Computational problems in perfect phylogeny haplotyping: Typing without calling the allele

A haplotype is an m-long binary vector. The XOR-genotype of two haplotypes is the m-vector of their coordinate-wise XOR. We study the following problem: Given a set of XOR-genotypes, reconstruct their haplotypes so that the set of resulting haplotypes can be mapped onto a perfect phylogeny (PP) tree. The question is motivated by studying population evolution in human genetics and is a variant of the PP haplotyping problem that has received intensive attention recently. Unlike the latter problem, in which the input is '' full '' genotypes, here, we assume less informative input and so may be more economical to obtain experimentally. Building on ideas of Gusfield, we show how to solve the problem in polynomial time by a reduction to the graph realization problem. The actual haplotypes are not uniquely determined by the tree they map onto and the tree itself may or may not be unique. We show that tree uniqueness implies uniquely determined haplotypes, up to inherent degrees of freedom, and give a sufficient condition for the uniqueness. To actually determine the haplotypes given the tree, additional information is necessary. We show that two or three full genotypes suffice to reconstruct all the haplotypes and present a linear algorithm for identifying those genotypes.

Quantitative integration of high-resolution hydrogeophysical data through Monte-Carlo-type conditional simulations

Geophysical techniques can help to bridge the inherent gap with regard to spatial resolution and the range of coverage that plagues classical hydrological methods. This has lead to the emergence of the new and rapidly growing field of hydrogeophysics. Given the differing sensitivities of various geophysical techniques to hydrologically relevant parameters and their inherent trade-off between resolution and range the fundamental usefulness of multi-method hydrogeophysical surveys for reducing uncertainties in data analysis and interpretation is widely accepted. A major challenge arising from such endeavors is the quantitative integration of the resulting vast and diverse database in order to obtain a unified model of the probed subsurface region that is internally consistent with all available data. To address this problem, we have developed a strategy towards hydrogeophysical data integration based on Monte-Carlo-type conditional stochastic simulation that we consider to be particularly suitable for local-scale studies characterized by high-resolution and high-quality datasets. Monte-Carlo-based optimization techniques are flexible and versatile, allow for accounting for a wide variety of data and constraints of differing resolution and hardness and thus have the potential of providing, in a geostatistical sense, highly detailed and realistic models of the pertinent target parameter distributions. Compared to more conventional approaches of this kind, our approach provides significant advancements in the way that the larger-scale deterministic information resolved by the hydrogeophysical data can be accounted for, which represents an inherently problematic, and as of yet unresolved, aspect of Monte-Carlo-type conditional simulation techniques. We present the results of applying our algorithm to the integration of porosity log and tomographic crosshole georadar data to generate stochastic realizations of the local-scale porosity structure. Our procedure is first tested on pertinent synthetic data and then applied to corresponding field data collected at the Boise Hydrogeophysical Research Site near Boise, Idaho, USA.

Minimal information about T cell assays: the process of reaching the community of T cell immunologists in cancer and beyond.

Many assays to evaluate the nature, breadth, and quality of antigen-specific T cell responses are currently applied in human medicine. In most cases, assay-related protocols are developed on an individual laboratory basis, resulting in a large number of different protocols being applied worldwide. Together with the inherent complexity of cellular assays, this leads to unnecessary limitations in the ability to compare results generated across institutions. Over the past few years a number of critical assay parameters have been identified which influence test performance irrespective of protocol, material, and reagents used. Describing these critical factors as an integral part of any published report will both facilitate the comparison of data generated across institutions and lead to improvements in the assays themselves. To this end, the Minimal Information About T Cell Assays (MIATA) project was initiated. The objective of MIATA is to achieve a broad consensus on which T cell assay parameters should be reported in scientific publications and to propose a mechanism for reporting these in a systematic manner. To add maximum value for the scientific community, a step-wise, open, and field-spanning approach has been taken to achieve technical precision, user-friendliness, adequate incorporation of concerns, and high acceptance among peers. Here, we describe the past, present, and future perspectives of the MIATA project. We suggest that the approach taken can be generically applied to projects in which a broad consensus has to be reached among scientists working in fragmented fields, such as immunology. An additional objective of this undertaking is to engage the broader scientific community to comment on MIATA and to become an active participant in the project.

