Classification of human astrocytic gliomas on the basis of gene expression: a correlated group of genes with angiogenic activity emerges as a strong predictor of subtypes.

The development of targeted treatment strategies adapted to individual patients requires identification of the different tumor classes according to their biology and prognosis. We focus here on the molecular aspects underlying these differences, in terms of sets of genes that control pathogenesis of the different subtypes of astrocytic glioma. By performing cDNA-array analysis of 53 patient biopsies, comprising low-grade astrocytoma, secondary glioblastoma (respective recurrent high-grade tumors), and newly diagnosed primary glioblastoma, we demonstrate that human gliomas can be differentiated according to their gene expression. We found that low-grade astrocytoma have the most specific and similar expression profiles, whereas primary glioblastoma exhibit much larger variation between tumors. Secondary glioblastoma display features of both other groups. We identified several sets of genes with relatively highly correlated expression within groups that: (a). can be associated with specific biological functions; and (b). effectively differentiate tumor class. One prominent gene cluster discriminating primary versus nonprimary glioblastoma comprises mostly genes involved in angiogenesis, including VEGF fms-related tyrosine kinase 1 but also IGFBP2, that has not yet been directly linked to angiogenesis. In situ hybridization demonstrating coexpression of IGFBP2 and VEGF in pseudopalisading cells surrounding tumor necrosis provided further evidence for a possible involvement of IGFBP2 in angiogenesis. The separating groups of genes were found by the unsupervised coupled two-way clustering method, and their classification power was validated by a supervised construction of a nearly perfect glioma classifier.

Levodopa in the treatment of Parkinson's disease: an old drug still going strong.

After more than 40 years of clinical use, levodopa (LD) remains the gold standard of symptomatic efficacy in the drug treatment of Parkinson's disease (PD). Compared with other available dopaminergic therapies, dopamine replacement with LD is associated with the greatest improvement in motor function. Long-term treatment with LD is, however, often complicated by the development of various types of motor response oscillations over the day, as well as drug-induced dyskinesias. Motor fluctuations can be improved by the addition of drugs such as entacapone or monoamine oxidase inhibitors, which extend the half-life of levodopa or dopamine, respectively. However, dyskinesia control still represents a major challenge. As a result, many neurologists have become cautious when prescribing therapy with LD. This review summarizes the available evidence regarding the use of LD to treat PD and will also address the issue of LD delivery as a critical factor for the drug's propensity to induce motor complications.

