Akt fosforila FoxG1 en cèl·lules de glioma

En un treball recent s’ha descrit l’amplificació del gen del factor de transcripció FoxG1, homòleg de l'oncogen víric aviar Qin, en mostres de meduloblastoma, un tipus de tumor cerebral que representa el 20% dels tumors cerebrals infantils malignes (Adesina et al.¸2007). El tumor cerebral més freqüent i agressiu en l’adult és el glioma, especialment la seva forma més maligna: el glioblastoma multiforme (glioma de grau IV segons la classificació de l'OMS). En aquest treball hem estudiat l'expressió proteica del factor de transcripció FoxG1, homòleg de l'oncogen víric aviar Qin, en mostres de glioma. Vam analitzar 15 mostres de glioma, detectant FoxG1 en 9 d’elles, i amb diferents nivells d’expressió. Intentant aprofundir en el coneixement de la funció i la regulació de FoxG1, vam estudiar si FoxG1 podia ser fosforilat. Vam detectar, tant per assaig cinasa com per espectrometria de masses, que FoxG1 és un substracte directe de la cinasa Akt, el principal efector de la via de PI3K (phosphoinositide 3-kinase). En la línia cel•lular de glioblastoma U373MG, vam observar que Akt endogen fosforila FoxG1 en un pèptid situat a l’extrem C-terminal del domini forkhead. Aquesta fosforilació és contrarestada per un inhibidor farmacològic de PI3K. Al contrari del que passa en FoxO on la fosforilació per Akt inhibeix l’activitat de FoxO promovent la seva exportació del nucli, la fosforilació de FoxG1 per Akt no promou cap canvi en la seva localització subcel•lular, i FoxG1 es manté nuclear. Actualment estem estudiant els efectes biològics de la fosforilació de FoxG1 per Akt.

Indexed versus nominal government debt under inflation and price-level targeting

This paper presents a DSGE model in which long run inflation risk matters for social welfare. Optimal indexation of long-term government debt is studied under two monetary policy regimes: inflation targeting (IT) and price-level targeting (PT). Under IT, full indexation is optimal because long run inflation risk is substantial due to base-level drift, making indexed bonds a much better store of value than nominal bonds. Under PT, where long run inflation risk is largely eliminated, optimal indexation is substantially lower because nominal bonds become a better store of value relative to indexed bonds. These results are robust to the PT target horizon, imperfect credibility of PT and model calibration, but the assumption that indexation is lagged is crucial. From a policy perspective, a key finding is that accounting for optimal indexation has important welfare implications for comparisons of IT and PT.

Methods for field detection of resistance to temephos in simuliids. Larval esterase level and topical application of the insecticide to adults

Two practical field methods for indirect detection of simuliid populations resistant to temephos are proposed. The first is based on high esterase activity in resistant larvae and involves adaptations of a filter paper test in which faintly stained spots indicate susceptible populations and strongly stained ones reveal populations resistant to temephos. The second is based on the resistance to the larvicide when adults are topically exposed, and involves the use of diagnostic doses obtained by the comparison between the LD50 for susceptible and resistant populations. The relevance of such methods is discussed in order to help resistance detection in Simulium pertinax Kollar control programmes.

On the real effects of financial pressure: Evidence from euro area firm-level employment during the recent financial crisis.

Using a large panel of unquoted euro-area firms over the period 2003-11, this paper examines the impact of financial pressure on firms’ employment. The analysis finds evidence that financial pressure negatively affects firms’ employment decisions. This effect is stronger during the 2007-2009 financial crisis, especially for firms in the periphery area compared to their counterparts in the core European economies. We also find that impact of financial pressure on employment is more potent for firms classified as financially constrained and operating in periphery economies during the financial crisis.

Decision Errors, Legal Uncertainty and Welfare: a General Treatment

This paper provides a general treatment of the implications for welfare of legal uncertainty. We distinguish legal uncertainty from decision errors: though the former can be influenced by the latter, the latter are neither necessary nor sufficient for the existence of legal uncertainty. We show that an increase in decision errors will always reduce welfare. However, for any given level of decision errors, information structures involving more legal uncertainty can improve welfare. This holds always, even when there is complete legal uncertainty, when sanctions on socially harmful actions are set at their optimal level. This transforms radically one’s perception about the “costs” of legal uncertainty. We also provide general proofs for two results, previously established under restrictive assumptions. The first is that Effects-Based enforcement procedures may welfare dominate Per Se (or object-based) procedures and will always do so when sanctions are optimally set. The second is that optimal sanctions may well be higher under enforcement procedures involving more legal uncertainty.

Persistent bundles over a two dimensional compact set

"Vegeu el resum a l'inici del document del fitxer adjunt."

Effect of training-sample size and classification difficulty on the accuracy of genomic predictors.

