Jasmonate biochemical pathway.

Plants possess an interrelated family of potent fatty acid-derived regulators-the jasmonates. These compounds, which play roles in both defense and development, are derived from tri-unsaturated fatty acids [alpha-linolenic acid (18:3) or 7Z,10Z,13Z-hexadecatrienoic acid (16:3)]. The lipoxygenase-catalyzed addition of molecular oxygen to alpha-linolenic acid initiates jasmonate synthesis by providing a 13-hydroperoxide substrate for the formation of an unstable allene oxide that is then subject to enzyme-guided cyclization to produce 12-oxo-phytodienoic acid (OPDA). OPDA has several fates, including esterification into plastid lipids or transformation into the 12-carbon co-regulator jasmonic acid (JA). JA, the best-characterized member of the family, regulates both male and female fertility (depending on the plant species) and is an important mediator of defense gene expression. JA is itself a substrate for further diverse modifications. Genetic dissection of the pathway is revealing how the different jasmonates modulate different physiological processes. Each new family member that is discovered provides another key to understanding the fine control of gene expression in immune responses, in the initiation and maintenance of long-distance signal transfer in response to wounding, in the regulation of fertility, and in the turnover, inactivation, and sequestration of jasmonates, among other processes. The Jasmonate Biochemical Pathway provides an overview of the growing jasmonate family, and new members will be included in future versions of the Connections Map.

Simulation methods with extended stability for stiff biochemical kinetics

Background: With increasing computer power, simulating the dynamics of complex systems in chemistry and biology is becoming increasingly routine. The modelling of individual reactions in (bio)chemical systems involves a large number of random events that can be simulated by the stochastic simulation algorithm (SSA). The key quantity is the step size, or waiting time, τ, whose value inversely depends on the size of the propensities of the different channel reactions and which needs to be re-evaluated after every firing event. Such a discrete event simulation may be extremely expensive, in particular for stiff systems where τ can be very short due to the fast kinetics of some of the channel reactions. Several alternative methods have been put forward to increase the integration step size. The so-called τ-leap approach takes a larger step size by allowing all the reactions to fire, from a Poisson or Binomial distribution, within that step. Although the expected value for the different species in the reactive system is maintained with respect to more precise methods, the variance at steady state can suffer from large errors as τ grows. Results: In this paper we extend Poisson τ-leap methods to a general class of Runge-Kutta (RK) τ-leap methods. We show that with the proper selection of the coefficients, the variance of the extended τ-leap can be well-behaved, leading to significantly larger step sizes.Conclusions: The benefit of adapting the extended method to the use of RK frameworks is clear in terms of speed of calculation, as the number of evaluations of the Poisson distribution is still one set per time step, as in the original τ-leap method. The approach paves the way to explore new multiscale methods to simulate (bio)chemical systems.

Stable complexes involving acetylcholinesterase and amyloid-ß-peptide change the biochemical properties of the enzyme and increase the neurotoxicity of Alzheimer's fibrils

Brain acetylcholinesterase (AChE) forms stable complexes with amyloid-beta peptide (Abeta) during its assembly into filaments, in agreement with its colocalization with the Abeta deposits of Alzheimer's brain. The association of the enzyme with nascent Abeta aggregates occurs as early as after 30 min of incubation. Analysis of the catalytic activity of the AChE incorporated into these complexes shows an anomalous behavior reminiscent of the AChE associated with senile plaques, which includes a resistance to low pH, high substrate concentrations, and lower sensitivity to AChE inhibitors. Furthermore, the toxicity of the AChE-amyloid complexes is higher than that of the Abeta aggregates alone. Thus, in addition to its possible role as a heterogeneous nucleator during amyloid formation, AChE, by forming such stable complexes, may increase the neurotoxicity of Abeta fibrils and thus may determine the selective neuronal loss observed in Alzheimer's brain.

Biochemical, morphological and content characterization of synaptobrevin 2-expressing vesicles in astrocytes

Neuron-astrocyte reciprocal communication at synapses has emerged as a novel signalling pathway in brain function. Astrocytes sense the level of synaptic activity and, in turn, influence its efficacy through the regulated release of ''glio- transmitters'' such as glutamate, ATP or D-serine. A calcium- dependent exocytosis is proposed to drive the release of gliotransmitters but its existence is still debated. To shed light onto the mechanisms controlling the storage and the release of gliotransmitters and namely D-serine, we have developed a new method for the immunoisolation of synaptobrevin 2-positive vesicles from rat cortical astrocytes in culture. The purified organelles are clear round shape vesicles of excellent purity as judged by electron microscopy. Immunoblotting analysis revealed that isolated vesicles contain most of the major proteins already described for neuron-derived vesicles. In addition, we have analyzed the content for various amino acids of these vesicles by means of chiral capillary electro- phoresis coupled to laser-induced fluorescence detection and liquid chromatography coupled to mass spectrometry. Post- embedding immunogold labelling of the rat neocortex and hippocampus further revealed the expression of D-serine and glutamate in astrocyte processes contacting excitatory sy- napses. Our results provide significant support for the existence of secretory glial vesicles storing chemical substances like D- serine and glutamate and thus point to the co-release of amino acids by exocytosis in astrocytes.