CHARACTERISATION OF ARABIDOPSIS THALIANA PERMEABLE CUTICLE MUTANTS SHOWING A STRONG RESISTANCE TO BOTRYTIS CINEREA

La cuticule des plantes, composée de cutine, un polyester lipidique complexe et de cires cuticulaires, couvre l'épiderme de la plupart des parties aériennes des plantes. Elle est constituée d'une barrière hydrophobique primaire qui minimise les pertes en eau et en soluté et protège l'organisme de différents stress environnementaux tels que les rayons UV, la dessiccation et l'infection par des pathogènes. Elle est aussi impliquée dans la délimitation des organes durant le développement. La cutine est un polyester qui, dans la plupart des espèces végétales, est principalement composé d'acides gras ω-hydroxylés composé de 16 à 18 carbones. Cependant, la cutine des feuilles d'Arabidopsis a une composition différente et est principalement constituée d'acides dicarboxyliques à 16-18 carbones. Les cires sont présentes dans le polyester de la cutine ou le recouvrent. Chez Arabidopsis, un nombre de mutants, tel que 1er, bdg, hth, att1, wbc11, et des plantes transgéniques avec différents changement dans la structure de la cuticule dans les feuilles et la tige, ont récemment été décrits et servent d'outils pour étudier la relation entre la structure et la fonction de la cuticule.7 mutants d'Arabidopsis ont été isolés par une méthode de coloration qui permet de détecter une augmentation dans la perméabilité cuticulaire. Ces mutants ont été appelés pec pour permeable cuticle.Pour la première partie de mon projet, j'ai principalement travaillé avec pec9/bre1 (permeable cuticle 9/botrytis resistance 1). PEC9/BRE1 a été identifié comme étant LACS2 (LONG CHAIN ACYL-CoA SYNTHETASE 2). Dans ce mutant, la cuticule n'est pas visible sous microscopie électronique et la quantité en acides gras omega- hydroxylés et en leurs dérivés est fortement réduite. Ces altérations conduisent à une plus grande perméabilité de la cuticule qui est mise en évidence par une plus grande sensibilité à la sécheresse et aux xénobiotiques et une coloration plus rapide par bleu de toluidine. Le mutant Iacs2 démontre aussi une grande capacité de résistance à l'infection du champignon nécrotrophique B. cinerea. Cette résistance est due à l'extrusion sur les feuilles d'un composé antifongique durant l'infection. Ce travail a été publié dans EMBO journal (Bessire et al., 2007, EMBO Journal).Mon second projet était principalement concentré sur pec1, un autre mutant isolé par le premier crible. La caractérisation de pec1 a révélé des phénotypes similaires à ceux de Iacs2, mais à chaque fois dans des proportions moindres : sensibilité accrue à la sécheresse et aux herbicides, plus grande perméabilité au bleu de toluidine et au calcofluor white, altération de la structure cuticulaire et résistance à B. cinerea à travers la même activité antifongique. PEC1 a été identifié comme étant AtPDR4. Ce gène code pour un transporteur ABC de la famille PDR ("Pleiotropic Drugs Resistance") qui sont des transporteurs ayants un large spectre de substrats. Le mutant se différencie de Iacs2, en cela que la composition en acides gras de la cuticule n'est pas autant altérée. C'est principalement le dihydroxypalmitate des fleurs dont la quantité est réduite. L'expression du gène marqué avec une GFP sous le contrôle du promoteur endogène a permis de localiser le transporteur au niveau de la membrane plasmique des cellules de l'épiderme, de manière polaire. En effet, la protéine est principalement dirigée vers l'extérieure de la plante, là où se trouve la cuticule, suggérant une implication d'AtPDR4 dans le transport de composants de la cuticule. Ce travail est actuellement soumis à Plant Cell.Une étude phylogénétique a aussi montré qu'AtPDR4 était très proche d'OsPDR6 du riz. Le mutant du riz a d'ailleurs montré des phénotypes de nanisme et de perméabilité similaire au mutant chez Arabidopsis.AbstractThe cuticle, consisting principally of cutin and cuticular waxes, is a hydrophobic layer of lipidic nature, which covers all aerial parts of plants and protects them from different abiotic and biotic stresses. Recently, the research in this area has given us a better understanding of the structure and the formation of the cuticle. The Arabidopsis mutants permeable cuticle 1 (peel) and botrytis resistance 1 (brel) were identified in two screens to identify permeable cuticles. The screens used the fluorescent dye calcofluor to measure permeability and also resistance to the fungal pathogen Botrytis. These mutants have highly permeable cuticle characteristics such as higher water loss, intake of chemicals through the cuticle, higher resistance to Botrytis cinerea infection, and organ fusion.BRE1 was cloned and found to be LACS2, a gene previously identified which is important in the formation and biosynthetic pathway of the cuticle. In brel, the amount of the major component of cutin in Arabidopsis leaves and stems, dicarboxylic acids, is five times lower than in the wild type. Moreover, the permeability of the cuticle allows the release of antifungal compounds at the leaf surface that inhibits the growth of two necrotrophic fungi: Botrytis cinerea and Sclerotinia sclerotiorum.PEC1 was identified as AtPDR4, a gene that codes for a plasma membrane transporter of the Pleiotropic Drug Resistance family, a sub-family of the ABC- transporters. AtPDR4 is strongly expressed in the epidermis of expanding tissues. In the epidermis it is located in a polar manner on the external plasma membrane, facing the cuticle. Analysis of the monomer composition of the cutin reveals that in this mutant the amount of hydroxy-acids and dihydroxy-palmitate is 2-3 times lower in flowers, in which organ these cutin monomers are the major components. Thus AtPDR4 is thought to function as a putative cutin monomer transporter.

Deregulated MHC class II transactivator expression leads to a strong Th2 bias in CD4+ T lymphocytes.