Validity of the acoustic approximation in full-waveform seismic crosshole tomography

Acoustic waveform inversions are an increasingly popular tool for extracting subsurface information from seismic data. They are computationally much more efficient than elastic inversions. Naturally, an inherent disadvantage is that any elastic effects present in the recorded data are ignored in acoustic inversions. We investigate the extent to which elastic effects influence seismic crosshole data. Our numerical modeling studies reveal that in the presence of high contrast interfaces, at which P-to-S conversions occur, elastic effects can dominate the seismic sections, even for experiments involving pressure sources and pressure receivers. Comparisons of waveform inversion results using a purely acoustic algorithm on synthetic data that is either acoustic or elastic, show that subsurface models comprising small low-to-medium contrast (?30%) structures can be successfully resolved in the acoustic approximation. However, in the presence of extended high-contrast anomalous bodies, P-to-S-conversions may substantially degrade the quality of the tomographic images. In particular, extended low-velocity zones are difficult to image. Likewise, relatively small low-velocity features are unresolved, even when advanced a priori information is included. One option for mitigating elastic effects is data windowing, which suppresses later arriving seismic arrivals, such as shear waves. Our tests of this approach found it to be inappropriate because elastic effects are also included in earlier arriving wavetrains. Furthermore, data windowing removes later arriving P-wave phases that may provide critical constraints on the tomograms. Finally, we investigated the extent to which acoustic inversions of elastic data are useful for time-lapse analyses of high contrast engineered structures, for which accurate reconstruction of the subsurface structure is not as critical as imaging differential changes between sequential experiments. Based on a realistic scenario for monitoring a radioactive waste repository, we demonstrated that acoustic inversions of elastic data yield substantial distortions of the tomograms and also unreliable information on trends in the velocity changes.

Detection of Raga-characteristic phrases from Hindustani Classical Music Audio

Melodic motifs form essential building blocks in Indian Classical music. The motifs, or key phrases, providestrong cues to the identity of the underlying raga in both Hindustani and Carnatic styles of Indian music. Automatic identification and clustering of similar motifs is relevant in this context. The inherent variations in various instances of a characteristic phrase in a bandish (composition)performance make it challenging to identify similar phrases in a performance. A nyas svara (long note)marks the ending of these phrases. The proposed method does segmentation of phrases through identification ofnyas and computes similarity with the reference characteristic phrase.

A Behavioral Account of the Labor Market: The Role of Fairness Concerns

In this paper, we argue that important labor market phenomena can be better understood if one takes (a) the inherent incompleteness and relational nature of most employment contracts and (b) the existence of reference-dependent fairness concerns among a substantial share of the population into account. Theory shows and experiments confirm that, even if fairness concerns were to exert only weak effects in one-shot interactions, repeated interactions greatly magnify the relevance of such concerns on economic outcomes. We also review evidence from laboratory and field experiments examining the role of wages and fairness on effort, derive predictions from our approach for entry-level wages and incumbent workers' wages, confront these predictions with the evidence, and show that reference-dependent fairness concerns may have important consequences for the effects of economic policies such as minimum wage laws.

