Organismi acquatici e ambiente: meccanismi biochimici di interazione, risposta e adattamento

The research is focused on the relationship between some Mg2+-dependent ATPase activities of plasma- and mitochondrial membranes from tissues of cultured marine bivalve molluscs and potentially stressful environmental conditions, such as the exposure to contaminants both of natural origin (ammonia nitrogen, the main contaminant of aquaculture plants) and of anthropic source (alkyltins). The two filter-feeding bivalve species selected colonize different habitats: the common mussel Mytilus galloprovincialis binds to hard substrates and the Philippine clam Tapes philippinarum burrows into sea bottom sandy beds. The choice of typical species of coastal waters, extremely suitable for environmental studies due to their features of poor motility, resistance to transport and great filtering efficiency, may constitute a model to evaluate responses to contaminants of membrane-bound enzyme activities involved in key biochemical mechanisms, namely cell ionic regulation and mitochondrial energy production. In vitro and in vitro approaches have been pursued. In vitro assays were carried out by adding the contaminants (NH4Cl and alkyltins) directly to the ATPase reaction media. In vivo experiments were carried out by exposing mussels to various tributyl tin (TBT) concentrations under controlled conditions in aquaria. ATPase activities were determined spectrophotometrically according to the principles of the method of Fiske and Subbarow (1925). The main results obtained are detailed below. In Tapes philippinarum the interaction of NH4 +, the main form of ammonia nitrogen at physiological and seawater pHs, with the Na,K-ATPase and the ouabaininsensitive Na-ATPase was investigated in vitro on gill and mantle microsomal membranes. The proven replacement by NH4 +of K+ in the activation of the Na,KATPase and of Na+ in the activation of the ouabain-insensitive ATPase displayed similar enzyme affinity for the substituted cation. on the one hand this finding may represent one of the possible mechanisms of ammonia toxicity and, on the other, it supports the hypothesis that NH4 + can be transported across the plasma membrane through the two ATPases. In this case both microsomal ATPases may be involved and co-operate, at least under peculiar circumstances, to nitrogen excretion and ammonia detoxification mechanisms in bivalve molluscs. The two ATPase activities stimulated by NH4 + maintained their typical response to the glycoside ouabain, specific inhibitor of the Na,K-ATPase, being the Na++ NH4 +-activated ATPase even more susceptive to the inhibitor and the ouabain-insensitive ATPase activity activated indifferently by Na+ or NH4 + unaffected by up to 10-2 M ouabain. In vitro assays were carried out to evaluate the response of the two Na-dependent ATPases to organotins in clams and mussels and to investigate the interaction of TBT with mussel mitochondrial oligomycin-sensitive Mg-ATPase. Since no literature data were available, the optimal assay conditions and oligomycin sensitivity of mussel mitochondrial MgATPase were determined. In T. philippinarum the ouabain-insensitive Na-ATPase was found to be refractory to TBT both in the gills and in the mantle, whereas the Na,K-ATPase was progressively inhibited by increasing TBT doses; the enzyme inhibition was more pronounced in the gills than in the mantle. In both tissues of M. galloprovincialis the Na,K-ATPase inhibition by alkyltins decreased in the order TBT>DBT(dibutyltin)>>MBT(monobutyltin)=TeET(tetraethyltin) (no effect). Mussel Na-ATPase confirmed its refractorimess to TBT and derivatives both in the gills and in the mantle. These results indicate that the Na,K-ATPase inhibition decreases as the number of alkyl chains bound to tin decreases; however a certain polarity of the organotin molecule is required to yield Na,K-ATPase inhibition, since no enzyme inhibition occurred in the presence of tetraalkyl-substituted derivatives such as TeET . Assays carried out in the presence of the dithioerythritol (DTE) pointed out that the sulphhydrylic agent is capable to prevent the Na,K-ATPase inhibition by TBT, thus suggesting that the inhibitor may link to -SH groups of the enzyme complex.. Finally, the different effect of alkyltins on the two Na-dependent ATPases may constitute a further tool to differentiate between the two enzyme activities. These results add to the wealth of literature data describing different responses of the two enzyme activities to endogenous and exogenous modulators . Mussel mitochondrial Mg-ATPase was also found to be in vitro inhibited by TBT both in the gills and in the mantle: the enzyme inhibition followed non competitive kinetics. The failed effect of DTE pointed out that in this case the interaction of TBT with the enzyme complex is probably different from that with the Na,K-ATPase. The results are consistent with literature data showing that alkyltin may interact with enzyme structures with different mechanisms. Mussel exposure to different TBT sublethal doses in aquaria was carried out for 120 hours. Two samplings (after 24 and 120 hrs) were performed in order to evaluate a short-term response of gill and mantle Na,K-ATPase, ouabain-insensitive Na-ATPase and Mg-ATPase activities. The in vivo response to the contaminants of the enzyme activities under study was shown to be partially different from that pointed out in the in vitro assays. Mitochondrial Mg-ATPase activity appeared to be activated in TBTexposed mussels with respect to control ones, thus confirming the complexity of evaluating in vivo responses of the enzyme activities to contaminants, due to possible interactions of toxicants with molluscan metabolism. Concluding, the whole of data point out that microsomal and mitochondrial ATPase activities of bivalve molluscs are generally responsive to environmental contaminants and suggest that in some cases membrane-bound enzyme activities may represent the molecular target of their toxicity. Since the Na,K-ATPase, the Na-ATPase and the Mg-ATPase activities are poorly studied in marine bivalves, this research may contribute to enlarge knowledge in this quite unexplored field.

