Search results for "PCa"
showing 10 items of 130 documents
Multivariate analysis of historical data (2004-2013) in assessing the possible environmental impact of the Bellolampo landfill (Palermo).
2017
Multivariate analysis was performed on a large data set of groundwater and leachate samples collected during 9 years of operation of the Bellolampo municipal solid waste landfill (located above Palermo, Italy). The aim was to obtain the most likely correlations among the data. The analysis results are presented. Groundwater samples were collected in the period 2004–2013, whereas the leachate analysis refers to the period 2006–2013. For groundwater, statistical data evaluation revealed notable differences among the samples taken from the numerous wells located around the landfill. Characteristic parameters revealed by principal component analysis (PCA) were more deeply investigated, and corr…
The acetylation of spermidine catalyzed by P/CAF regulates its acetyltransferase activity versus histones
2010
Transcriptional regulation in eukaryotes occurs within a chromatin setting and is strongly inhibited by nucleosomal barriers imposed by histone proteins. Among the well-known covalent modifications of chromatin, the reversible acetylation of specific lysine residues of histones, catalyzed by several acetyltransferase and deacetylases, has been linked to many biological processes including transcriptional regulation. Indeed, many transcriptional coactivators possess histone acetyltransferase (HAT) activity (1). Functional interactions between HAT and polyamines have been previously reported. In particular, it has been shown that polyamines facilitate oligomerization of nucleosomal arrays in …
IMPLEMENTAZIONE DI UN ALGORITMO DI CLUSTERING PER L’IDENTIFICAZIONE DELLE PRECIPITAZIONI STRATIFORMI E CONVETTIVE ALLA SCALA D’EVENTO: UN’APPLICAZION…
Two-step principal component analysis (PCA) as a method for separating auditory N1 and N250 elicited from 9-year-old children using a dense electrode…
2008
PCA and QSAR/QSPR used in combination to predict the drugs mechanism of action. An application to the NCI ACAM Database
2008
Feature selection on a dataset of protein families: from exploratory data analysis to statistical variable importance
2016
Proteins are characterized by several typologies of features (structural, geometrical, energy). Most of these features are expected to be similar within a protein family. We are interested to detect which features can identify proteins that belong to a family, as well as to define the boundaries among families. Some features are redundant: they could generate noise in identifying which variables are essential as a fingerprint and, consequently, if they are related or not to a function of a protein family. We defined an original approach to analyze protein features for defining their relationships and peculiarities within protein families. A multistep approach has been mainly performed in R …
Generation of stimulus features for analysis of FMRI during natural auditory experiences
2014
In contrast to block and event-related designs for fMRI experiments, it becomes much more difficult to extract events of interest in the complex continuous stimulus for finding corresponding blood-oxygen-level dependent (BOLD) responses. Recently, in a free music listening fMRI experiment, acoustic features of the naturalistic music stimulus were first extracted, and then principal component analysis (PCA) was applied to select the features of interest acting as the stimulus sequences. For feature generation, kernel PCA has shown its superiority over PCA in various applications, since it can implicitly exploit nonlinear relationship among features and such relationship seems to exist genera…
Combined use of PCA and QSAR/QSPR to predict the drugs mechanism of action. An application to the NCI ACAM Database
2009
During the years the National Cancer Institute (NCI) accumulated an enormous amount of information through the application of a complex protocol of drugs screening involving several tumor cell lines, grouped into panels according to the disease class. The Anti-cancer Agent Mechanism (ACAM) database is a set of 122 compounds with anti-cancer activity and a reasonably well known mechanism of action, for which are available drug screening data that measure their ability to inhibit growth of a panel of 60 human tumor lines, explicitly designed as a training set for neural network and multivariate analysis. The aim of this work is to adapt a methodology (previously developed for the analysis of …
MADoSPRO: a new approach to molecular modelling studies on a series of DNA minor groove binders
2006
The aim of this work was devoted to develop a method to predict Delta G values for a series of minor groove binders. Starting from a matrix of docking dataset for 10 minor groove binders (known and not) to 20 DNA fragments, with various sequences, it was possible to analyze the interaction modes and to calculate the Delta G value for new derivatives through MADoSPRO procedure. The method allowed, through the QSPR analysis, to characterize the type of interactions in such complexes, that was demonstrated to be related to quantum chemical and electrostatic descriptors, in agreement with the information available in literature on the structural requirements of specific minor groove ligands. Mo…
Increased serum miR-193a-5p during non-alcoholic fatty liver disease progression: Diagnostic and mechanistic relevance
2022
Background & Aims Serum microRNA (miRNA) levels are known to change in non-alcoholic fatty liver disease (NAFLD) and may serve as useful biomarkers. This study aimed to profile miRNAs comprehensively at all NAFLD stages. Methods We profiled 2,083 serum miRNAs in a discovery cohort (183 cases with NAFLD representing the complete NAFLD spectrum and 10 population controls). miRNA libraries generated by HTG EdgeSeq were sequenced by Illumina NextSeq. Selected serum miRNAs were profiled in 372 additional cases with NAFLD and 15 population controls by quantitative reverse transcriptase PCR. Results Levels of 275 miRNAs differed between cases and population controls. Fewer differences were seen wi…