Identification of surface protein complexes of Streptococcus pyogenes through protein microarray technology

A systematic characterization of the composition and structure of the bacterial cell-surface proteome and its complexes can provide an invaluable tool for its comprehensive understanding. The knowledge of protein complexes composition and structure could offer new, more effective targets for a more specific and consequently effective immune response against a complex instead of a single protein. Large-scale protein-protein interaction screens are the first step towards the identification of complexes and their attribution to specific pathways. Currently, several methods exist for identifying protein interactions and protein microarrays provide the most appealing alternative to existing techniques for a high throughput screening of protein-protein interactions in vitro under reasonably straightforward conditions. In this study approximately 100 proteins of Group A Streptococcus (GAS) predicted to be secreted or surface exposed by genomic and proteomic approaches were purified in a His-tagged form and used to generate protein microarrays on nitrocellulose-coated slides. To identify protein-protein interactions each purified protein was then labeled with biotin, hybridized to the microarray and interactions were detected with Cy3-labelled streptavidin. Only reciprocal interactions, i. e. binding of the same two interactors irrespective of which of the two partners is in solid-phase or in solution, were taken as bona fide protein-protein interactions. Using this approach, we have identified 20 interactors of one of the potent toxins secreted by GAS and known as superantigens. Several of these interactors belong to the molecular chaperone or protein folding catalyst families and presumably are involved in the secretion and folding of the superantigen. In addition, a very interesting interaction was found between the superantigen and the substrate binding subunit of a well characterized ABC transporter. This finding opens a new perspective on the current understanding of how superantigens are modified by the bacterial cell in order to become major players in causing disease.

Espressione dell'Enzima ad Azione Immunoregolatoria Indoleamina 2,3-Diossigenasi nella Leucemia Mieloide Acuta dell'Adulto: correlazioni Clinico-Biologiche

L’enzima IDO interviene nella via di degradazione del triptofano, essenziale per la vita cellulare; l’iperespressione di IDO favorisce la creazione di un microambiente immunotollerante. Nelle LAM IDO è funzionalmente attivo nelle cellule blastiche e determina l’acquisizione di un fenotipo regolatorio da parte delle cellule T alloreattive; l’espressione della proteina aumenta in modo consensuale con l’evoluzione clinica della patologia. Scopo della Tesi è indagare l’esistenza di una correlazione tra l’iperespressione di IDO da parte delle cellule leucemiche, le caratteristiche di rischio alla diagnosi e l’outcome dei pazienti. Sono stati esaminati 45 pazienti adulti affetti da LAM afferiti all’Istituto di Ematologia di Bologna. I pazienti sono stati stratificati a seconda di: età di insorgenza della leucemia, secondarietà a Mielodisplasia o radio chemioterapia, iperleucocitosi, citogenetica, biologia molecolare (sono state valutate le alterazioni a carico dei geni FLT3 ed NPM). I pazienti sono stati analizzati per l’espressione del gene IDO mediante RT-PCR, seguita da Western Blot, allo scopo di stabilire la presenza di una proteina attiva; successivamente si è proceduto a verificare l’esistenza di una correlazione tra l’espressione di IDO e le caratteristiche di rischio alla diagnosi per identificare una relazione tra l’espressione del gene ed un subset di pazienti a prognosi favorevole o sfavorevole. Dei 45 pazienti adulti affetti da LAM il 28,9% è risultato negativo per l’espressione di IDO, mentre il rimanente 71,1% è risultato positivo ed è stato suddiviso in tre ulteriori categorie, in base ai livelli di espressione. I dati non sembrano al momento suggerire l’esistenza di una correlazione tra l’espressione di IDO e le caratteristiche di rischio alla diagnosi. Nel gruppo di pazienti ad elevata espressione di IDO si riscontra un rate di resistenza alla chemioterapia di induzione più elevato, con una quota di pazienti resistenti pari al 71,4%, contro il 23,1% nel gruppo di pazienti IDO-negativi.

