EXAM-S: an Analysis tool for Multi-Domain Policy Sets

As distributed collaborative applications and architectures are adopting policy based management for tasks such as access control, network security and data privacy, the management and consolidation of a large number of policies is becoming a crucial component of such policy based systems. In large-scale distributed collaborative applications like web services, there is the need of analyzing policy interactions and integrating policies. In this thesis, we propose and implement EXAM-S, a comprehensive environment for policy analysis and management, which can be used to perform a variety of functions such as policy property analyses, policy similarity analysis, policy integration etc. As part of this environment, we have proposed and implemented new techniques for the analysis of policies that rely on a deep study of state of the art techniques. Moreover, we propose an approach for solving heterogeneity problems that usually arise when considering the analysis of policies belonging to different domains. Our work focuses on analysis of access control policies written in the dialect of XACML (Extensible Access Control Markup Language). We consider XACML policies because XACML is a rich language which can represent many policies of interest to real world applications and is gaining widespread adoption in the industry.

B-type cytochromes of the DOMON domain superfamily (Novel redox elements of plant plasma membrane)

The aim of the present study is understanding the properties of a new group of redox proteins having in common a DOMON-type domain with characteristics of cytochromes b. The superfamily of proteins containing a DOMON of this type includes a few protein families. With the aim of better characterizing this new protein family, the present work addresses both a CyDOM protein (a cytochrome b561) and a protein only comprised of DOMON(AIR12), both of plant origin. Apoplastic ascorbate can be regenerated from monodehydroascorbate by a trans-plasma membrane redox system which uses cytosolic ascorbate as a reductant and comprises a high potential cytochrome b. We identified the major plasma membrane (PM) ascorbate-reducible b-type cytochrome of bean (Phaseolus vulgaris) and soybean (Glycine max) hypocotyls as orthologs of Arabidopsis auxin-responsive gene air12. The protein, which is glycosylated and glycosylphosphatidylinositol-anchored to the external side of the PM in vivo, was expressed in Pichia pastoris in a recombinant form, lacking the glycosylphosphatidylinositol-modification signal, and purified from the culture medium. Recombinant AIR12 is a soluble protein predicted to fold into a β-sandwich domain and belonging to the DOMON superfamily. It is shown to be a b-type cytochrome with a symmetrical α-band at 561 nm, to be fully reduced by ascorbate and fully oxidized by monodehydroascorbate. Redox potentiometry suggests that AIR12 binds two high-potential hemes (Em,7 +135 and +236 mV). Phylogenetic analyses reveal that the auxin-responsive genes AIR12 constitute a new family of plasma membrane b-type cytochromes specific to flowering plants. Although AIR12 is one of the few redox proteins of the PM characterized to date, the role of AIR12 in trans-PM electron transfer would imply interaction with other partners which are still to be identified. Another part of the present project was aimed at understanding of a soybean protein comprised of a DOMON fused with a well-defined b561 cytochrome domain (CyDOM). Various bioinformatic approaches show this protein to be composed of an N-terminal DOMON followed by b561 domain. The latter contains five transmembrane helices featuring highly conserved histidines, which might bind haem groups. The CyDOM has been cloned and expressed in the yeast Pichia pastoris, and spectroscopic analyses have been accomplished on solubilized yeast membranes. CyDOM clearly reveal the properties of b-type cytochrome. The results highlight the fact that CyDOM is clearly able to lead an electron flux through the plasmamembrane. Voltage clamp experiments demonstrate that Xenopus laevis oocytes transformed with CyDOM of soybean exhibit negative electrical currents in presence of an external electron acceptor. Analogous investigations were carried out with SDR2, a CyDOM of Drosophila melanogaster which shows an electron transport capacity even higher than plant CyDOM. As quoted above, these data reinforce those obtained in plant CyDOM on the one hand, and on the other hand allow to attribute to SDR2-like proteins the properties assigned to CyDOM. Was expressed in Regenerated tobacco roots, transiently transformed with infected a with chimeral construct GFP: CyDOM (by A. rhizogenes infection) reveals a plasmamembrane localization of CyDOM both in epidermal cells of the elongation zone of roots and in root hairs. In conclusion. Although the data presented here await to be expanded and in part clarified, it is safe to say they open a new perspective about the role of this group of proteins. The biological relevance of the functional and physiological implications of DOMON redox domains seems noteworthy, and it can but increase with future advances in research. Beyond the very finding, however interesting in itself, of DOMON domains as extracellular cytochromes, the present study testifies to the fact that cytochrome proteins containing DOMON domains of the type of “CyDOM” can transfer electrons through membranes and may represent the most important redox component of the plasmamembrane as yet discovered.