The MHC class II (MHC-II) transactivator (CIITA) is the master transcriptional regulator of genes involved in MHC-II-restricted Ag presentation. Fine tuning of CIITA gene expression determines the cell type-specific expression of MHC-II genes. This regulation is achieved by the selective usage of multiple CIITA promoters. It has recently been suggested that CIITA also contributes to Th cell differentiation by suppressing IL-4 expression in Th1 cells. In this study, we show that endogenous CIITA is expressed at low levels in activated mouse T cells. Importantly CIITA is not regulated differentially in murine and human Th1 and Th2 cells. Ectopic expression of a CIITA transgene in multiple mouse cell types including T cells, does not interfere with normal development of CD4(+) T cells. However, upon TCR activation the CIITA transgenic CD4(+) T cells preferentially differentiate into IL-4-secreting Th2-type cells. These results imply that CIITA is not a direct Th1-specific repressor of the IL-4 gene and that tight control over the expression of CIITA and MHC-II is required to maintain the normal balance between Th1 and Th2 responses.

The robustness of the weak selection approximation for the evolution of altruism against strong selection.

The weak selection approximation of population genetics has made possible the analysis of social evolution under a considerable variety of biological scenarios. Despite its extensive usage, the accuracy of weak selection in predicting the emergence of altruism under limited dispersal when selection intensity increases remains unclear. Here, we derive the condition for the spread of an altruistic mutant in the infinite island model of dispersal under a Moran reproductive process and arbitrary strength of selection. The simplicity of the model allows us to compare weak and strong selection regimes analytically. Our results demonstrate that the weak selection approximation is robust to moderate increases in selection intensity and therefore provides a good approximation to understand the invasion of altruism in spatially structured population. In particular, we find that the weak selection approximation is excellent even if selection is very strong, when either migration is much stronger than selection or when patches are large. Importantly, we emphasize that the weak selection approximation provides the ideal condition for the invasion of altruism, and increasing selection intensity will impede the emergence of altruism. We discuss that this should also hold for more complicated life cycles and for culturally transmitted altruism. Using the weak selection approximation is therefore unlikely to miss out on any demographic scenario that lead to the evolution of altruism under limited dispersal.

Strong reciprocity or strong ferocity? A population genetic view of the evolution of altruistic punishment.

Strong reciprocity, defined as a predisposition to help others and to punish those that are not helping, has been proposed as a potent force leading to the evolution of cooperation and altruism. However, the conditions under which strong reciprocity might be favored are not clear. Here we investigate the selective pressure on strong reciprocity by letting both limited dispersal (i.e., spatial structure) and recombination between helping and punishment jointly determine the evolutionary dynamics of strong reciprocity. Our analytical model suggests that when helping and punishment are perfectly linked traits (no recombination occurring between them), strong reciprocity can spread even when the initial frequency of strong reciprocators is close to 0 in the population (i.e., a rare mutant can invade). By contrast, our results indicate that when recombination can occur between helping and punishment (i.e., both traits coevolve) and is stronger than selection, punishment is likely to invade a population of defectors only when it gives a direct fitness benefit to the actor. Overall, our results delineate the conditions under which strong reciprocity is selected for in a spatially structured population and highlight that the forces behind its evolution involves kinship (be it genetic or cultural).

The allometry of non-employment. What can compositional data analysis tell us about labour market performance across the UK's regions?

The low levels of unemployment recorded in the UK in recent years are widely cited asevidence of the country’s improved economic performance, and the apparent convergence of unemployment rates across the country’s regions used to suggest that the longstanding divide in living standards between the relatively prosperous ‘south’ and the more depressed ‘north’ has been substantially narrowed. Dissenters from theseconclusions have drawn attention to the greatly increased extent of non-employment(around a quarter of the UK’s working age population are not in employment) and themarked regional dimension in its distribution across the country. Amongst these dissenters it is generally agreed that non-employment is concentrated amongst oldermales previously employed in the now very much smaller ‘heavy’ industries (e.g. coal,steel, shipbuilding).This paper uses the tools of compositiona l data analysis to provide a much richer picture of non-employment and one which challenges the conventional analysis wisdom about UK labour market performance as well as the dissenters view of the nature of theproblem. It is shown that, associated with the striking ‘north/south’ divide in nonemployment rates, there is a statistically significant relationship between the size of the non-employment rate and the composition of non-employment. Specifically, it is shown that the share of unemployment in non-employment is negatively correlated with the overall non-employment rate: in regions where the non-employment rate is high the share of unemployment is relatively low. So the unemployment rate is not a very reliable indicator of regional disparities in labour market performance. Even more importantly from a policy viewpoint, a significant positive relationship is found between the size ofthe non-employment rate and the share of those not employed through reason of sicknessor disability and it seems (contrary to the dissenters) that this connection is just as strong for women as it is for men

