Immune and genetic risk factors in glioma

Despite extensive research, the etiology of adult glioma remains largely unknown. We sought to further explore the role of immune and genetic factors in glioma etiology using data from the Harris County Brain Tumor Study and the first U.S. genome-wide association study of glioma. First, using a case-control study design, we examined the association between adult glioma risk and surrogates of the timing and frequency of common early childhood infections, birth order and sibship size, respectively. We found that each one-unit increase in birth order was associated with a 12% decreased risk of glioma development in adulthood (OR=0.88, 95% CI=0.81-0.96); however, sibship size was not associated with adult glioma risk (OR=0.96, 95% CI=0.91-1.02). Second, we used a multi-strategic approach to explore the relationships between glioma risk, history of asthma/allergies, and 23 functional SNPs in 11 inflammation genes. We found three inflammation gene SNPs to be significantly associated with glioma risk (COX2/PTGS2 rs20417 [OR=1.41]; IL10 rs1800896 [OR=1.57]; and IL13 rs20541 [OR=0.39]). Joint effects analysis of the risk-conferring alleles of these three SNPs revealed a trend of increasing risk with increasing number of adverse alleles among those without asthma/allergies (p<0.0001). Finally, we conducted a case-only study to explore pairwise SNP-SNP interactions in immune-related pathways among a population of 1304 non-Hispanic white glioma cases. After correction for multiple comparisons, we found 279 significant SNP-SNP interactions among polymorphisms of immune-related genes, many of which have not been previously examined. Our results, cumulatively, suggest an important role for immune and genetic factors in glioma etiology and provide several new hypotheses for future studies.^

The eukaryotic cellular stress response: Biochemical and genetic analyses in Saccharomyces cerevisiae

All cells must have the ability to deal with a variety of environmental stresses. Failure to correctly adapt to and/or protect against adverse stress conditions can lead to cell death. In humans, stress response defects have been linked to a number of neurodegenerative diseases and cancer, underscoring the importance of developing a fundamental understanding of the eukaryotic stress response.^ In an effort to characterize cellular response to high temperature stress, I identified and described one member of a novel gene family— RTR1. I show that the RTR1 gene and its protein product genetically and biochemically interact with core subunits of the RNA polymerase II enzyme. Appropriately, loss of RTR1 results in defective transcription from multiple promoters. These data provide evidence that Rtr1, which is essential under stress conditions, acts as a key regulator of transcription.^ In addition to transcriptional regulation, cells deal with many stressors by inducing molecular chaperones. Molecular chaperones are ubiquitous in all living cells and bind unfolded or damaged proteins and catalyze refolding or degradation. Hsp90 is a unique chaperone because it targets specific clients—typically signaling proteins—for maturation. While it has been shown that Sse1, the yeast Hsp110, is a critical regulator of the Hsp90 chaperone cycle, this work describes the molecular basis for that regulation. I show that Sse1 modulates Hsp90 function through regulation of Hsp70 nucleotide exchange. Further, Hsp110-type nucleotide exchange factors (NEFs) appear to have a specific role in modulating Hsp90 function in this manner. Finally, in addition to Hsp110, the eukaryotic cytosol contains two other types of Hsp70 NEF: Snl1 (BAG-domain protein) and Fes1 (HspBP1-like protein). I investigated the cellular roles of these NEFs to better understand the reason that eukaryotic cells contain three distinct protein families that perform the same biochemical function. I show that while cytsolic Hsp70 NEFs have some degree of functional overlap, they also exhibit striking divergence. Taken together, the work presented in this dissertation provides a more detailed understanding of the eukaryotic stress response. ^

Selection bias and the cross-validation of regression models for prediction

Strategies are compared for the development of a linear regression model with stochastic (multivariate normal) regressor variables and the subsequent assessment of its predictive ability. Bias and mean squared error of four estimators of predictive performance are evaluated in simulated samples of 32 population correlation matrices. Models including all of the available predictors are compared with those obtained using selected subsets. The subset selection procedures investigated include two stopping rules, C$\sb{\rm p}$ and S$\sb{\rm p}$, each combined with an 'all possible subsets' or 'forward selection' of variables. The estimators of performance utilized include parametric (MSEP$\sb{\rm m}$) and non-parametric (PRESS) assessments in the entire sample, and two data splitting estimates restricted to a random or balanced (Snee's DUPLEX) 'validation' half sample. The simulations were performed as a designed experiment, with population correlation matrices representing a broad range of data structures.^ The techniques examined for subset selection do not generally result in improved predictions relative to the full model. Approaches using 'forward selection' result in slightly smaller prediction errors and less biased estimators of predictive accuracy than 'all possible subsets' approaches but no differences are detected between the performances of C$\sb{\rm p}$ and S$\sb{\rm p}$. In every case, prediction errors of models obtained by subset selection in either of the half splits exceed those obtained using all predictors and the entire sample.^ Only the random split estimator is conditionally (on $\\beta$) unbiased, however MSEP$\sb{\rm m}$ is unbiased on average and PRESS is nearly so in unselected (fixed form) models. When subset selection techniques are used, MSEP$\sb{\rm m}$ and PRESS always underestimate prediction errors, by as much as 27 percent (on average) in small samples. Despite their bias, the mean squared errors (MSE) of these estimators are at least 30 percent less than that of the unbiased random split estimator. The DUPLEX split estimator suffers from large MSE as well as bias, and seems of little value within the context of stochastic regressor variables.^ To maximize predictive accuracy while retaining a reliable estimate of that accuracy, it is recommended that the entire sample be used for model development, and a leave-one-out statistic (e.g. PRESS) be used for assessment. ^

