrum des DNA-bindenden FNR Proteins aus Escherichia coli ähnlich und kommt möglicherwei-se in anderen O2-wahrnehmenden bakteriellen Proteinen vor. Daraus kann man schließen, dass der Mechanismus der Sauerstoffwahrnehmung über O2-sensitive [4Fe-4S]2+-Zentren in der Evolution mehrfach und unabhängig voneinander in ver-schiedenen bakteriellen O2-Sensoren entstanden ist.

The silent survival of Staphylococcus aureus phagocyted by HL-60 derived neutrophils

Staphylococcus aureus is a Gram positive pathogen that causes various human infections and represents one of the most common causes of bacteremia. S. aureus is able to invade a variety of non-professional phagocytes and that can survive engulfment by neutrophils, producing both secreted and surface components that compromise innate immune responses. In the contest of our study we evaluated the functional activity of vaccine specific antibodies by opsonophagocytosis killing assay (OPKA). Interestingly a low level of killing of the staphylococcal cells has been observed. In the meanwhile intracellular survival studies showed that S. aureus persisted inside phagocytes for several hours until a burst of growth after 5 hours in the supernatant. These data suggest that the strong ability of S. aureus to survive in the phagocytes could be the cause of the low killing measured by OPKA. Moreover parallel studies on HL-60 cells infected with S. aureus done by using transmission electron microscopy (TEM) interestingly showed that staphylococcal cells have an intracellular localization (endosomal vacuoles) and that they are able not only to maintain the integrity of their membrane but also to replicate inside vacuolar compartments. Finally in order to generate 3D volume of whole bacteria when present inside neutrophilic vacuoles, we collected a series of tomographic two-dimensional (2D) images by using a transmission electron microscope, generating 5 different tomograms. The three-dimensional reconstruction reveals the presence of intact bacteria within neutrophil vacuoles. The S. aureus membrane appears completely undamaged and integral in contrast with the physiological process of phagosytosis through vacuoles progression. S. aureus bacteria show a homogenous distribution of the density in all the three dimensions (X, Y, Z). All these evidences definitely explain the ability of the pathogen to survive inside the endosomal vacuoles and should be the cause of the low killing level.

Characterization of the Staphylococcus aureus bone sialoprotein-binding protein SdrE and the serine protease EpiP

In an attempt to develop a Staphylococcus aureus vaccine, we have applied reverse vaccinology approach, mainly based on in silico screening and proteomics. By using this approach SdrE, a protein belonging to serine-aspartate repeat protein family was identified as potential vaccine antigen against S. aureus. We have investigated the biochemical properties as well as the vaccine potential of SdrE and its highly conserved CnaBE3 domain. We found the protein SdrE to be resistant to trypsin. Further analysis of the resistant fragment revealed that it comprises a CnaBE3 domain, which also showed partial trypsin resistant behavior. Furthermore, intact mass spectrometry of rCnaBE3 suggested the possible presence of isopeptide bond or some other post-translational modification in the protein.However, this observation needs further investigation. Differential Scanning Fluorimetry study reveals that calcium play role in protein folding and provides stability to SdrE. At the end we have demonstrated that SdrE is immunogenic against clinical strain of S. aureus in murine abscess model. In the second part, I characterized a protein, annotated as epidermin leader peptide processing serine protease (EpiP), as a novel S. aureus vaccine candidate. The crystal structure of the rEpiP was solved at 2.05 Å resolution by x-ray crystallography . The structure showed that rEpiP was cleaved somewhere between residues 95 and 100 and cleavage occurs through an autocatalytic intra-molecular mechanism. In addition, the protein expressed by S. aureus cells also appeared to undergo a similar processing event. To determine if the protein acts as a serine protease, we mutated the catalytic serine 393 residue to alanine, generating rEpiP-S393A and solved its crystal structure at a resolution of 1.95 Å. rEpiP-S393A was impaired in its protease activity, as expected. Protective efficacy of rEpiP and the non-cleaving mutant protein was comparable, implying that the two forms are interchangeable for vaccination purposes.