Zinco, invecchiamento e sistema immunitario: effetti sull'apoptosi e sulla proliferazione dei linfociti

Immunosenescence is characterized by a complex remodelling of the immune system, mainly driven by lifelong antigenic burden. Cells of the immune system are constantly exposed to a variety of stressors capable of inducing apoptosis, including antigens and reactive oxygen species continuously produced during immune response and metabolic pathways. The overall homeostasis of the immune system is based on the balance between antigenic load, oxidative stress, and apoptotic processes on one side, and the regenerative potential and renewal of the immune system on the other. Zinc is an essential trace element playing a central role on the immune function, being involved in many cellular processes, such as cell death and proliferation, as cofactor of enzymes, nuclear factors and hormones. In this context, the age associated changes in the immune system may be in part due to zinc deficiency, often observed in aged subjects and able to induce impairment of several immune functions. Thus, the aim of this work was to investigate the role of zinc in two essential events for immunity during aging, i.e. apoptosis and cell proliferation. Spontaneous and oxidative stress-induced apoptosis were evaluated by flow cytometry in presence of a physiological concentration of zinc in vitro on peripheral blood mononuclear cells (PBMCs) obtained from healthy subjects of different age: a group of young subjects, a group of old subjects and a group of nonagenarians. In addition, cell cycle phases were analyzed by flow cytometry in PBMCs, obtained from the subjects of the same groups in presence of different concentration of zinc. We also analyzed the influence of zinc in these processes in relation to p53 codon 72 polymorphism, known to affect apoptosis and cell cycle in age-dependent manner. Zinc significantly reduces spontaneous apoptosis in all age-groups; while it significantly increases oxidative stress-induced late apoptosis/necrosis in old and nonagenarians subjects. Some factors involved in the apoptotic pathway were studied and a zinc effect on mitochondrial membrane depolarization, cytochrome C release, caspase-3 activation, PARP cleavage and Bcl-2 expression was found. In conclusion, zinc inhibits spontaneous apoptosis in PBMCs contrasting the harmful effects due to the cellular culture conditions. On the other hand, zinc is able to increase toxicity and induce cell death in PBMCs from aged subjects when cells are exposed to stressing agents that compromise antioxidant cellular systems. Concerning the relationship between the susceptibility to apoptosis and p53 codon 72 genotype, zinc seems to affect apoptosis only in PBMCs from Pro- people suggesting a role of this ion in strengthening the mechanism responsible of the higher propensity of Pro- towards apoptosis. Regarding cell cycle, high doses of zinc could have a role in the progression of cells from G1 to S phase and from S to G2/M phase. These effect seems depend on the age of the donor but seems to be unrelated to p53 codon 72 genotype. In order to investigate the effect of an in vivo zinc supplementation on apoptosis and cell cycle, PBMCs from a group of aged subjects were studied before and after six weeks of oral zinc supplementation. Zinc supplementation reduces spontaneous apoptosis and it strongly reduces oxidative stress-induced apoptosis. On the contrary, no effect of zinc was observed on cell cycle. Therefore, it’s clear that in vitro and in vivo zinc supplementation have different effects on apoptosis and cell cycle in PBMCs from aged subjects. Further experiments and clinical trials are necessary to clarify the real effect of an in vivo zinc supplementation because this preliminary data could encourage the of this element in all that disease with oxidative stress pathogenesis. Moreover, the expression of metallothioneins (MTs), proteins well known for their zinc-binding ability and involved in many cellular processes, i.e. apoptosis, metal ions detoxification, oxidative stress, differentiation, was evaluated in total lymphocytes, in CD4+ and in CD8+ T lymphocytes from young and old healthy subjects in presence of different concentration of zinc in vitro. Literature data reported that during ageing the levels of these proteins increase and concomitantly they lose the ability to release zinc. This fact induce a down-regulation of many biological functions related to zinc, such as metabolism, gene expression and signal transduction. Therefore, these proteins may turn from protective in young-adult age to harmful agents for the immune function in ageing following the concept that several genes/proteins that increase fitness early in life may have negative effects later in life: named “Antagonistic Pleyotropy Theory of Ageing”. Data obtained in this work indicate an higher and faster expression of MTs with lower doses of zinc in total lymphocytes, in CD4+ and in CD8+ T lymphocytes from old subjects supporting the antagonistic pleiotropic role of these proteins.