HEMATOCRIT AND HEMOGLOBIN, ATP AND DPG CONCENTRATIONS IN ANDEAN MAN: VARIABILITY BY SEX, AGE, VILLAGE, ALTITUDE, WEIGHT, SMOKING HABITS AND GENETIC CONSTITUTION

The Departmento de Arica in northern Chile was chosen as the investigation site for a study of the role of certain hematologic and glycolytic variables in the physiological and genetic adaptation to hypoxia.^ The population studied comprised 876 individuals, residents of seven villages at three altitudes: coast (0-500m), sierra (2,500-3,500m) and altiplano (> 4,000m). There was an equal number of males and females ranging in ages from six to 90 years. Although predominantly Aymara, those of mixed or Spanish origin were also examined. The specimens were collected in heparinized vacutainers precipitated with cold trichloroacetic acid (TCA) and immediately frozen to -196(DEGREES)C. Six variables were measured. Three were hematologic: hemoglobin, hematocrit and mean cell hemoglobin concentration. The three others were glycolytic: erythrocyte 2,3-diphosphoglycerate (DPG), adenosine triphosphate (ATP) and the percentage of phosphates (DPG + ATP) in the form of DPG.^ Hemoglobin and hematocrit were measured on site. The DPG and ATP content was assayed in specimens which had been frozen at -196(DEGREES)C and transported to Houston. Structured interviews on site provided information as to lifestyle and family pedigrees.^ The following results were obtained: (1) The actual village, rather than the altitude, of examination accounted for the greatest proportion of the variance in all variables. In the coast, a large difference in levels of ionic lithium in the drinking water exists. The chemical environment of food and drink is postulated to account, in part, for the importance of geographic location in explaining the observed variance. (2) Measurements of individuals from the two extreme altitudes, coast and altiplano, did not exhibit the same relationship with age and body mass. The hematologic variables were significantly related to both age and body build in the coast. The glycolytic variables were significantly related to age and body mass in the altiplano. (3) The environment modified male values more than female values in all variables. The two sexes responded quite differently to age and changes in body mass as well. The question of differing adaptability of the two sexes is discussed. (4) Environmental factors explained a significantly higher proportion of total variability in the altiplano than in the coast for hemoglobin, hematocrit and DPG. Most of the ATP variability at both altitudes is explained by genetic factors. ^

Functional analysis of the Galpha protein, GNA -3, in the development of Neurospora crassa using biochemical and genetic studies

