Molecular and cellular analysis of genodermatoses

Summary Skin is the essential interface between our body and its environment; not only does it prevent water loss and protect us from external insults it also plays an essential role in the central nervous system acting as a major sense organ primarily for touch and pain. The main cell type present in skin, keratinocyte, undergoes a differentiation process leading to the formation of this protecting barrier. This work is intended to contribute to the understanding of how keratinocyte differentiates and skin functions. To do this, we studied two genetic skin diseases: Erythrokeratodermia variabilis and Mal de Meleda. Our approach was to examine the expression and localization of proteins implicated in these two pathologies in normal and diseased tissues and to determine the influence of mutant proteins at the molecular and cellular levels. Connexins are major components of gap junctions, channels allowing direct communication between cells. Our laboratory has identified mutations in both connexin 30.3 (Cx30.3) and 31 (Cx31) to be causally involved in erythrokeratodermia variabilis (EKV), an autosomal dominant disorder of keratinization. In the first chapter, we show a new mutation of Cx31, L209P-Cx31, in 3 EKV patients, extending the field of EKV-causing mutations although the mechanism by which connexin mutations lead to the disease is unclear. In the second chapter, we studied the effect of F137L-Cx30.3 on expression, trafficking and localization of cotransfected Cx31 and Cx30.3 in connexin-deficient HeLa cells. The F137 amino acid, highly conserved in connexin family, is oriented towards the channel pore and F137L mutation in either Cx30.3 or Cx31 lead to EKV. As two genes can lead to EKV when mutated, our hypothesis was that Cx31 and Cx30.3 might cooperate at a molecular level. We were able to demonstrate a physical interaction between Cx31 and Cx30.3. The presence of F137L-Cx30.3 disturbed the trafficking of both connexins, less connexins were integrated into gap junctions and thus, the coupling between cell was diminished. Connexins formed in the presence of F137L-Cx30.3 are degraded at their exit from the endoplasmic reticulum. In conclusion, our results indicate that the genetic heterogeneity of EKV is due to mutations in two interacting proteins. F137L-Cx30.3 has a dominant negative effect and affects Cx31, disturbing cellular communication in epidermal cells. Mal de Meleda is an autosomal recessive inflammatory and a keratotic palmoplantar skin disorder due to mutations in SLURP1 (secreted LY6/PLAUR-related protein 1). SLURP1 belongs to the LY6/PLAUR family of proteins and has the particularity of being secreted instead of being GPI-anchored. The high degree of structural similarity between SLURP1 and the three fingers motif of snake neurotoxins and LYNX 1-C suggests that this protein could interact with the neuronal acetylcholine receptors. In the third chapter, we show that SLURP1 potentiates responses of the a7 nicotinic acetylcholine receptor (nAchR) to acetylcholine. These results identify SLURP1 as a secreted epidermal neuromodulator that is likely to be essential for palmoplantar skin. In the fourth chapter, we show that SLURP1 is expressed in the granular layer of the epidermis but is absent from skin biopsies of Mal de Meleda patients. SLURP1 is also present in secretions such as sweat, tears or saliva. An in vitro analysis on two mutant of SLURP-I demonstrates that W15R-SLURP1 is absent in cells while G86R-SLURP1 is expressed and secreted, suggesting that SLURP1 can lead to the disease by either an absent or an abnormal protein. Finally, in the fifth chapter, we analyse the expression and biological properties of other LY6/PLAUR members, clustered around SLURP] on chromosome 8. Their GPI-anchored or secreted status were analysed in vitro. SLURP1, LYNX1-A and -B are secreted while LYPDC2 and LYNX 1-C are GPI anchored. Three of these proteins are expressed in the epidermis and in cultured keratinocytes. These results suggest that these LY6/PLAUR members may have an important role in