Introduction: As part of the MicroArray Quality Control (MAQC)-II project, this analysis examines how the choice of univariate feature-selection methods and classification algorithms may influence the performance of genomic predictors under varying degrees of prediction difficulty represented by three clinically relevant endpoints. Methods: We used gene-expression data from 230 breast cancers (grouped into training and independent validation sets), and we examined 40 predictors (five univariate feature-selection methods combined with eight different classifiers) for each of the three endpoints. Their classification performance was estimated on the training set by using two different resampling methods and compared with the accuracy observed in the independent validation set. Results: A ranking of the three classification problems was obtained, and the performance of 120 models was estimated and assessed on an independent validation set. The bootstrapping estimates were closer to the validation performance than were the cross-validation estimates. The required sample size for each endpoint was estimated, and both gene-level and pathway-level analyses were performed on the obtained models. Conclusions: We showed that genomic predictor accuracy is determined largely by an interplay between sample size and classification difficulty. Variations on univariate feature-selection methods and choice of classification algorithm have only a modest impact on predictor performance, and several statistically equally good predictors can be developed for any given classification problem.

Continuity of set-valued maps revisited in the light of tame geometry

Continuity of set-valued maps is hereby revisited: after recalling some basic concepts of variational analysis and a short description of the State-of-the-Art, we obtain as by-product two Sard type results concerning local minima of scalar and vector valued functions. Our main result though, is inscribed in the framework of tame geometry, stating that a closed-valued semialgebraic set-valued map is almost everywhere continuous (in both topological and measure-theoretic sense). The result –depending on stratification techniques– holds true in a more general setting of o-minimal (or tame) set-valued maps. Some applications are briefly discussed at the end.

Detecting and measuring deprivation in primary care: development, reliability and validity of a self-reported questionnaire: the DiPCare-Q.

OBJECTIVES: Advances in biopsychosocial science have underlined the importance of taking social history and life course perspective into consideration in primary care. For both clinical and research purposes, this study aims to develop and validate a standardised instrument measuring both material and social deprivation at an individual level. METHODS: We identified relevant potential questions regarding deprivation using a systematic review, structured interviews, focus group interviews and a think-aloud approach. Item response theory analysis was then used to reduce the length of the 38-item questionnaire and derive the deprivation in primary care questionnaire (DiPCare-Q) index using data obtained from a random sample of 200 patients during their planned visits to an ambulatory general internal medicine clinic. Patients completed the questionnaire a second time over the phone 3 days later to enable us to assess reliability. Content validity of the DiPCare-Q was then assessed by 17 general practitioners. Psychometric properties and validity of the final instrument were investigated in a second set of patients. The DiPCare-Q was administered to a random sample of 1898 patients attending one of 47 different private primary care practices in western Switzerland along with questions on subjective social status, education, source of income, welfare status and subjective poverty. RESULTS: Deprivation was defined in three distinct dimensions: material (eight items), social (five items) and health deprivation (three items). Item consistency was high in both the derivation (Kuder-Richardson Formula 20 (KR20) =0.827) and the validation set (KR20 =0.778). The DiPCare-Q index was reliable (interclass correlation coefficients=0.847) and was correlated to subjective social status (r(s)=-0.539). CONCLUSION: The DiPCare-Q is a rapid, reliable and validated instrument that may prove useful for measuring both material and social deprivation in primary care.

A multi-purpose grammar generating a multi-scale integrated analysis of Laos

In this study we propose an application of the MuSIASEM approach which is used to provide an integrated analysis of Laos across different scales. With the term “integrated analysis across scales” we mean the generation of a series of packages of quantitative indicators, characterizing the performance of the socioeconomic activities performed in Laos when considering: (i) different hierarchical levels of organization (farming systems described at the level of household, rural villages, regions of Laos, the whole country level); and (ii) different dimensions of analysis (economic dimension, social dimension, ecological dimension, technical dimension). What is relevant in this application is that the information carried out by these different packages of indicators is integrated in a system of accounting which establishes interlinkages across these indicators. This is a essential feature to study sustainability trade-offs and to build more robust scenarios of possible changes. The multi-scale integrated representation presented in this study is based on secondary data (gathered in a three year EU project – SEAtrans and integrated by other available statistical sources) and it is integrated in GIS, when dealing with the spatial representation of Laos. However, even if we use data referring to Laos, the goal of this study is not that of providing useful information about a practical policy issue of Laos, but rather, to illustrate the possibility of using a multipurpose grammar to produce an integrated set of sustainability indicators at three different levels: (i) local; (ii) meso; (iii) macro level. The technical issue addressed is the simultaneous adoption of two multi-level matrices – one referring to a characterization of human activity over a set of different categories, and another referring to a characterization of land uses over the same set of categories. In this way, it becomes possible to explain the characteristics of Laos (an integrated set of indicators defining the performance of the whole country) in relation to the characteristics of the rural Laos and urban Laos. The characteristics of rural Laos, can be explained using the characteristics of three regions defined within Laos (Northern Laos, Central Laos and Southern Laos), which in turn can be defined (using an analogous package of indicators), starting from the characteristics of three main typologies of farming systems found in the regions.