Effetti degli accordi Euro-Mediterrani sul comparto dell'ortofrutta fresca

In 1995, the European Union (EU) Member States and 12 Mediterranean countries launched in Barcelona a liberalization process that aims at establishing a free trade area (to be realized by 2010) and at promoting a sustainable and balanced economic development by the adoption of a new generation of Agreements: the Euro-Mediterranean Agreements (EMA). For the Mediterranean partner countries, the main concern is a better access for their fruit and vegetable exports to the European market. These products represent the main exports of these countries, and the EU is their first trading partner. On the other side, for the EU the main issue is not only the promotion of its products, but also the protection of its fruit and vegetables producers. Moreover, the trade with third countries is the key element of the Common Market Organization of the sector. Fruit and vegetables represent a very sensitive sector since their high seasonality, high perishability, and especially since the production of the Mediterranean countries is often similar to the European Mediterranean’s countries one. In fact, the agreements define preferences at the entrance of the EU market providing limited concessions for each partner, for specific products, limited quantities and calendars. This research tries to analyze the bilateral trade volume for fresh fruit and vegetables in the European and Italian markets in order to assess the effects of Mediterranean liberalization on this sector. Free trade of agricultural products represents a very actual topic in international trade and the Mediterranean countries, recognised as big producers of fruit and vegetables, as big exporters of their crops and actually significantly present on the European market, could be high competitors with the inward production because the outlet could be the same. The goal of this study is to provide some considerations about the competitiveness of mediterranean fruit and vegetables productions after Barcelona Process, in a first step for the European market and then also for the Italian one. The aim is to discuss the influence of the euro-mediterranean agreements on the fruit and vegetables trade between 10 foreign Mediterranean countries (Algeria, Egypt, Israel, Jordan, Libya, Lebanon, Morocco, Tunisia, Syria, and Turkey) and 15 EU countries in the period 1995-2007, by means of a gravity model, which is a widespread methodology in international trade analysis. The basic idea of gravity models is that bilateral trade from one country to another (as the dependent variable) can be explained by a set of factors: - factors that capture the potential of a country to export goods and services; - factors that capture the propensity of a country to imports goods and services; - any other forces that either attract or inhibit bilateral trade. This analysis compares only imports’ flows by Europe and by Italy (in volumes) from Mediterranean countries, since the exports’ flows toward those foreign countries are not significant, especially for Italy. The market of fruit and vegetables appears as a high heterogeneous group so it is very difficult to show a synthesis of the analysis performed and the related results. In fact, this sector includes the so called “poor products” (such as potatoes and legumes), and the “rich product”, such as nuts or exotic fruit, and there are a lot of different goods that arouse a dissimilar consumer demand which directly influence the import requirements. Fruit and vegetables sector includes products with extremely different biological cycles, leading to a very unlike seasonality. Moreover, the Mediterranean area appears as a highly heterogeneous bloc, including countries which differ from the others for economic size, production potential, capability to export and for the relationships with the EU. The econometric estimation includes 68 analyses, 34 of which considering the European import and 34 the Italian import and the products are examined in their aggregated form and in their disaggregated level. The analysis obtains a very high R2 coefficient, which means that the methodology is able to assess the import effects on fruit and vegetables associated to the Association Agreements, preferential tariffs, regional integration, and others information involved in the equation. The empirical analysis suggests that fruits and vegetables trade flows are well explained by some parameters: size of the involved countries (especially GDP and population of the Mediterranean countries); distances; prices of imported products; local production for the aggregated products; preferential expressed tariffs like duty free; sub-regional agreements that enforce the export capability. The euro-mediterranean agreements are significant in some of the performed analysis, confirming the slow and gradual evolution of euro- Mediterranean liberalization. The euro-mediterranean liberalization provides opportunities from one side, and imposes a new important challenge from the other side. For the EU the chance is that fruit and vegetables imported from the mediterranean area represent a support for local supply and a possibility to increase the range of products existing on the market. The challenge regards the competition of foreign products with the local ones since the types of productions are similar and markets coincide, especially in the Italian issue. We need to apply a strategy based not on a trade antagonism, but on the realization of a common plane market with the Mediterranean countries. This goal could be achieved enhancing the industrial cooperation in addition to commercial relationships, and increasing investments’ flows in the Mediterranean countries aiming at transforming those countries from potential competitors to trade partners and creating new commercial policies to export towards extra European countries.