L’ocell s’ha tornat gàbia. Indagacions sobre la subjectivitat a partir de Michel Foucault i la psicoanàlisi freudiana

La pregunta originària d’aquest treball girava entorn de la subjectivitat. Concretament,entorn d’una subjectivitat desposseïda. El treball pretenia explorar el descobrimentd’una manca de pertinença respecte allò que un és, el reconeixement d’una estranyesainstal·lada en allò que un sent de més seu, de més protegit i resguardat; allò de méspropi, de més pur i genuí: allò que, des d’una soledat inpertorbada, constitueix allò mésseu del si mateix. Aquest treball pretenia estirar el fil d’una desconfiança radicalrespecte tot allò que un creu de més inherent a ell, d’un procés de des-identificaciórespecte la pròpia voluntat, el desig, el gust, el plaer; de l’experiència de descobrir quequant un més segueix el seu desig més s’aliena, que quan un més és ell mateix menys espertany, que quan un més s’allibera més segueix el mandat d’un remitent llunyà,anònim i desconegut; estirar el fil, en definitiva, de la vivència de sentir el propi «cor»com un cos estrany.

The homeostatic psyche: Freudian theory and somatic markers.

After years of reciprocal lack of interest, if not opposition, neuroscience and psychoanalysis are poised for a renewed dialogue. This article discusses some aspects of the Freudian metapsychology and its link with specific biological mechanisms. It highlights in particular how the physiological concept of homeostasis resonates with certain fundamental concepts of psychoanalysis. Similarly, the authors underline how the Freud and Damasio theories of brain functioning display remarkable complementarities, especially through their common reference to Meynert and James. Furthermore, the Freudian theory of drives is discussed in the light of current neurobiological evidences of neural plasticity and trace formation and of their relationships with the processes of homeostasis. The ensuing dynamics between traces and homeostasis opens novel avenues to consider inner life in reference to the establishment of fantasies unique to each subject. The lack of determinism, within a context of determinism, implied by plasticity and reconsolidation participates in the emergence of singularity, the creation of uniqueness and the unpredictable future of the subject. There is a gap in determinism inherent to biology itself. Uniqueness and discontinuity: this should today be the focus of the questions raised in neuroscience. Neuroscience needs to establish the new bases of a "discontinuous" biology. Psychoanalysis can offer to neuroscience the possibility to think of discontinuity. Neuroscience and psychoanalysis meet thus in an unexpected way with regard to discontinuity and this is a new point of convergence between them.

Stochastic inversion of tracer test and electrical geophysical data to estimate hydraulic conductivities.

Quantifying the spatial configuration of hydraulic conductivity (K) in heterogeneous geological environments is essential for accurate predictions of contaminant transport, but is difficult because of the inherent limitations in resolution and coverage associated with traditional hydrological measurements. To address this issue, we consider crosshole and surface-based electrical resistivity geophysical measurements, collected in time during a saline tracer experiment. We use a Bayesian Markov-chain-Monte-Carlo (McMC) methodology to jointly invert the dynamic resistivity data, together with borehole tracer concentration data, to generate multiple posterior realizations of K that are consistent with all available information. We do this within a coupled inversion framework, whereby the geophysical and hydrological forward models are linked through an uncertain relationship between electrical resistivity and concentration. To minimize computational expense, a facies-based subsurface parameterization is developed. The Bayesian-McMC methodology allows us to explore the potential benefits of including the geophysical data into the inverse problem by examining their effect on our ability to identify fast flowpaths in the subsurface, and their impact on hydrological prediction uncertainty. Using a complex, geostatistically generated, two-dimensional numerical example representative of a fluvial environment, we demonstrate that flow model calibration is improved and prediction error is decreased when the electrical resistivity data are included. The worth of the geophysical data is found to be greatest for long spatial correlation lengths of subsurface heterogeneity with respect to wellbore separation, where flow and transport are largely controlled by highly connected flowpaths.

The shaping of invasive glioma phenotype by the ubiquitin-proteasome system.

Abstract Protein degradation is an indispensable process for cells which is often deregulated in various diseases, including malignant conditions. Depending on the specific cell type and functions of expressed proteins, this aberration may have different effects on the determination of malignant phenotypes. A discrete, inherent feature of malignant glioma is its profound invasive and migratory potential, regulated by the expression of signaling and effector proteins, many of which are also subjected to post-translational regulation by the ubiquitin-proteasome system (UPS). Here we provide an overview of this connection, focusing on important pro-invasive protein signals targeted by the UPS.