Caratterizzazione di membrane metalliche e ionomeriche per applicazioni energetiche

The work of this thesis has been focused on the characterization of metallic membranes for the hydrogen purification from steam reforming process and also of perfluorosulphonic acid ionomeric (PFSI) membranes suitable as electrolytes in fuel cell applications. The experimental study of metallic membranes was divided in three sections: synthesis of palladium and silver palladium coatings on porous ceramic support via electroless deposition (ELD), solubility and diffusivity analysis of hydrogen in palladium based alloys (temperature range between 200 and 400 °C up to 12 bar of pressure) and permeation experiments of pure hydrogen and mixtures containing, besides hydrogen, also nitrogen and methane at high temperatures (up to 600 °C) and pressures (up to 10 bar). Sequential deposition of palladium and silver on to porous alumina tubes by ELD technique was carried out using two different procedures: a stirred batch and a continuous flux method. Pure palladium as well as Pd-Ag membranes were produced: the Pd-Ag membranes’ composition is calculated to be close to 77% Pd and 23% Ag by weight which was the target value that correspond to the best performance of the palladium-based alloys. One of the membranes produced showed an infinite selectivity through hydrogen and relatively high permeability value and is suitable for the potential use as a hydrogen separator. The hydrogen sorption in silver palladium alloys was carried out in a gravimetric system on films produced by ELD technique. In the temperature range inspected, up to 400°C, there is still a lack in literature. The experimental data were analyzed with rigorous equations allowing to calculate the enthalpy and entropy values of the Sieverts’ constant; the results were in very good agreement with the extrapolation made with literature data obtained a lower temperature (up to 150 °C). The information obtained in this study would be directly usable in the modeling of hydrogen permeation in Pd-based systems. Pure and mixed gas permeation tests were performed on Pd-based hydrogen selective membranes at operative conditions close to steam-reforming ones. Two membranes (one produced in this work and another produced by NGK Insulators Japan) showed a virtually infinite selectivity and good permeability. Mixture data revealed the existence of non negligible resistances to hydrogen transport in the gas phase. Even if the decrease of the driving force due to polarization concentration phenomena occurs, in principle, in all membrane-based separation systems endowed with high perm-selectivity, an extensive experimental analysis lack, at the moment, in the palladium-based membrane process in literature. Moreover a new procedure has been introduced for the proper comparison of the mass transport resistance in the gas phase and in the membrane. Another object of study was the water vapor sorption and permeation in PFSI membranes with short and long side chains was also studied; moreover the permeation of gases (i.e. He, N2 and O2) in dry and humid conditions was considered. The water vapor sorption showed strong interactions between the hydrophilic groups and the water as revealed from the hysteresis in the sorption-desorption isotherms and thermo gravimetric analysis. The data obtained were used in the modeling of water vapor permeation, that was described as diffusion-reaction of water molecules, and in the humid gases permeation experiments. In the dry gas experiments the permeability and diffusivity was found to increase with temperature and with the equivalent weight (EW) of the membrane. A linear correlation was drawn between the dry gas permeability and the opposite of the equivalent weight of PFSI membranes, based on which the permeability of pure PTFE is retrieved in the limit of high EW. In the other hand O2 ,N2 and He permeability values was found to increase significantly, and in a similar fashion, with water activity. A model that considers the PFSI membrane as a composite matrix with a hydrophilic and a hydrophobic phase was considered allowing to estimate the variation of gas permeability with relative humidity on the basis of the permeability in the dry PFSI membrane and in pure liquid water.