VEGF and TNF up-regulate, NSAID down-regulate SOX18 protein level in HUVEC

Angiogenesis, the process of generating new blood vessels, is essential to embryonic development, organ formation, tissue regeneration and remodeling, reproduction and wound healing. Also, it plays an important role in many pathological conditions, including chronic inflammation and cancer. Angiogenesis is regulated by a complex interplay of growth factors, inflammatory mediators, adhesion molecules, morphogens and guidance molecules. Transcription factor SOX18 is transiently expressed in nascent endothelial cells during embryonic development and postnatal angiogenesis, but little is known about signaling pathways controlling its expression. The aim of this study was to investigate whether pro-angiogenic molecules and pharmacological inhibitors of angiogenesis modulate SOX18 expression in endothelial cells. Therefore, we treated human umbilical vein endothelial cells (HUVEC) with angiogenic factors, extracellular matrix proteins, inflammatory cytokines and nonsteroidal anti-inflammatory drugs (NSAID) and monitored SOX18 expression. We have observed that the angiogenic factor VEGF and the inflammatory cytokine TNF increase, while the NSAID ibuprofen and NS398 decrease the SOX18 protein level. These results for the first time demonstrate that SOX18 expression is modulated by factors and drugs known to positively or negatively regulate angiogenesis. This opens the possibility of pharmacological manipulation of SOX18 gene expression in endothelial cells to stimulate or inhibit angiogenesis.

Performance analysis and tuning in multicore environments

Performance analysis is the task of monitor the behavior of a program execution. The main goal is to find out the possible adjustments that might be done in order improve the performance. To be able to get that improvement it is necessary to find the different causes of overhead. Nowadays we are already in the multicore era, but there is a gap between the level of development of the two main divisions of multicore technology (hardware and software). When we talk about multicore we are also speaking of shared memory systems, on this master thesis we talk about the issues involved on the performance analysis and tuning of applications running specifically in a shared Memory system. We move one step ahead to take the performance analysis to another level by analyzing the applications structure and patterns. We also present some tools specifically addressed to the performance analysis of OpenMP multithread application. At the end we present the results of some experiments performed with a set of OpenMP scientific application.

Análisis y sintonización de aplicaciones paralelas/distribuidas de bioinformática: caso de estudio mpiBLAST

En termes de temps d'execució i ús de dades, les aplicacions paral·leles/distribuïdes poden tenir execucions variables, fins i tot quan s'empra el mateix conjunt de dades d'entrada. Existeixen certs aspectes de rendiment relacionats amb l'entorn que poden afectar dinàmicament el comportament de l'aplicació, tals com: la capacitat de la memòria, latència de la xarxa, el nombre de nodes, l'heterogeneïtat dels nodes, entre d'altres. És important considerar que l'aplicació pot executar-se en diferents configuracions de maquinari i el desenvolupador d'aplicacions no port garantir que els ajustaments de rendiment per a un sistema en particular continuïn essent vàlids per a d'altres configuracions. L'anàlisi dinàmica de les aplicacions ha demostrat ser el millor enfocament per a l'anàlisi del rendiment per dues raons principals. En primer lloc, ofereix una solució molt còmoda des del punt de vista dels desenvolupadors mentre que aquests dissenyen i evaluen les seves aplicacions paral·leles. En segon lloc, perquè s'adapta millor a l'aplicació durant l'execució. Aquest enfocament no requereix la intervenció de desenvolupadors o fins i tot l'accés al codi font de l'aplicació. S'analitza l'aplicació en temps real d'execució i es considra i analitza la recerca dels possibles colls d'ampolla i optimitzacions. Per a optimitzar l'execució de l'aplicació bioinformàtica mpiBLAST, vam analitzar el seu comportament per a identificar els paràmetres que intervenen en el rendiment d'ella, com ara: l'ús de la memòria, l'ús de la xarxa, patrons d'E/S, el sistema de fitxers emprat, l'arquitectura del processador, la grandària de la base de dades biològica, la grandària de la seqüència de consulta, la distribució de les seqüències dintre d'elles, el nombre de fragments de la base de dades i/o la granularitat dels treballs assignats a cada procés. El nostre objectiu és determinar quins d'aquests paràmetres tenen major impacte en el rendiment de les aplicacions i com ajustar-los dinàmicament per a millorar el rendiment de l'aplicació. Analitzant el rendiment de l'aplicació mpiBLAST hem trobat un conjunt de dades que identifiquen cert nivell de serial·lització dintre l'execució. Reconeixent l'impacte de la caracterització de les seqüències dintre de les diferents bases de dades i una relació entre la capacitat dels workers i la granularitat de la càrrega de treball actual, aquestes podrien ser sintonitzades dinàmicament. Altres millores també inclouen optimitzacions relacionades amb el sistema de fitxers paral·lel i la possibilitat d'execució en múltiples multinucli. La grandària de gra de treball està influenciat per factors com el tipus de base de dades, la grandària de la base de dades, i la relació entre grandària de la càrrega de treball i la capacitat dels treballadors.