Festival de Poesía Improvisada en Calabria: Malta

Vídeo grabado en Calabria, Italia

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.

Morphology control in metallocene-catalyzed polyolefin synthesis

The main aim of the work presented in this dissertation was the morphology control in metallocene-catalyzed polyolefin synthesis. This was studied by selective immobilization techniques on a variety of supports such as porous polyurethane particles (Chapter 3), electrospun fibers (Chapter 4 and 5), inorganic-organic hybrid core-shell particles (Chapter 6) and hollow silica particles (Chapter 7). Another aspect of this dissertation was modulating a catalytic activity by controlling a size of boron-based cocatalysts (Chapter 8).

Loss of 15-Hydroxyprostaglandin Dehydrogenase Increases Prostaglandin E2 in Pancreatic Tumors

Prostaglandin E2 (PGE2) is a product of cyclooxygenase (COX) and PGE synthase (PGES) and deactivated by 15-hydroxyprostaglandin dehydrogenase (PGDH). Down-regulation of PGDH contributes to PGE2 accumulation in lung and colon cancers but has not been identified in pancreatic cancer.

N-myc downstream regulated gene-1 expression correlates with reduced pancreatic cancer growth and increased apoptosis in vitro and in vivo

The role of N-myc downstream regulated gene-1 (NDRG1) in cancer has recently gained interest, as potential regulator of cell death and tumor suppressor. Although its normal function in the pancreas is largely unknown, loss of NDRG1 expression is associated with a more aggressive tumor phenotype and poor outcome in pancreatic cancer patients.

Quercetin aglycone is bioavailable in murine pancreas and pancreatic xenografts

Quercetin is a potential chemopreventive and chemotherapeutic agent for pancreatic and other cancers. This study examined the distribution of quercetin in plasma, lung, liver, pancreas, and pancreatic cancer xenografts in a murine in vivo model and the uptake of quercetin in pancreatic cancer MiaPaCa-2 cells in a cellular in vitro model. Mice were randomly allocated to control or 0.2 and 1% quercetin diet groups utilizing the AIN93G-based diet (n = 12 per group) for 6 weeks. In addition, 6 mice from each group were injected weekly with the chemotherapeutic drug gemcitabine (120 mg/kg mouse, ip). MiaPaCa cells were collected from culture medium after cells were exposed to 30 muM quercetin for 0.5, 1, 2, 4, 8, and 24 h. Levels of quercetin and 3-O'-methylquercetin in mouse tissues and MiaPaCa-2 cells were measured by high-pressure liquid chromatography following enzymatic hydrolysis and then extraction. The study showed that quercetin is accumulated in pancreatic cancer cells and is absorbed in the circulating system, tumors, and tissues of pancreas, liver, and lung in vivo. A higher proportion of total quercetin found in tumors and pancreas is aglycones. Gemcitabine cotreatment with quercetin reduced absorption of quercetin in the mouse circulatory system and liver. Results from the study provide important information on the interpretation of the chemotherapeutic efficacy of quercetin.

Bioluminescence imaging of angiogenesis in a murine orthotopic pancreatic cancer model

Angiogenesis is essential for physiological processes as well as for carcinogenesis. New approaches to cancer therapy include targeting angiogenesis. One target is VEGF-A and its receptor VEGFR2. In this study, we sought to investigate pancreatic cancer angiogenesis in a genetically modified VEGFR2-luc-KI mouse.

Epigenetic regulation affects N-myc downstream-regulated gene 1 expression indirectly in pancreatic cancer cells

N-myc downstream-regulated gene 1 (NDRG1), important in tumor growth and metastasis, has recently gained interest as a potential therapeutic target. Loss of NDRG1 expression is generally associated with poor clinical outcome in pancreatic cancer (PaCa) patients. As the NDRG1 gene possesses a large promoter CpG island, we sought to determine whether its repression is epigenetically mediated in PaCa cells.

Growth response to antiretroviral treatment in HIV-infected children: a cohort study from Lilongwe, Malawi

Objective  Malnutrition is common in HIV-infected children in Africa and an indication for antiretroviral treatment (ART). We examined anthropometric status and response to ART in children treated at a large public-sector clinic in Malawi. Methods  All children aged <15 years who started ART between January 2001 and December 2006 were included and followed until March 2008. Weight and height were measured at regular intervals from 1 year before to 2 years after the start of ART. Sex- and age-standardized z-scores were calculated for weight-for-age (WAZ) and height-for-age (HAZ). Predictors of growth were identified in multivariable mixed-effect models. Results  A total of 497 children started ART and were followed for 972 person-years. Median age (interquartile range; IQR) was 8 years (4–11 years). Most children were underweight (52% of children), stunted (69%), in advanced clinical stages (94% in WHO stages 3 or 4) and had severe immunodeficiency (77%). After starting ART, median (IQR) WAZ and HAZ increased from −2.1 (−2.7 to −1.3) and −2.6 (−3.6 to −1.8) to −1.4 (−2.1 to −0.8) and −1.8 (−2.4 to −1.1) at 24 months, respectively (P < 0.001). In multivariable models, baseline WAZ and HAZ scores were the most important determinants of growth trajectories on ART. Conclusions  Despite a sustained growth response to ART among children remaining on therapy, normal values were not reached. Interventions leading to earlier HIV diagnosis and initiation of treatment could improve growth response.

Play!

Play is a scholarly topic with a long and convoluted history. This faculty colloquium will make a few obligatory nods to the literature, but then focus instead on how play might be related to the Bucknell educational mission. The talk will be structured more in the spirit of a “This I Believe” essay. It is meant to challenge the Bucknell community to consider play as an important component of a healthy environment. Some questions we will visit: Why as we mature do we view play as the opposite of work? How can play be used to practice skills and explore our world-view? What is the connection between play and creative habits? How can we pair play with reflection to stimulate deep learning? How might we alter our risk/reward structures to encourage productive play?