Optoelectronic investigation of defects in hybrid metal halide perovskites

The growing demand for flexible and low-cost electronics has driven research towards the study of novel semiconducting materials to replace traditional semiconductors like silicon and germanium, which are limited by mechanical rigidity and high production cost. Some of the most promising semiconductors in this sense are metal halide perovskites (MHPs), which combine low-cost fabrication and solution processability with exceptional optoelectronic properties like high absorption coefficient, long charge carrier lifetime, and high mobility. These properties, combined with an impressive effort by many research groups around the world, have enabled the fabrication of solar cells with record-breaking efficiencies, and photodetectors with better performance than commercial ones. However, MHP devices are still affected by issues that are hindering their commercialization, such as degradation under humidity and illumination, ion migration, electronic defects, and limited resistance to mechanical stress. The aim of this thesis work is the experimental characterization of these phenomena. We investigated the effects of several factors, such as X-ray irradiation, exposure to environmental gases, and atmosphere during synthesis, on the optoelectronic properties of MHP single crystals. We achieved this by means of optical spectroscopy, electrical measurements, and chemical analyses. We identified the cause of mechanical delamination in MHP/silicon tandem solar cells by atomic force microscopy measurements. We characterized electronic defects and ion migration in MHP single crystals by applying for the first time the photo-induced current transient spectroscopy technique to this class of materials. This research allowed to gain insight into both intrinsic defects, like ion migration and electron trapping, and extrinsic defects, induced by X-ray irradiation, mechanical stress, and exposure to humidity. This research paves the way to the development of methods that heal and passivate these defects, enabling improved performance and stability of MHP optoelectronic devices.

Computational methods for the analysis of protein structure and function

The vast majority of known proteins have not yet been experimentally characterized and little is known about their function. The design and implementation of computational tools can provide insight into the function of proteins based on their sequence, their structure, their evolutionary history and their association with other proteins. Knowledge of the three-dimensional (3D) structure of a protein can lead to a deep understanding of its mode of action and interaction, but currently the structures of <1% of sequences have been experimentally solved. For this reason, it became urgent to develop new methods that are able to computationally extract relevant information from protein sequence and structure. The starting point of my work has been the study of the properties of contacts between protein residues, since they constrain protein folding and characterize different protein structures. Prediction of residue contacts in proteins is an interesting problem whose solution may be useful in protein folding recognition and de novo design. The prediction of these contacts requires the study of the protein inter-residue distances related to the specific type of amino acid pair that are encoded in the so-called contact map. An interesting new way of analyzing those structures came out when network studies were introduced, with pivotal papers demonstrating that protein contact networks also exhibit small-world behavior. In order to highlight constraints for the prediction of protein contact maps and for applications in the field of protein structure prediction and/or reconstruction from experimentally determined contact maps, I studied to which extent the characteristic path length and clustering coefficient of the protein contacts network are values that reveal characteristic features of protein contact maps. Provided that residue contacts are known for a protein sequence, the major features of its 3D structure could be deduced by combining this knowledge with correctly predicted motifs of secondary structure. In the second part of my work I focused on a particular protein structural motif, the coiled-coil, known to mediate a variety of fundamental biological interactions. Coiled-coils are found in a variety of structural forms and in a wide range of proteins including, for example, small units such as leucine zippers that drive the dimerization of many transcription factors or more complex structures such as the family of viral proteins responsible for virus-host membrane fusion. The coiled-coil structural motif is estimated to account for 5-10% of the protein sequences in the various genomes. Given their biological importance, in my work I introduced a Hidden Markov Model (HMM) that exploits the evolutionary information derived from multiple sequence alignments, to predict coiled-coil regions and to discriminate coiled-coil sequences. The results indicate that the new HMM outperforms all the existing programs and can be adopted for the coiled-coil prediction and for large-scale genome annotation. Genome annotation is a key issue in modern computational biology, being the starting point towards the understanding of the complex processes involved in biological networks. The rapid growth in the number of protein sequences and structures available poses new fundamental problems that still deserve an interpretation. Nevertheless, these data are at the basis of the design of new strategies for tackling problems such as the prediction of protein structure and function. Experimental determination of the functions of all these proteins would be a hugely time-consuming and costly task and, in most instances, has not been carried out. As an example, currently, approximately only 20% of annotated proteins in the Homo sapiens genome have been experimentally characterized. A commonly adopted procedure for annotating protein sequences relies on the "inheritance through homology" based on the notion that similar sequences share similar functions and structures. This procedure consists in the assignment of sequences to a specific group of functionally related sequences which had been grouped through clustering techniques. The clustering procedure is based on suitable similarity rules, since predicting protein structure and function from sequence largely depends on the value of sequence identity. However, additional levels of complexity are due to multi-domain proteins, to proteins that share common domains but that do not necessarily share the same function, to the finding that different combinations of shared domains can lead to different biological roles. In the last part of this study I developed and validate a system that contributes to sequence annotation by taking advantage of a validated transfer through inheritance procedure of the molecular functions and of the structural templates. After a cross-genome comparison with the BLAST program, clusters were built on the basis of two stringent constraints on sequence identity and coverage of the alignment. The adopted measure explicity answers to the problem of multi-domain proteins annotation and allows a fine grain division of the whole set of proteomes used, that ensures cluster homogeneity in terms of sequence length. A high level of coverage of structure templates on the length of protein sequences within clusters ensures that multi-domain proteins when present can be templates for sequences of similar length. This annotation procedure includes the possibility of reliably transferring statistically validated functions and structures to sequences considering information available in the present data bases of molecular functions and structures.