skin homeostasis. Résumé Résumé La peau est la barrière essentielle entre notre corps et l'environnement, nous protégeant des agressions extérieures, de la déshydratation et assurant aussi un rôle dans le système nerveux central en tant qu'organe du toucher et de la douleur. Le principal type de cellules présent dans la peau est le kératinocyte qui suit un processus de différenciation aboutissant à la formation de cette barrière protectrice. Ce travail est destiné à comprendre la différenciation des kératinocytes et le fonctionnement de la peau. Pour cela, nous avons étudié deux maladies génodermatoses : l'Erthrokeratodermia Variabilis (EKV) et le Mal de Meleda. Nous avons examiné l'expression et la localisation des protéines impliquées dans ces deux pathologies dans des tissus normaux et malades puis déterminé l'influence des protéines mutantes aux niveaux moléculaires et cellulaires. Les connexines (Cx) sont les composants majeurs des jonctions communicantes, canaux permettant la communication directe entre les cellules. Notre laboratoire a identifié des mutations dans les Cx30.3 et Cx31 comme responsables de l'EKV, génodermatose de transmission autosomique dominante. Dans le ler chapitre, nous décrivons une nouvelle mutation de Cx31, L209-Cx31, et contribuons à l'établissement du catalogue des mutations de Cx31 entraînant cette maladie. Cependant, le mécanisme par lequel les mutations de Cx31 et C3x0.3 provoquent l'EKV est inconnu. Dans le 2ème chapitre, nous étudions les effets de la mutation F137L-Cx30.3 sur l'expression, le trafic et la localisation des Cx31 et Cx30.3 transfectées dans des cellules HeLa, déficientes en connexines. Comme deux gènes peuvent causer une EKV quand ils sont mutés, notre hypothèse était que Cx31 et Cx30.3 pourraient coopérer au niveau moléculaire. Nous avons montré l'existence d'une interaction physique entre ces deux connexines. La présence de la mutation F137L-Cx30.3 perturbe le trafic des deux connexines, moins de connexines sont intégrées dans les jonctions communicantes et donc le couplage entre les cellules est diminué. Les connexons formés en présence de cette mutation sont dégradés à leur sortie du réticulum endoplasmique. En conclusion, nos résultats indiquent que l'hétérogénéité génétique de EKV est due à des mutations dans deux protéines qui interagissent. F137L-Cx30.3 a un effet dominant négatif et affecte Cx31, perturbant la communication entre les cellules épidermiques. Le Mal de Meleda est une maladie récessive de la peau palmoplantaire due à des mutations dans SLURP1. SLURP1 appartient à la famille des protéines contenant un domaine LY6/PLAUR et a la particularité d'être sécrétée. La grande homologie de structure existant entre SLURP1, les neurotoxines de serpent et LYNX1-C suggère que la protéine pourrait interagir avec des récepteurs à acétylcholine (Ach). Dans le 3ème chapitre, nous montrons que SLURP1 module la réponse à l'Ach du récepteur nicotinique α7. Ces résultats identifient SLURP1 comme un neuromodulateur épidermique sécrété, probablement essentiel pour la peau palmoplantaire. Dans le 4ème chapitre, nous montrons que SLURP1 est exprimé dans la couche granuleuse de l'épiderme et qu'il est absent des biopsies des patients. SLURP1 a aussi été détecté dans des sécrétions telles que la sueur, les lamies et la salive. Une analyse in vitro de deux mutants de SLURP1 a montré que W15R-SLURP1 est absent des cellules tandis que G86R-SLURP1 est exprimé et sécrété, suggérant qu'une absence ou une anomalie de SLURP1 peuvent causer la maladie. Finalement, dans le 5ème chapitre, nous analysons l'expression et les propriétés biologiques d'autres membres de la famille LY6/PLAUR localisés autour de SLURP1 sur le chromosome 8. Leur statut de protéines sécrétées ou liées à la membrane par une ancre GPI est analysé in vitro. SLURP1, LYNXI-A et -B sont sécrétées alors que LYPDC2 et LYNX1-C sont liés à la membrane. Trois de ces protéines sont exprimées dans l'épiderme et dans des kératinocytes cultivés. Ces résultats suggèrent que la famille LY6/PLAUR pourrait avoir un rôle important dans l'homéostasie de la peau.