The oxygen sensors FNR from Escherichia coli and NreABC from Staphylococcus carnosus

Im Laufe der Evolution entwickelte sich eine Reihe von Sauerstoff-Sensorsystemen in Bakterien, um die Genexpression der Sauerstoffverfügbarkeit anzupassen. Der Sauerstoffsensor FNR aus Escherichia coli bindet unter anaeroben Bedingungen ein [4Fe4S]2+ Zentrum. Unter Sauerstoffeinfluß zerfällt aktives [4Fe4S]2+FNR zu inaktivem [2Fe2S]2+FNR und weiter zu ebenfalls inaktivem apoFNR. In der vorliegenden Arbeit wurde der Zustand von FNR in vivo in aeroben und anaeroben Zellen von Escherichia coli aufgeklärt. Durch Alkylierung der Cysteine in FNR und anschließender Analyse im Massenspektrometer konnte gezeigt werden, das FNR in aeroben Zellen hauptsächlich in der apo-Form vorliegt. Nach ca. 6 Minuten war in lebenden E. coli Zellen die Umwandlung von [4Fe4S]2+ FNR zu apoFNR abgeschlossen.rnrnIn dem gram positiven Bakterium Staphylococcus carnosus aktiviert das NreBC System unter anaeroben Wachstumsbedingungen die Gene der Nitratatmung. NreB ist eine cytoplasmatische Sensorhistidinkinase, die ein sauerstofflabiles [4Fe4S]2+ Zentrum über eine PAS-Domäne bindet. Das [4Fe4S]2+ Zentrum wird von vier Cysteinen gebunden. Der Responsregulator NreC steuert nach Aktivierung durch NreB die Transkription der Zielgene. In der vorliegenden Arbeit wurde NreB mit Hilfe von Cysteinmarkierungen in vivo charakterisiert. Durch die Änderung der Cystein-Zugänglichkeit für Thiolreagenzien nach Sauerstoffzugabe konnte eine Halbwertszeit von ca. 3 Minuten für das [4Fe4S]2+ Zentrum in vivo bestimmt werden. In anaeroben Bakterien stellt [4Fe4S]2+NreB die Hauptform von NreB dar, während in aeroben Bakterien hauptsächlich apoNreB vorkommt. Dieses Ergebnis konnte durch Massenspektroskopie bestätigt werden. Weiterhin konnte gezeigt werden das NreA mit NreB und NreC wechselwirkt und Bestandteil des NreABC Drei-Komponentensystems ist. rn

Staphylococcus aureus bones and joints infections: in vivo studies and host immune response

Abstract The aim of this work was the development of a murine model of septic arthrosynovitis and osteomyelitis caused by Staphylococcus aureus, which could mimic the natural disease occurring in humans and which could be suitable for testing preventive and therapeutic interventions. This model could be particularly useful since S. aureus-mediated joints and bones infections are relevant in humans, both in terms of frequency and severity. Our attention focused in tracking bacterial infiltration in joints and bones over time using different microbiological and hystopathological tools, which allowed us to have a complete overview of the situation and to evaluate the immunological actions undertaken by the host to contain or eradicate the bacterial infection. Antibodies and cytokines profiles, as well as recruitment of host immune cells at joints of immunized and infected mice were therefore monitored for a time period that allowed us to study both the acute and the chronic phases of the disease in situ. Finally the Novartis vaccine formulation proposed against S. aureus infections was tested for its capacity to protect immunized mice from joints infections, and the preventive immunization was compared to a standard antibiotic prophylaxis. The availability of powerful tools to study specific bacterial-mediated diseases is nowadays an important requirement for the scientific community to shed light on the complex interactions between host and pathogens and to test treatments for preventing or contrasting infections. We believe that our work significantly contributes to the overall knowledge in the field of S. aureus-dependent pathologies, opening the possibility for further investigations in several fields of study.

Graph algorithms for bioinformatics

Biological data are inherently interconnected: protein sequences are connected to their annotations, the annotations are structured into ontologies, and so on. While protein-protein interactions are already represented by graphs, in this work I am presenting how a graph structure can be used to enrich the annotation of protein sequences thanks to algorithms that analyze the graph topology. We also describe a novel solution to restrict the data generation needed for building such a graph, thanks to constraints on the data and dynamic programming. The proposed algorithm ideally improves the generation time by a factor of 5. The graph representation is then exploited to build a comprehensive database, thanks to the rising technology of graph databases. While graph databases are widely used for other kind of data, from Twitter tweets to recommendation systems, their application to bioinformatics is new. A graph database is proposed, with a structure that can be easily expanded and queried.