OPA1 isoforms and protein domains in the rescue of mitochondrial dysfunctions

Mutations in OPA1 gene have been identified in the majority of patients with Dominant Optic Atrophy (DOA), a blinding disease, and the syndromic form DOA-plus. OPA1 protein is a mitochondrial GTPase involved in various mitochondrial functions, present in humans in eight isoforms, resulting from alternative splicing and proteolytic processing. In this study we have investigated the specific role of each isoform through expression in OPA-/- MEFs, by evaluating their ability to improve the defective mitochondrial phenotypes. All isoforms were able to rescue the energetic efficiency, mitochondrial DNA (mtDNA) content and cristae integrity, but only the presence of both long and short forms could recover the mitochondrial morphology. In order to identify the OPA1 protein domains crucial for its functions, we selected and modified the isoform 1, shown to be one of the most efficient in preserving mitochondrial phenotype, to express three specific OPA1 variants, namely: one with a different N-terminus portion, one unable to generate short form owing to deletion of S1 cleavage site and one with a defective GTPase domain. We demonstrated that the simultaneous presence of the N- and C-terminus of OPA1 was essential for the mtDNA maintenance; a cleavable isoform generating s-forms was necessary to completely rescue the energetic competence and the presence of the C-terminus was sufficient to partially recover the cristae ultrastructure. Lastly, several pathogenic OPA1 mutations were inserted in MEF clones and the biochemical features investigated, to correlate the defective phenotypes with the clinical severity of patients. Our results clearly indicate that this cell model reflects very well the clinical characteristics of the patients, and therefore can be proposed as an useful tool to shed light on the pathomechanism underlying DOA.

Learning Methods and Algorithms for Semantic Text Classification across Multiple Domains

Information is nowadays a key resource: machine learning and data mining techniques have been developed to extract high-level information from great amounts of data. As most data comes in form of unstructured text in natural languages, research on text mining is currently very active and dealing with practical problems. Among these, text categorization deals with the automatic organization of large quantities of documents in priorly defined taxonomies of topic categories, possibly arranged in large hierarchies. In commonly proposed machine learning approaches, classifiers are automatically trained from pre-labeled documents: they can perform very accurate classification, but often require a consistent training set and notable computational effort. Methods for cross-domain text categorization have been proposed, allowing to leverage a set of labeled documents of one domain to classify those of another one. Most methods use advanced statistical techniques, usually involving tuning of parameters. A first contribution presented here is a method based on nearest centroid classification, where profiles of categories are generated from the known domain and then iteratively adapted to the unknown one. Despite being conceptually simple and having easily tuned parameters, this method achieves state-of-the-art accuracy in most benchmark datasets with fast running times. A second, deeper contribution involves the design of a domain-independent model to distinguish the degree and type of relatedness between arbitrary documents and topics, inferred from the different types of semantic relationships between respective representative words, identified by specific search algorithms. The application of this model is tested on both flat and hierarchical text categorization, where it potentially allows the efficient addition of new categories during classification. Results show that classification accuracy still requires improvements, but models generated from one domain are shown to be effectively able to be reused in a different one.