Evaluation of glycoconjugate antigens as vaccine candidates against group A Streptococcus and human immunodeficiency virus infections

This PhD thesis discusses the rationale for design and use of synthetic oligosaccharides for the development of glycoconjugate vaccines and the role of physicochemical methods in the characterization of these vaccines. The study concerns two infectious diseases that represent a serious problem for the national healthcare programs: human immunodeficiency virus (HIV) and Group A Streptococcus (GAS) infections. Both pathogens possess distinctive carbohydrate structures that have been described as suitable targets for the vaccine design. The Group A Streptococcus cell membrane polysaccharide (GAS-PS) is an attractive vaccine antigen candidate based on its conserved, constant expression pattern and the ability to confer immunoprotection in a relevant mouse model. Analysis of the immunogenic response within at-risk populations suggests an inverse correlation between high anti-GAS-PS antibody titres and GAS infection cases. Recent studies show that a chemically synthesized core polysaccharide-based antigen may represent an antigenic structural determinant of the large polysaccharide. Based on GAS-PS structural analysis, the study evaluates the potential to exploit a synthetic design approach to GAS vaccine development and compares the efficiency of synthetic antigens with the long isolated GAS polysaccharide. Synthetic GAS-PS structural analogues were specifically designed and generated to explore the impact of antigen length and terminal residue composition. For the HIV-1 glycoantigens, the dense glycan shield on the surface of the envelope protein gp120 was chosen as a target. This shield masks conserved protein epitopes and facilitates virus spread via binding to glycan receptors on susceptible host cells. The broadly neutralizing monoclonal antibody 2G12 binds a cluster of high-mannose oligosaccharides on the gp120 subunit of HIV-1 Env protein. This oligomannose epitope has been a subject to the synthetic vaccine development. The cluster nature of the 2G12 epitope suggested that multivalent antigen presentation was important to develop a carbohydrate based vaccine candidate. I describe the development of neoglycoconjugates displaying clustered HIV-1 related oligomannose carbohydrates and their immunogenic properties.

Structural and functional characterization of Group B Streptococcus class C sortases

In Group B Streptococcus (GBS) three structurally distinct types of pili have been discovered as potential virulence factors and vaccine candidates. The pilus-forming proteins are assembled into high-molecular weight polymers via a transpeptidation mechanism mediated by specific class C sortases. Using a multidisciplinary approach including bioinformatics, structural and biochemical studies and in vivo mutagenesis we performed a broad characterization of GBS sortase C. The high resolution X-ray structure of the enzymes revealed that the active site, located into the β-barrel core of the enzyme, is made of the catalytic triad His157-Cys219-Arg228 and covered by a loop, known as the “lid”. We show that the catalytic triad and the predicted N- and C-terminal trans-membrane regions are required for the enzyme activity. Interestingly, by in vivo complementation mutagenesis studies we found that the deletion of the entire lid loop or mutations in specific lid key residues had no effect on catalytic activity of the enzyme. In addition, kinetic characterizations of recombinant enzymes indicate that the lid mutants can still recognize and cleave the substrate-mimicking peptide at least as well as the wild type protein.