Utilizzo del Rituximab nel trattamento della vasculiti ANCA associate.

Introduzione. Recenti studi hanno dimostrato che il Rituximab (RTX) è un’alternativa sicura ed efficace alla ciclofosfamide nell’indurre la remissione in pazienti con severa vasculite ANCA-associata (AAV) di nuova diagnosi o recidiva. Scopo dello studio era valutare l’efficacia e la sicurezza del RTX nei nostri pazienti con AAV. Metodi. Studio retrospettivo delle caratteristiche cliniche, dei risultati e della tolleranza al RTX dei pazienti con AAV trattati presso il nostro centro da Gennaio 2006 a Dicembre 2011. Inizialmente veniva utilizzato lo schema convenzionale delle 4 somministrazioni settimanali da 375 mg/m2. Dal 2011 sulla base dell’esperienza maturata e dei nuovi dati della letteratura si decideva di non adottare uno schema fisso per le recidive, ma di somministrare una o due dosi secondo la severità della recidiva ed il rischio infettivo. Risultati. Venivano trattati 51 pazienti con AAV, 15/51 (29%) di nuova diagnosi e 36/51 (71%) ad una recidiva. La maggior parte dei pazienti con nuova diagnosi presentavano una micropoliangioite con severo interessamento renale, 5/15 (33%) erano in dialisi dall’esordio. 32/36 (89%) pazienti trattati ad una recidiva presentavano una recidiva granulomatosa di Granulomatosi di Wegener (WG). Tutti ottenevano una remissione, più rapidamente per le manifestazioni vasculitiche. 2/5 pazienti in dialisi dall’esordio recuperavano la funzione renale. Si osservavano 11 recidive in 9 pazienti con GW mediamente dopo 23.1 mesi, tutti ottenevano nuovamente la remissione. Ad un follow-up medio di 20.1 mesi si registravano 4 decessi, 3 (3/15, 20%) nel gruppo di pazienti con nuova diagnosi, uno (1/36, 3%) nel gruppo trattato ad una recidiva. Quattro pazienti sospendevano il RTX per infezioni. Conclusioni. Nella nostra casistica il RTX si è dimostrato efficace e sicuro nell’indurre la remissione in pazienti con severa AAV, sia all’esordio che alla recidiva. I pazienti con WG presentano maggior rischio di recidiva e dovrebbero pertanto essere mantenuti in terapia immunosoppressiva dopo RTX.

Computational modelling of human stem cell-derived cardiomyocytes - Texture descriptors for biological image processing

This thesis investigates two distinct research topics. The main topic (Part I) is the computational modelling of cardiomyocytes derived from human stem cells, both embryonic (hESC-CM) and induced-pluripotent (hiPSC-CM). The aim of this research line lies in developing models of the electrophysiology of hESC-CM and hiPSC-CM in order to integrate the available experimental data and getting in-silico models to be used for studying/making new hypotheses/planning experiments on aspects not fully understood yet, such as the maturation process, the functionality of the Ca2+ hangling or why the hESC-CM/hiPSC-CM action potentials (APs) show some differences with respect to APs from adult cardiomyocytes. Chapter I.1 introduces the main concepts about hESC-CMs/hiPSC-CMs, the cardiac AP, and computational modelling. Chapter I.2 presents the hESC-CM AP model, able to simulate the maturation process through two developmental stages, Early and Late, based on experimental and literature data. Chapter I.3 describes the hiPSC-CM AP model, able to simulate the ventricular-like and atrial-like phenotypes. This model was used to assess which currents are responsible for the differences between the ventricular-like AP and the adult ventricular AP. The secondary topic (Part II) consists in the study of texture descriptors for biological image processing. Chapter II.1 provides an overview on important texture descriptors such as Local Binary Pattern or Local Phase Quantization. Moreover the non-binary coding and the multi-threshold approach are here introduced. Chapter II.2 shows that the non-binary coding and the multi-threshold approach improve the classification performance of cellular/sub-cellular part images, taken from six datasets. Chapter II.3 describes the case study of the classification of indirect immunofluorescence images of HEp2 cells, used for the antinuclear antibody clinical test. Finally the general conclusions are reported.