Health risk behavior pattern among students from Cartagena, Colombia: prevalence and associated variables

The aim of the study was to determine the prevalence and variables associated with the pattern of risky health behavior (PRHB) among adolescent students in Cartagena, Colombia. A cross-sectional study was designed to investigate PRHB in a random cluster sample of students from middle and high schools. The associations were adjusted by logistic regression. A total of 2,625 students participated in this research, with ages from 10 to 20 years, mean=13.8 years (SD=2.0), and 54.3% were women. A total of 332 students reported PRHB (12.7%, 95%CI 11.4–14.0). Age over 15 years (OR=2.19, 95%CI 1.72–2.79), not being heterosexual (OR=1.98, 95%CI 1.36-2.87), poor/mediocre academic performance (OR=1.87, 95%CI 1.47–2.38), family dysfunction (OR=1.78, 95%CI 1.40–2.28) and male gender (OR=1.58, 95%CI 1.24–2.01) were associated with PRHB. One in every eight students presented a PRHB. It is important to pay greater attention to students who are over 15 years of age, male, not heterosexual, with a poor/mediocre academic performance and a dysfunctional family.

Analysis of variables that are not directly observable: influence on decision-making during the research process

The sample dimension, types of variables, format used for measurement, and construction of instruments to collect valid and reliable data must be considered during the research process. In the social and health sciences, and more specifically in nursing, data-collection instruments are usually composed of latent variables or variables that cannot be directly observed. Such facts emphasize the importance of deciding how to measure study variables (using an ordinal scale or a Likert or Likert-type scale). Psychometric scales are examples of instruments that are affected by the type of variables that comprise them, which could cause problems with measurement and statistical analysis (parametric tests versus non-parametric tests). Hence, investigators using these variables must rely on suppositions based on simulation studies or recommendations based on scientific evidence in order to make the best decisions.

Biotic and abiotic variables show little redundancy in explaining tree species distributions

Abiotic factors such as climate and soil determine the species fundamental niche, which is further constrained by biotic interactions such as interspecific competition. To parameterize this realized niche, species distribution models (SDMs) most often relate species occurrence data to abiotic variables, but few SDM studies include biotic predictors to help explain species distributions. Therefore, most predictions of species distributions under future climates assume implicitly that biotic interactions remain constant or exert only minor influence on large-scale spatial distributions, which is also largely expected for species with high competitive ability. We examined the extent to which variance explained by SDMs can be attributed to abiotic or biotic predictors and how this depends on species traits. We fit generalized linear models for 11 common tree species in Switzerland using three different sets of predictor variables: biotic, abiotic, and the combination of both sets. We used variance partitioning to estimate the proportion of the variance explained by biotic and abiotic predictors, jointly and independently. Inclusion of biotic predictors improved the SDMs substantially. The joint contribution of biotic and abiotic predictors to explained deviance was relatively small (similar to 9%) compared to the contribution of each predictor set individually (similar to 20% each), indicating that the additional information on the realized niche brought by adding other species as predictors was largely independent of the abiotic (topo-climatic) predictors. The influence of biotic predictors was relatively high for species preferably growing under low disturbance and low abiotic stress, species with long seed dispersal distances, species with high shade tolerance as juveniles and adults, and species that occur frequently and are dominant across the landscape. The influence of biotic variables on SDM performance indicates that community composition and other local biotic factors or abiotic processes not included in the abiotic predictors strongly influence prediction of species distributions. Improved prediction of species' potential distributions in future climates and communities may assist strategies for sustainable forest management.

Adherence to nutritional recommendations and sociodemographic variables in patients with diabetes mellitus

OBJECTIVETo determine if there is a relationship between adherence to nutritional recommendations and sociodemographic variables in Brazilian patients with type 2 diabetes mellitus.METHODSCross-sectional observational study using a stratified random sample of 423 individuals. The Food Frequency Questionnaire (FFQ) was used, and the Fisher's exact test was applied with 95% confidence interval (p<0.05).RESULTSOf the 423 subjects, 66.7% were women, mean age of 62.4 years (SD = 11.8), 4.3 years of schooling on average (SD = 3.6) and family income of less than two minimum wages. There was association between the female gender and adherence to diet with adequate cholesterol content (OR: 2.03; CI: 1.23; 3.34), between four and more years of education and adherence to fractionation of meals (OR: 1 92 CI: 1.19; 3.10), and income of less than two minimum wages and adherence to diet with adequate cholesterol content (OR: 1.74; CI: 1.03, 2.95).CONCLUSIONAdherence to nutritional recommendations was associated with the female gender, more than four years of education and family income of less than two minimum wages.