Debt and deficit fluctuations and the structure of bond markets

This paper tests for the market environment within which US fiscal policyoperates, that is we test for the incompleteness of the US government bondmarket. We document the stochastic properties of US debt and deficits andthen consider the ability of competing optimal tax models to account forthis behaviour. We show that when a government pursues an optimal taxpolicy and issues a full set of contingent claims, the value of debthas the same or less persistence than other variables in the economyand declines in response to higher deficit shocks. By contrast, ifgovernments only issue one-period risk free bonds (incomplete markets),debt shows more persistence than other variables and it increases inresponse to expenditure shocks. Maintaining the hypothesis of Ramseybehavior, US data conflicts.

Schooling supply and the structure of production: Evidence from US States 1950-1990

We find that over the period 1950-1990, US states absorbed increases in the supplyof schooling due to tighter compulsory schooling and child labor laws mostly throughwithin-industry increases in the schooling intensity of production. Shifts in the industrycomposition towards more schooling-intensive industries played a less important role.To try and understand this finding theoretically, we consider a free trade model withtwo goods/industries, two skill types, and many regions that produce a fixed rangeof differentiated varieties of the same goods. We find that a calibrated version ofthe model can account for shifts in schooling supply being mostly absorbed throughwithin-industry increases in the schooling intensity of production even if the elasticityof substitution between varieties is substantially higher than estimates in the literature.

Multi-scale integration and predictability in resting state brain activity.

The human brain displays heterogeneous organization in both structure and function. Here we develop a method to characterize brain regions and networks in terms of information-theoretic measures. We look at how these measures scale when larger spatial regions as well as larger connectome sub-networks are considered. This framework is applied to human brain fMRI recordings of resting-state activity and DSI-inferred structural connectivity. We find that strong functional coupling across large spatial distances distinguishes functional hubs from unimodal low-level areas, and that this long-range functional coupling correlates with structural long-range efficiency on the connectome. We also find a set of connectome regions that are both internally integrated and coupled to the rest of the brain, and which resemble previously reported resting-state networks. Finally, we argue that information-theoretic measures are useful for characterizing the functional organization of the brain at multiple scales.

A tractable consideration set structure for network revenue management

Models incorporating more realistic models of customer behavior, as customers choosing from an offerset, have recently become popular in assortment optimization and revenue management. The dynamicprogram for these models is intractable and approximated by a deterministic linear program called theCDLP which has an exponential number of columns. When there are products that are being consideredfor purchase by more than one customer segment, CDLP is difficult to solve since column generationis known to be NP-hard. However, recent research indicates that a formulation based on segments withcuts imposing consistency (SDCP+) is tractable and approximates the CDLP value very closely. In thispaper we investigate the structure of the consideration sets that make the two formulations exactly equal.We show that if the segment consideration sets follow a tree structure, CDLP = SDCP+. We give acounterexample to show that cycles can induce a gap between the CDLP and the SDCP+ relaxation.We derive two classes of valid inequalities called flow and synchronization inequalities to further improve(SDCP+), based on cycles in the consideration set structure. We give a numeric study showing theperformance of these cycle-based cuts.

On the term structure of Interbank interest rates: Jump-diffusion processes and option pricing

In this paper we study the dynamic behavior of the term structureof Interbank interest rates and the pricing of options on interest ratesensitive securities. We posit a generalized single factor model withjumps to take into account external influences in the market. Daily datais used to test for jump effects. Qualitative examination of the linkagebetween Monetary Authorities' interventions and jumps are studied. Pricingresults suggests a systematic underpricing in bonds and call options ifthe jumps component is not included. However, the pricing of put optionson bonds presents indeterminacies.

Phylogeographical structure, postglacial recolonization and barriers to gene flow in the distinctive Valais chromosome race of the common shrew (Sorex araneus).

Using one male-inherited and eight biparentally inherited microsatellite markers, we investigate the population genetic structure of the Valais chromosome race of the common shrew (Sorex araneus) in the Central Alps of Europe. Unexpectedly, the Y-chromosome microsatellite suggests nearly complete absence of male gene flow among populations from the St-Bernard and Simplon regions (Switzerland). Autosomal markers also show significant genetic structuring among these two geographical areas. Isolation by distance is significant and possible barriers to gene flow exist in the study area. Two different approaches are used to better understand the geographical patterns and the causes of this structuring. Using a principal component analysis for which testing procedure exists, and partial Mantel tests, we show that the St-Bernard pass does not represent a significant barrier to gene flow although it culminates at 2469 m, close to the highest altitudinal record for this species. Similar results are found for the Simplon pass, indicating that both passes represented potential postglacial recolonization routes into Switzerland from Italian refugia after the last Pleistocene glaciations. In contrast with the weak effect of these mountain passes, the Rhône valley lowlands significantly reduce gene flow in this species. Natural obstacles (the large Rhône river) and unsuitable habitats (dry slopes) are both present in the valley. Moreover, anthropogenic changes to landscape structures are likely to have strongly reduced available habitats for this shrew in the lowlands, thereby promoting genetic differentiation of populations found on opposite sides of the Rhône valley.