La neoangiogenesi nel reimpianto autologo di tessuto ovarico in pazienti a rischio di fallimento ovarico precoce: ottimizzazione dei metodi di crioconservazione di corticle ovarica

Introduzione L’efficacia dei chemio/radioterapici ha aumentato notevolmente l’aspettativa di vita delle pazienti oncologiche, tuttavia, questi trattamenti possono compromettere la funzionalità ovarica. La crioconservazione di tessuto ovarico, con il successivo reimpianto, ha lo scopo di preservare la fertilità delle pazienti a rischio di fallimento ovarico precoce. Scopo dello studio Definire la migliore procedura di crioconservazione e reimpianto in grado di ottenere la neovascolarizzazione del tessuto reimpiantato nel minor tempo possibile al fine di diminuire la perdita follicolare causata dall’ischemia durante la procedura. Materiali e metodi Per ciascuna paziente (3) le biopsie ovariche, sono state prelevate laparoscopicamente e crioconservate secondo il protocollo di congelamento lento/scongelamento rapido. Campioni di corticale ovarica sono stati processati per l’analisi istologica, ultrastrutturale, immuistochimica e confocale per valutare la preservazione morfologiaca del tessuto. Le fettine di corticale ovarica sono state scongelate e reimpiantate ortotopicamente (2), nelle ovaia e in due tasche peritoneali, o eterotopicamente (1), in due tasche create nel sottocute sovrapubico. Risultati Le analisi di microscopia hanno mostrato il mantenimento di una discreta morfologia dello stroma, e dei vasi criopreservati e un lieve ma non significativo danneggiamento dei follicoli scongelati. Tutte le pazienti hanno mostrato la ripresa della funzionalità endocrina rispettivamente dopo 2/4 mesi dal reimpianto. Il color-doppler, inoltre ha rivelato un significativo aumento della vascolarizzazione ovarica rispetto alla quasi totale assenza di vascolarizzazione prima del reimpianto, quando le pazienti mostravano una conclamata menopausa. Conclusioni Lo studio ha confermato la ripresa della vascolarizzazione dell’ovaio in seguito a reimpianto avascolare di fettine di corticale, senza l’impiego di fattori esogeni o meccanici aggiuntivi, in tempi concordanti con i dati della letteratura. I risultati sono incoraggianti e l’avanzare degli studi e della ricerca potranno contribuire allo sviluppo di nuove metodologie di reimpianto che possano avere un successo clinico ed una sicurezza superiori a quelle finora ottenute.

Analysis and modelling of the performance of technologies for flue gas treatment in Waste-to-Energy processes

Waste management represents an important issue in our society and Waste-to-Energy incineration plants have been playing a significant role in the last decades, showing an increased importance in Europe. One of the main issues posed by waste combustion is the generation of air contaminants. Particular concern is present about acid gases, mainly hydrogen chloride and sulfur oxides, due to their potential impact on the environment and on human health. Therefore, in the present study the main available technological options for flue gas treatment were analyzed, focusing on dry treatment systems, which are increasingly applied in Municipal Solid Wastes (MSW) incinerators. An operational model was proposed to describe and optimize acid gas removal process. It was applied to an existing MSW incineration plant, where acid gases are neutralized in a two-stage dry treatment system. This process is based on the injection of powdered calcium hydroxide and sodium bicarbonate in reactors followed by fabric filters. HCl and SO2 conversions were expressed as a function of reactants flow rates, calculating model parameters from literature and plant data. The implementation in a software for process simulation allowed the identification of optimal operating conditions, taking into account the reactant feed rates, the amount of solid products and the recycle of the sorbent. Alternative configurations of the reference plant were also assessed. The applicability of the operational model was extended developing also a fundamental approach to the issue. A predictive model was developed, describing mass transfer and kinetic phenomena governing the acid gas neutralization with solid sorbents. The rate controlling steps were identified through the reproduction of literature data, allowing the description of acid gas removal in the case study analyzed. A laboratory device was also designed and started up to assess the required model parameters.