Reconciliation of metabolites and biochemical reactions for metabolic networks.

Genome-scale metabolic network reconstructions are now routinely used in the study of metabolic pathways, their evolution and design. The development of such reconstructions involves the integration of information on reactions and metabolites from the scientific literature as well as public databases and existing genome-scale metabolic models. The reconciliation of discrepancies between data from these sources generally requires significant manual curation, which constitutes a major obstacle in efforts to develop and apply genome-scale metabolic network reconstructions. In this work, we discuss some of the major difficulties encountered in the mapping and reconciliation of metabolic resources and review three recent initiatives that aim to accelerate this process, namely BKM-react, MetRxn and MNXref (presented in this article). Each of these resources provides a pre-compiled reconciliation of many of the most commonly used metabolic resources. By reducing the time required for manual curation of metabolite and reaction discrepancies, these resources aim to accelerate the development and application of high-quality genome-scale metabolic network reconstructions and models.

GENETIC AND BIOCHEMICAL ANALYSIS OF THE TESTIS-SPECIFIC ZINC FINGER PROTEIN CTCFL/BORIS

Abstract en FrançaisCTCFL a d'abord été identifié comme un paralogue de la protéine ubiquitaire CTCF en raison de sa forte homologie entre leurs onze « zinc fingers », un domaine de liaison à l'ADN. Parmi ses nombreux rôles, la liaison des zinc fingers de CTCF à la région de contrôle de l'empreinte (ICR) maternelle non-méthylée Igf2/H19, contrôle l'expression empreinte (monoallélique) de H19 et IGF2 dans les cellules somatiques. La méthylation de l'ICR Igf2/H19 paternelle est nécessaire à l'expression empreinte de ces deux gènes. Bien que le mécanisme par lequel l'ICR est méthylé soit mal compris, il est connu que l'établissement de la méthylation se produit pendant le développement des cellules germinales mâles et que les ADN méthyltransférases de novo DNMT3A et DNMT3L sont essentiels. Par conséquent, CTCFL fournit un bon candidat pour un rôle dans la méthylation de l'ICR paternelle Igf2/H19 en raison de son expression restreinte à certains types de cellules où la méthylation de l'ICR a lieu (spermatogonies et spermatocytes) ainsi qu'en raison sa capacité à lier les ICR lgf2/HÎ9 dans ces cellules. Les premiers travaux expérimentaux de cette thèse portent sur le rôle possible des mutations de CTCFL chez les patients atteints du syndrome de Silver-Russell (SRS), où une diminution de la méthylation de l'ICR IGF2/H19 a été observée chez 60% d'entre eux. Admettant que CTCFL pourrait être muté chez ces patients, j'ai examiné les mutations possibles de CTCFL chez 35 d'entre eux par séquençage de l'ADN et analyse du nombre de copies d'exons. N'ayant trouvé aucune mutation chez ces patients, cela suggère que les mutations de CTCFL ne sont pas associées au SRS. Les travaux expérimentaux suivants ont porté sur les modifications post-traductionnelles de CTCFL par la protéine SU MO « small ubiquitin-like modifier » (SUMO). La modification de protéines par SU MO change les interactions avec d'autres molécules (ADN ou protéines). Comme CTCFL régule sans doute l'expression d'un certain nombre de gènes dans le cancer et que plusieurs facteurs de transcription sont régulés par SUMO, j'ai mené des expériences pour déterminer si CTCFL est sumoylé. En effet, j'ai observé que CTCFL est sumoylated in vitro et in vivo et j'ai déterminé les deux résidus d'attachement de SUMO aux lysines 181 et 645. Utilisant les mutants de CTCFL K181R et K645R ne pouvant pas être sumoylated, j'ai évalué les conséquences fonctionnelles de la modification par SUMO. Je n'ai trouvé aucun changement significatif dans la localisation subcellulaire, la demi-vie ou la liaison à l'ADN, mais ai constaté que la sumoylation module à la fois {'activation CTCFL-dépendante et la répression de l'expression génique. Il s'agit de la première modification post-traductionnelle décrite pour CTCFL et les conséquences possibles de cette modification sont discutées pour le cancer et les testicules normaux. Avec cette thèse, j'espère avoir ajouté des résultats importants à l'étude de CTCFL et donné quelques idées pour de futures recherches.AbstractJeremiah Bernier-Latmani, Institute of Pathology, University of Lausanne, CHUVCTCFL was first identified as a paralog of the ubiquitous protein CTCF because of high homology between their respective eleven zinc fingers, a DNA binding domain. Among its many roles, CTCF zinc finger-mediated binding to the unmethylated maternal Igf2/H19 imprinting control region (ICR), controls the imprinted (monoallelic) expression of Igf2 and H19 in somatic cells. Methylation of the paternal Igf2/H19 ICR is necessary for the imprinted expression of the two genes. Although the mechanism by which the ICR is methylated is incompletely understood, it is known that establishment of methylation occurs during male germ cell development and the de novo DNA methyltransferases DNMT3A and DNMT3L are essential. Therefore, CTCFL provided a good candidate to play a role in methylation of the paternal Igf2/H19 ICR because of its restricted expression to cell types where ICR methylation takes place (spermatogonia and spermatocytes) and its ability to bind the Igf2/H19 ICR in these cells. The first experimental work of this thesis investigated the possible role of CTCFL mutations in Silver-Russell syndrome (SRS) patients, where it has been observed that 60% of the patients have reduced methylation of the IGF2/HÎ9 ICR. Reasoning that CTCFL could be mutated in these patients, I screened 35 patients for mutations in CTCFL by DNA sequencing and exon copy number analysis, I did not find any mutations in these patients suggesting that mutations of CTCFL are not associated with SRS. The next experimental work of my thesis focused on posttranslational modification of CTCFL by small ubiquitin-like modifier (SUMO) protein. SUMO modification of proteins changes the interactions with other molecules (DNA or protein). As CTCFL arguably regulates the expression of a number of genes in cancer and many transcription factors are regulated by SUMO, I conducted experiments to assess whether CTCFL is sumoylated. I found that CTCFL is sumoylated in vitro and in vivo and determined the two residues of SUMO attachment to be lysines 181 and 645. Using K181R, K645R mutated CTCFL- which cannot be detected to be sumoylated-1 assessed the functional consequences of SUMO modification. I found no significant changes in subcellular localization, half-life or DNA binding, but found that sumoylation modulates both CTCFL-dependent activation and repression of gene expression. This is the first posttranslational modification described for CTCFL and possible consequences of this modification are discussed in both cancer and normal testis. With this thesis, I hope I have added important findings to the study of CTCFL and provide some ideas for future research.