Neutralization of Macrophage Migration Inhibitory Factor (MIF) by Fully Human Antibodies Correlates with Their Specificity for the β-Sheet Structure of MIF.

The macrophage migration inhibitory factor (MIF) is a proinflammatory cytokine that recently emerged as an attractive therapeutic target for a variety of diseases. A diverse panel of fully human anti-MIF antibodies was generated by selection from a phage display library and extensively analyzed in vitro. Epitope mapping studies identified antibodies specific for linear as well as structural epitopes. Experimental animal studies revealed that only those antibodies binding epitopes within amino acids 50-68 or 86-102 of the MIF molecule exerted protective effects in models of sepsis or contact hypersensitivity. Within the MIF protein, these two binding regions form a β-sheet structure that includes the MIF oxidoreductase motif. We therefore conclude that this β-sheet structure is a crucial region for MIF activity and a promising target for anti-MIF antibody therapy.

Human capital, the structure of production and growth

Do high levels of human capital foster economic growth by facilitating technology adoption? If so, countries with more human capital should have adopted more rapidly the skilled-labor augmenting technologies becoming available since the 1970 s. High human capital levels should therefore have translated into fast growth in more compared to less human-capital-intensive industries in the 1980 s. Theories of international specialization point to human capital accumulation as another important determinant of growth in human-capital-intensive industries. Using data for a large sample of countries, we find significant positive effects of human capital levels and human capital accumulation on output and employment growth in human-capital-intensive industries.

Structure of bee-flower system in the coastal sand dune of Abaeté, northeastern Brazil

For twelve months (from January to December of 1996) we investigated bee-flower interactions in a sea coastal ecosystem in Bahia, Brazil. Samples were taken three times each month. 3983 individuals belonging to 49 bee species, grouped in 13 morph-functional categories, visited 66 plant species belonging to 39 botanic families. It was observed 310 interactions between bees and plants at species level. The use of floral resources by bees was not homogeneous; most of the plant species received a low number of visitors. No restricted plant-bee species relationship in resource use concerning the subset of analyzed interactions was detected. In Abaeté the generalist relationships predominated.

Further insights on the French WISC-IV factor structure through Bayesian structural equation modeling

The interpretation of the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) is based on a 4-factor model, which is only partially compatible with the mainstream Cattell-Horn-Carroll (CHC) model of intelligence measurement. The structure of cognitive batteries is frequently analyzed via exploratory factor analysis and/or confirmatory factor analysis. With classical confirmatory factor analysis, almost all crossloadings between latent variables and measures are fixed to zero in order to allow the model to be identified. However, inappropriate zero cross-loadings can contribute to poor model fit, distorted factors, and biased factor correlations; most important, they do not necessarily faithfully reflect theory. To deal with these methodological and theoretical limitations, we used a new statistical approach, Bayesian structural equation modeling (BSEM), among a sample of 249 French-speaking Swiss children (8-12 years). With BSEM, zero-fixed cross-loadings between latent variables and measures are replaced by approximate zeros, based on informative, small-variance priors. Results indicated that a direct hierarchical CHC-based model with 5 factors plus a general intelligence factor better represented the structure of the WISC-IV than did the 4-factor structure and the higher order models. Because a direct hierarchical CHC model was more adequate, it was concluded that the general factor should be considered as a breadth rather than a superordinate factor. Because it was possible for us to estimate the influence of each of the latent variables on the 15 subtest scores, BSEM allowed improvement of the understanding of the structure of intelligence tests and the clinical interpretation of the subtest scores.