Extracellular signals regulate fungal development and, to sense and respond to these cues, fungi evolved signal transduction pathways similar to those in mammalian systems. In fungi, heterotrimeric G proteins, composed of α, β, and γ subunits, transduce many signals, such as pheromones and nutrients, intracellularly to alter adenylyl cyclase and MAPK cascades activity. ^ Previously, the Gα proteins GNA-1 and GNA-2 were characterized in regulating development in the fungus Neurospora crassa. R. A. Baasiri isolated a third Gα, gna-3, and P. S. Rowley generated Δgna-3 mutants. GNA-3 belongs to a fungal Gα family that regulates cAMP metabolism and virulence. The Δ gna-3 sexual cycle is defective in homozygous crosses, producing inviable spores. Δgna-3 mutants have reduced aerial hyphae formation and derepressed asexual sporulation (conidiation), causing accumulation of asexual spores (conidia). These defects are similar to an adenylyl cyclase mutant, cr-1; cAMP supplementation suppressed Δ gna-3 and cr-1. Inappropriate conidiation and expression of a conidiation gene, con-10, were higher in Δ gna-3 than cr-1 submerged cultures; peptone suppressed conidiation. Adenylyl cyclase activity and expression demonstrated that GNA-3 regulates enzyme levels. ^ A Δgna-1 cr-1 was analyzed with F. D. Ivey to differentiate GNA-1 roles in cAMP-dependent and -independent pathways. Δ gna-1 cr-1 defects were worse than cr-1 and refractory to cAMP, suggesting that GNA-1 is necessary for sensing extracellular CAMP. Submerged culture conidiation was highest in Δgna-1 cr-1, and only high cell density Δgna-1 cultures conidiated, which correlated with con-10 levels. Transcription of a putative heat shock cognate protein was highest in Δgna-1 cr-1. ^ Functional relationships between the three Gαs was analyzed by constructing Δgna-1 Δgna-2 Δ gna-3, Δgna-1 Δgna-3, and Δgna-2 Δgna-3 strains. Δ gna-2 Δgna-3 strains exhibited intensified Δ gna-3 phenotypes; Δgna-1 Δgna-2 Δgna-3 and Δgna-1 Δ gna-3 strains were identical to Δgna-1 cr-1 on plates and were non-responsive to cAMP. The highest levels of conidiation and con-10 were detected in submerged cultures of Δ gna-1 Δgna-2 Δgna-3 and Δgna-1 Δgna-3 mutants, which was partially suppressed by peptone supplementation. Stimulation of adenylyl cyclase is completely deficient in Δgna-1 Δ gna-2 Δgna-3 and Δgna-1 Δ gna-3 strains. Δgna-3 and Δ gna-1 Δgna-3 aerial hyphae and conidiation defects were suppressed by mutation of a PKA regulatory subunit. ^

Lupane triterpenes from the leaves of the tropical rain forest tree Hopea odorata Roxb. and their cytotoxic activities, supplementary information

Chromatographic fractionation of the cytotoxic n-hexane extract of Hopea odorata Roxb. leaves led to the isolation of eight lupane triterpenes, which constitutes the first report of lupane-type triterpenes from this plant source. Furthermore, 3,30-dioxolup-20(29)-en-28-oic acid (6) was isolated for the first time from a natural source. Their structures were determined on the basis of spectroscopic methods, including 2D NMR analysis, and by comparison of their spectral data with literature values. Complete NMR assignments of the 1H and 13C NMR data were achieved for all compounds. Finally, the cytotoxic activities of the isolated compounds against four human cell lines (PC3, MDA-MB-231, HT-29 and HCT116) was also reported.

Competition may explain the fine-scale spatial patterns and genetic structure of two co-occurring plant congeners

1. The spatial distribution of individual plants within a population and the population’s genetic structure are determined by several factors, like dispersal, reproduction mode or biotic interactions. The role of interspecific interactions in shaping the spatial genetic structure of plant populations remains largely unknown. 2. Species with a common evolutionary history are known to interact more closely with each other than unrelated species due to the greater number of traits they share. We hypothesize that plant interactions may shape the fine genetic structure of closely related congeners. 3. We used spatial statistics (georeferenced design) and molecular techniques (ISSR markers) to understand how two closely related congeners, Thymus vulgaris (widespread species) and T. loscosii (narrow endemic) interact at the local scale. Specific cover, number of individuals of both study species and several community attributes were measured in a 10 × 10 m plot. 4. Both species showed similar levels of genetic variation, but differed in their spatial genetic structure. Thymus vulgaris showed spatial aggregation but no spatial genetic structure, while T. loscosii showed spatial genetic structure (positive genetic autocorrelation) at short distances. The spatial pattern of T. vulgaris’ cover showed significant dissociation with that of T. loscosii. The same was true between the spatial patterns of the cover of T. vulgaris and the abundance of T. loscosii and between the abundance of each species. Most importantly, we found a correlation between the genetic structure of T. loscosii and the abundance of T. vulgaris: T. loscosii plants were genetically more similar when they were surrounded by a similar number of T. vulgaris plants. 5. Synthesis. Our results reveal spatially complex genetic structures of both congeners at small spatial scales. The negative association among the spatial patterns of the two species and the genetic structure found for T. loscosii in relation to the abundance of T. vulgaris indicate that competition between the two species may account for the presence of adapted ecotypes of T. loscosii to the abundance of a competing congeneric species. This suggests that the presence and abundance of close congeners can influence the genetic spatial structure of plant species at fine scales.

A low cost and widely applicable methodology of digital imagen analysis of ores for mineral and envirommental engineering

Technological and environmental problems related to ore processing are a serious limitation for sustainable development of mineral resources, particularly for countries / companies rich in ores, but with little access to sophisticated technology, e.g. in Latin America. Digital image analysis (DIA) can provide a simple, unexpensive and broadly applicable methodology to assess these problems, but this methodology has to be carefully defined, to produce reproducible and relevant information.