Peroxisome proliferator-activated receptor beta/delta exerts a strong protection from ischemic acute renal failure.

Ischemic acute renal failure is characterized by damages to the proximal straight tubule in the outer medulla. Lesions include loss of polarity, shedding into the tubule lumen, and eventually necrotic or apoptotic death of epithelial cells. It was recently shown that peroxisome proliferator-activated receptor beta/delta (PPARbeta/delta) increases keratinocyte survival after an inflammatory reaction. Therefore, whether PPARbeta/delta could contribute also to the control of tubular epithelium death after renal ischemia/reperfusion was tested. It was found that PPARbeta/delta+/- and PPARbeta/delta-/- mutant mice exhibited much greater kidney dysfunction and injury than wild-type counterparts after a 30-min renal ischemia followed by a 36-h reperfusion. Conversely, wild-type mice that were given the specific PPARbeta/delta ligand L-165041 before renal ischemia were completely protected against renal dysfunction, as indicated by the lack of rise in serum creatinine and fractional excretion of Na+. This protective effect was accompanied by a significant reduction in medullary necrosis, apoptosis, and inflammation. On the basis of in vitro studies, PPARbeta/delta ligands seem to exert their role by activating the antiapoptotic Akt signaling pathway and, unexpectedly, by increasing the spreading of tubular epithelial cells, thus limiting potentially their shedding and anoikis. These results point to PPARbeta/delta as a remarkable new target for preconditioning strategies.

An axiomatic characterization of the strong constrained egalitarian solution

In this paper we axiomatize the strong constrained egalitarian solution (Dutta and Ray, 1991) over the class of weak superadditive games using constrained egalitarianism, order-consistency, and converse order-consistency. JEL classification: C71, C78. Keywords: Cooperative TU-game, strong constrained egalitarian solution, axiomatization.

More than cheap talk? Euro-Mediterranean cooperation on human rights and democracy

Malgrat els esforços de la UE en la promoció de la democràcia i un compromís comú per la democràcia i els drets humans al EMP, no hi ha signes de convergència cap al model liberal democràtic propugnat per la UE. No obstant això, l'abast i la intensitat de la cooperació multilateral, transnacional i bilateral han augmentat constantment en tota la regió des de mitjans de 1990. La cooperació en el camp de la promoció de la democràcia es caracteritza per la forta dinàmica de normativa sectorial, i la diferenciació geogràfica, però està clarament situada en un marc regional i altament estandarditzat. Si bé la convergència política o la política sembla poc probable en el curt o mitjà termini, democràcia i drets humans estan fermament establerts en una agenda regional comú

Two-sided learning in new keynesian models: dynamics, (lack of) convergence and the value of information

This paper investigates the role of learning by private agents and the central bank (two-sided learning) in a New Keynesian framework in which both sides of the economy have asymmetric and imperfect knowledge about the true data generating process. We assume that all agents employ the data that they observe (which may be distinct for different sets of agents) to form beliefs about unknown aspects of the true model of the economy, use their beliefs to decide on actions, and revise these beliefs through a statistical learning algorithm as new information becomes available. We study the short-run dynamics of our model and derive its policy recommendations, particularly with respect to central bank communications. We demonstrate that two-sided learning can generate substantial increases in volatility and persistence, and alter the behavior of the variables in the model in a signifficant way. Our simulations do not converge to a symmetric rational expectations equilibrium and we highlight one source that invalidates the convergence results of Marcet and Sargent (1989). Finally, we identify a novel aspect of central bank communication in models of learning: communication can be harmful if the central bank's model is substantially mis-specified