Analyzing the dependence structure of microarray data: a copula–based approach

The main aim of this Ph.D. dissertation is the study of clustering dependent data by means of copula functions with particular emphasis on microarray data. Copula functions are a popular multivariate modeling tool in each field where the multivariate dependence is of great interest and their use in clustering has not been still investigated. The first part of this work contains the review of the literature of clustering methods, copula functions and microarray experiments. The attention focuses on the K–means (Hartigan, 1975; Hartigan and Wong, 1979), the hierarchical (Everitt, 1974) and the model–based (Fraley and Raftery, 1998, 1999, 2000, 2007) clustering techniques because their performance is compared. Then, the probabilistic interpretation of the Sklar’s theorem (Sklar’s, 1959), the estimation methods for copulas like the Inference for Margins (Joe and Xu, 1996) and the Archimedean and Elliptical copula families are presented. In the end, applications of clustering methods and copulas to the genetic and microarray experiments are highlighted. The second part contains the original contribution proposed. A simulation study is performed in order to evaluate the performance of the K–means and the hierarchical bottom–up clustering methods in identifying clusters according to the dependence structure of the data generating process. Different simulations are performed by varying different conditions (e.g., the kind of margins (distinct, overlapping and nested) and the value of the dependence parameter ) and the results are evaluated by means of different measures of performance. In light of the simulation results and of the limits of the two investigated clustering methods, a new clustering algorithm based on copula functions (‘CoClust’ in brief) is proposed. The basic idea, the iterative procedure of the CoClust and the description of the written R functions with their output are given. The CoClust algorithm is tested on simulated data (by varying the number of clusters, the copula models, the dependence parameter value and the degree of overlap of margins) and is compared with the performance of model–based clustering by using different measures of performance, like the percentage of well–identified number of clusters and the not rejection percentage of H0 on . It is shown that the CoClust algorithm allows to overcome all observed limits of the other investigated clustering techniques and is able to identify clusters according to the dependence structure of the data independently of the degree of overlap of margins and the strength of the dependence. The CoClust uses a criterion based on the maximized log–likelihood function of the copula and can virtually account for any possible dependence relationship between observations. Many peculiar characteristics are shown for the CoClust, e.g. its capability of identifying the true number of clusters and the fact that it does not require a starting classification. Finally, the CoClust algorithm is applied to the real microarray data of Hedenfalk et al. (2001) both to the gene expressions observed in three different cancer samples and to the columns (tumor samples) of the whole data matrix.

New approaches to open problems in gene expression microarray data

In the past decade, the advent of efficient genome sequencing tools and high-throughput experimental biotechnology has lead to enormous progress in the life science. Among the most important innovations is the microarray tecnology. It allows to quantify the expression for thousands of genes simultaneously by measurin the hybridization from a tissue of interest to probes on a small glass or plastic slide. The characteristics of these data include a fair amount of random noise, a predictor dimension in the thousand, and a sample noise in the dozens. One of the most exciting areas to which microarray technology has been applied is the challenge of deciphering complex disease such as cancer. In these studies, samples are taken from two or more groups of individuals with heterogeneous phenotypes, pathologies, or clinical outcomes. these samples are hybridized to microarrays in an effort to find a small number of genes which are strongly correlated with the group of individuals. Eventhough today methods to analyse the data are welle developed and close to reach a standard organization (through the effort of preposed International project like Microarray Gene Expression Data -MGED- Society [1]) it is not unfrequant to stumble in a clinician's question that do not have a compelling statistical method that could permit to answer it.The contribution of this dissertation in deciphering disease regards the development of new approaches aiming at handle open problems posed by clinicians in handle specific experimental designs. In Chapter 1 starting from a biological necessary introduction, we revise the microarray tecnologies and all the important steps that involve an experiment from the production of the array, to the quality controls ending with preprocessing steps that will be used into the data analysis in the rest of the dissertation. While in Chapter 2 a critical review of standard analysis methods are provided stressing most of problems that In Chapter 3 is introduced a method to adress the issue of unbalanced design of miacroarray experiments. In microarray experiments, experimental design is a crucial starting-point for obtaining reasonable results. In a two-class problem, an equal or similar number of samples it should be collected between the two classes. However in some cases, e.g. rare pathologies, the approach to be taken is less evident. We propose to address this issue by applying a modified version of SAM [2]. MultiSAM consists in a reiterated application of a SAM analysis, comparing the less populated class (LPC) with 1,000 random samplings of the same size from the more populated class (MPC) A list of the differentially expressed genes is generated for each SAM application. After 1,000 reiterations, each single probe given a "score" ranging from 0 to 1,000 based on its recurrence in the 1,000 lists as differentially expressed. The performance of MultiSAM was compared to the performance of SAM and LIMMA [3] over two simulated data sets via beta and exponential distribution. The results of all three algorithms over low- noise data sets seems acceptable However, on a real unbalanced two-channel data set reagardin Chronic Lymphocitic Leukemia, LIMMA finds no significant probe, SAM finds 23 significantly changed probes but cannot separate the two classes, while MultiSAM finds 122 probes with score >300 and separates the data into two clusters by hierarchical clustering. We also report extra-assay validation in terms of differentially expressed genes Although standard algorithms perform well over low-noise simulated data sets, multi-SAM seems to be the only one able to reveal subtle differences in gene expression profiles on real unbalanced data. In Chapter 4 a method to adress similarities evaluation in a three-class prblem by means of Relevance Vector Machine [4] is described. In fact, looking at microarray data in a prognostic and diagnostic clinical framework, not only differences could have a crucial role. In some cases similarities can give useful and, sometimes even more, important information. The goal, given three classes, could be to establish, with a certain level of confidence, if the third one is similar to the first or the second one. In this work we show that Relevance Vector Machine (RVM) [2] could be a possible solutions to the limitation of standard supervised classification. In fact, RVM offers many advantages compared, for example, with his well-known precursor (Support Vector Machine - SVM [3]). Among these advantages, the estimate of posterior probability of class membership represents a key feature to address the similarity issue. This is a highly important, but often overlooked, option of any practical pattern recognition system. We focused on Tumor-Grade-three-class problem, so we have 67 samples of grade I (G1), 54 samples of grade 3 (G3) and 100 samples of grade 2 (G2). The goal is to find a model able to separate G1 from G3, then evaluate the third class G2 as test-set to obtain the probability for samples of G2 to be member of class G1 or class G3. The analysis showed that breast cancer samples of grade II have a molecular profile more similar to breast cancer samples of grade I. Looking at the literature this result have been guessed, but no measure of significance was gived before.