Fusion of data sets in multivariate linear regression with errors-in-variables

We consider the application of normal theory methods to the estimation and testing of a general type of multivariate regressionmodels with errors--in--variables, in the case where various data setsare merged into a single analysis and the observable variables deviatepossibly from normality. The various samples to be merged can differ on the set of observable variables available. We show that there is a convenient way to parameterize the model so that, despite the possiblenon--normality of the data, normal--theory methods yield correct inferencesfor the parameters of interest and for the goodness--of--fit test. Thetheory described encompasses both the functional and structural modelcases, and can be implemented using standard software for structuralequations models, such as LISREL, EQS, LISCOMP, among others. An illustration with Monte Carlo data is presented.

Adaptive learning in models with lagged variables

In this work I study the stability of the dynamics generated by adaptivelearning processes in intertemporal economies with lagged variables. Iprove that determinacy of the steady state is a necessary condition for the convergence of the learning dynamics and I show that the reciprocal is not true characterizing the economies where convergence holds. In the case of existence of cycles I show that there is not, in general, a relationship between determinacy and convergence of the learning process to the cycle. I also analyze the expectational stability of these equilibria.

Distribución horizontal de la anchoveta peruana con relación a variables ambientales en el período 1986 - 2000

Se analizó la distribución horizontal de la anchoveta Engraulis ringens utilizando sistemas de información geográfica. Los datos fueron obtenidos de los cruceros de evaluación hidroacústica de recursos pelágicos realizados durante los veranos de 1986 al 2000. Los resulitados indican que la distribución horizontal de la anchoveta está asociada a parámetros oceanográficos superficiales del mar, como rangos de temperatura, salinidad y clorofila a; sin embargo,parece ser que el parámetro más importante es la salinidad.

The role of incidental variables of time in mood assessment

Determining what influences mood is important for theories of emotion and research onsubjective well-being. We consider three sets of factors: activities in which people areengaged; individual differences; and incidental variables that capture when mood ismeasured, e.g., time-of-day. These three factors were investigated simultaneously in a studyinvolving 168 part-time students who each responded 30 times in an experience samplingstudy conducted over 10 working days. Respondents assessed mood on a simple bipolarscale from 1 (very negative) to 10 (very positive). Activities had significant effects but,with the possible exception of variability in the expression of mood, no systematicindividual differences were detected. Diurnal effects, similar to those already reported inthe literature, were found as was an overall Friday effect. However, these effects weresmall. Lastly, the weather had little or no influence. We conclude that simple measures ofoverall mood are not greatly affected by incidental variables.