Phenotypic and genetic sources of variability of cavitation resistance in Pinus canariensis

Phenotypic and genetic sources of variability of cavitation resistance in Pinus canariensis

Clones Identification and Genetic Characterization of Garnacha Grapevine by Means of Different PCR-Derived Marker Systems

This study uses PCR-derived marker systems to investigate the extent and distribution of genetic variability of 53 Garnacha accessions coming from Italy, France and Spain. The samples studied include 28 Italian accessions (named Tocai rosso in Vicenza area; Alicante in Sicily and Elba island; Gamay perugino in Perugia province; Cannonau in Sardinia), 19 Spanish accessions of different types (named Garnacha tinta, Garnacha blanca, Garnacha peluda, Garnacha roja, Garnacha erguida, Garnacha roya) and 6 French accessions (named Grenache and Grenache noir). In order to verify the varietal identity of the samples, analyses based on 14 simple sequence repeat (SSR) loci were performed. The presence of an additional allele at ISV3 locus (151 bp) was found in four Tocai rosso accessions and in a Sardinian Cannonau clone, that are, incidentally, chimeras. In addition to microsatellite analysis, intravarietal variability study was performed using AFLP, SAMPL and M-AFLP molecular markers. AFLPs could discriminate among several Garnacha samples; SAMPLs allowed distinguishing few genotypes on the basis of their geographic origin, whereas M-AFLPs revealed plant-specific markers, differentiating all accessions. Italian samples showed the greatest variability among themselves, especially on the basis of their different provenance, while Spanish samples were the most similar, in spite of their morphological diversity.

Diversity and Genetic structure of the Spanish collection of durum wheat (Triticum turgidum L) landraces

The objectives of this study were to assess diversity and genetic structure of a collection of Spanish durum wheat (Triticum turgidum L) landraces, using SSRs, DArTs and gliadin-markers, and to correlate the distribution of diversity with geographic and climatic features, as well as agro-morphological traits. A high level of diversity was detected in the genotypes analyzed, which were separated into nine populations with a moderate to great genetic divergence among them. The three subspecies taxa, dicoccon, turgidum and durum, present in the collection, largely determined the clustering of the populations. Genotype variation was lower in dicoccon (one major population) and turgidum (two major populations) than in durum (five major populations). Genetic differentiation by the agro-ecological zone of origin was greater in dicoccon and turgidum than in durum. DArT markers revealed two geographic substructures, east-west for dicoccon and northeast-southwest for turgidum. The ssp. durum had a more complex structure, consisting of seven populations with high intra-population variation. DArT markers allowed the detection of subgroups within some populations, with agro-morphological and gliadin differences, and distinct agro-ecological zones of origin. Two different phylogenetic groups were detected; revealing that some durum populations were more related to ssp. turgidum from northern Spain, while others seem to be more related to durum wheats from North Africa

Combining data mining and ontology engineering to enrich ontologies and linked data

In this position paper, we claim that the need for time consuming data preparation and result interpretation tasks in knowledge discovery, as well as for costly expert consultation and consensus building activities required for ontology building can be reduced through exploiting the interplay of data mining and ontology engineering. The aim is to obtain in a semi-automatic way new knowledge from distributed data sources that can be used for inference and reasoning, as well as to guide the extraction of further knowledge from these data sources. The proposed approach is based on the creation of a novel knowledge discovery method relying on the combination, through an iterative ?feedbackloop?, of (a) data mining techniques to make emerge implicit models from data and (b) pattern-based ontology engineering to capture these models in reusable, conceptual and inferable artefacts.

Improvement of compatibility and stability on polyethylene-modified bitumen by use of an aromatic extra as compatibilizer.

Bitumen modification by polyethylene addition usually improves the mechanical properties of the binder and, therefore, the behavior in service of the bituminous mix: thermal susceptibility and rutting can be diminished, whilst the resistance to low temperature cracking may increase. To achieve this improvement it is necessary a good compatibility between the base bitumen and the polyethylene. Low compatibility between bitumen and polyethylene can lead to phase separation: the polymer- asphalt incompatibility translates into a deterioration of ultimate properties. The object of this research project was to determine if these problems can be diminished by using certain compatibilizer agents, e.g. an aromatic extract from the oil refinery. Compatibility and stability of the polyethylene modified bitumen were studied using conventional test methods and dynamic shear reometer (DSR). Blends of bitumen and polyethylene were prepared with neat bitumen (PMB) or bitumen with compatibilizer as component of the binder (PMBC) and then compared. The experimental results show that “colloid instability index”(IC) is a parameter that can be used to control the compatibility between bitumen and polyethylene. From polyethylene point of view, one of the parameters that govern is the “melt flow index” (MFI). Experimental results show that PMBC formulated with low IC bitumen and hi gh MFI lineal polyethylene can be considered as stable binder.