Distribution and state of fishery resources in the Northern and Central Adriatic Sea using trawl surveys data

The Ecosystem Approach to Fisheries represents the most recent research line in the international context, showing interest both towards the whole community and toward the identification and protection of all the “critical habitats” in which marine resources complete their life cycles. Using data coming from trawl surveys performed in the Northern and Central Adriatic from 1996 to 2010, this study provides the first attempt to appraise the status of the whole demersal community. It took into account not only fishery target species but also by-catch and discharge species by the use of a suite of biological indicators both at population and multi-specific level, allowing to have a global picture of the status of the demersal system. This study underlined the decline of extremely important species for the Adriatic fishery in recent years; adverse impact on catches is expected for these species in the coming years, since also minimum values of recruits recently were recorded. Both the excessive exploitation and environmental factors affected availability of resources. Moreover both distribution and nursery areas of the most important resources were pinpointed by means of geostatistical methods. The geospatial analysis also confirmed the presence of relevant recruitment areas in the North and Central Adriatic for several commercial species, as reported in the literature. The morphological and oceanographic features, the relevant rivers inflow together with the mosaic pattern of biocenoses with different food availability affected the location of the observed relevant nursery areas.

Comparing Different Approaches for Clustering Categorical Data

There are different ways to do cluster analysis of categorical data in the literature and the choice among them is strongly related to the aim of the researcher, if we do not take into account time and economical constraints. Main approaches for clustering are usually distinguished into model-based and distance-based methods: the former assume that objects belonging to the same class are similar in the sense that their observed values come from the same probability distribution, whose parameters are unknown and need to be estimated; the latter evaluate distances among objects by a defined dissimilarity measure and, basing on it, allocate units to the closest group. In clustering, one may be interested in the classification of similar objects into groups, and one may be interested in finding observations that come from the same true homogeneous distribution. But do both of these aims lead to the same clustering? And how good are clustering methods designed to fulfil one of these aims in terms of the other? In order to answer, two approaches, namely a latent class model (mixture of multinomial distributions) and a partition around medoids one, are evaluated and compared by Adjusted Rand Index, Average Silhouette Width and Pearson-Gamma indexes in a fairly wide simulation study. Simulation outcomes are plotted in bi-dimensional graphs via Multidimensional Scaling; size of points is proportional to the number of points that overlap and different colours are used according to the cluster membership.