Immunoconiugati contenenti tossine vegetali o siRNA per la deplezione selettiva di cellule leucemiche. Preparazione, citotossicità e studi di mutagenesi sito-specifica.

CD33 is a myeloid cell surface marker absent on normal hematopoietic stem cells and normal tissues but present on leukemic blasts in 90% of adult and paediatric acute myeloid leukaemia (AML) cases. By virtue of its expression pattern and its ability to be rapidly internalized after antibody binding, CD33 has become an attractive target for new immunotherapeutic approaches to treat AML. In this study two immunoconjugates were constructed to contain a humanised single-chain fragment variable antibody (scFv) against CD33 in order to create new antibody-derived therapeutics for AML. The first immunoconjugate was developed to provide targeted delivery of siRNAs as death effectors into leukemic cells. To this purpose, a CD33-specific scFv, modified to include a Cys residue at its C-terminal end (scFvCD33-Cys), was coupled through a disulphide bridge to a nona-d-arginine (9R) peptide carrying a free Cys to the N-terminal. The scFvCD33-9R was able to completely bind siRNAs at a protein to nucleic acid ratio of about 10:1, as confirmed by electrophoretic gel mobility-shift assay. The conjugate was unable to efficiently transduce cytotoxic siRNA (siTox) into the human myeloid cell line U937. We observed slight reductions in cell viability, with a reduction of 25% in comparison to the control group only at high concentration of siTox (300 nM). The second immunoconjugate was constructed by coupling the scFvCD33-Cys to the type 1 ribosome inactivating protein Dianthin 30 (DIA30) through a chemical linking The resulting immunotoxin scFvCD33-DIA30 caused the rapid arrest of protein synthesis, inducing apoptosis and leading ultimately to cell death. In vitro dose-dependent cytotoxicity assays demonstrated that scFvCD33-DIA30 was specifically toxic to CD33-positive cell U937. The concentration needed to reach 50 % of maximum killing efficiency (EC50) was approximately 0.3 nM. The pronounced antigen-restricted cytotoxicity of this novel agent makes it a candidate for further evaluation of its therapeutic potential.

Structural and functional characterization of Group B Streptococcus pilus 2b

Group B Streptococcus (GBS) is a Gram-positive human pathogen representing one of the most common causes of life-threatening bacterial infections such as sepsis and meningitis in neonates. Covalently polymerized pilus-like structures have been discovered in GBS as important virulence factors as well as vaccine candidates. Pili are protein polymers forming long and thin filamentous structures protruding from bacterial cells, mediating adhesion and colonization to host cells. Gram-positive bacteria, including GBS, build pili on their cell surface via a class C sortase-catalyzed transpeptidation mechanism from pilin protein substrates that are the backbone protein forming the pilus shaft and two ancillary proteins. Also the cell-wall anchoring of the pilus polymers made of covalently linked pilin subunits is mediated by a sortase enzyme. GBS expresses three structurally distinct pilus types (type 1, 2a and 2b). Although the mechanisms of assembly and cell wall anchoring of GBS types 1 and 2a pili have been investigated, those of pilus 2b are not understood until now. Pilus 2b is frequently found in ST-17 strains that are mostly associated with meningitis and high mortality rate especially in infants. In this work the assembly mechanism of GBS pilus type 2b has been elucidated by dissecting through genetic, biochemical and structural studies the role of the two pilus-associated sortases. The most significant findings show that pilus 2b assembly appears “non-canonical”, differing significantly from current pilus assembly models in Gram-positive pathogens. Only sortase-C1 is involved in pilin polymerization, while the sortase-C2 does not act as a pilin polymerase, but it is involved in cell-wall pilus anchoring. Our findings provide new insights into pili biogenesis in Gram-positive bacteria. Moreover, the role of this pilus type during host infection has been investigated. By using a mouse model of meningitis we demonstrated that type 2b pilus contributes to pathogenesis of meningitis in vivo.