Did tool-use evolve with enhanced physical cognitive abilities?

The use and manufacture of tools have been considered to be cognitively demanding and thus a possible driving factor in the evolution of intelligence. In this study, we tested the hypothesis that enhanced physical cognitive abilities evolved in conjunction with the use of tools, by comparing the performance of naturally tool-using and non-tool-using species in a suite of physical and general learning tasks. We predicted that the habitually tool-using species, New Caledonian crows and Galápagos woodpecker finches, should outperform their non-tool-using relatives, the small tree finches and the carrion crows in a physical problem but not in general learning tasks. We only found a divergence in the predicted direction for corvids. That only one of our comparisons supports the predictions under this hypothesis might be attributable to different complexities of tool-use in the two tool-using species. A critical evaluation is offered of the conceptual and methodological problems inherent in comparative studies on tool-related cognitive abilities.

Mechanical properties of viral capsids

Viruses are known to tolerate wide ranges of pH and salt conditions and to withstand internal pressures as high as 100 atmospheres. In this paper we investigate the mechanical properties of viral capsids, calling explicit attention to the inhomogeneity of the shells that is inherent to their discrete and polyhedral nature. We calculate the distribution of stress in these capsids and analyze their response to isotropic internal pressure (arising, for instance, from genome confinement and/or osmotic activity). We compare our results with appropriate generalizations of classical (i.e., continuum) elasticity theory. We also examine competing mechanisms for viral shell failure, e.g., in-plane crack formation vs radial bursting. The biological consequences of the special stabilities and stress distributions of viral capsids are also discussed.

Sulfur isotope variations from orebody to hand-specimen scale at the Mezica lead-zinc deposit, Slovenia: a predominantly biogenic pattern

The Mississippi Valley-type (MVT) Pb-Zn ore district at Mezica is hosted by Middle to Upper Triassic platform carbonate rocks in the Northern Karavanke/Drau Range geotectonic units of the Eastern Alps, northeastern Slovenia. The mineralization at Mezica covers an area of 64 km(2) with more than 350 orebodies and numerous galena and sphalerite occurrences, which formed epigenetically, both conformable and discordant to bedding. While knowledge on the style of mineralization has grown considerably, the origin of discordant mineralization is still debated. Sulfur stable isotope analyses of 149 sulfide samples from the different types of orebodies provide new insights on the genesis of these mineralizations and their relationship. Over the whole mining district, sphalerite and galena have delta(34)S values in the range of -24.7 to -1.5% VCDT (-13.5 +/- 5.0%) and -24.7 to -1.4% (-10.7 +/- 5.9%), respectively. These values are in the range of the main MVT deposits of the Drau Range. All sulfide delta(34)S values are negative within a broad range, with delta(34)S(pyrite) < delta(34)S(sphalerite) < delta(34)S(galena) for both conformable and discordant orebodies, indicating isotopically heterogeneous H(2)S in the ore-forming fluids and precipitation of the sulfides at thermodynamic disequilibrium. This clearly supports that the main sulfide sulfur originates from bacterially mediated reduction (BSR) of Middle to Upper Triassic seawater sulfate or evaporite sulfate. Thermochemical sulfate reduction (TSR) by organic compounds contributed a minor amount of (34)S-enriched H(2)S to the ore fluid. The variations of delta(34)S values of galena and coarse-grained sphalerite at orefield scale are generally larger than the differences observed in single hand specimens. The progressively more negative delta(34)S values with time along the different sphalerite generations are consistent with mixing of different H(2)S sources, with a decreasing contribution of H(2)S from regional TSR, and an increase from a local H(2)S reservoir produced by BSR (i.e., sedimentary biogenic pyrite, organo-sulfur compounds). Galena in discordant ore (-11.9 to -1.7%; -7.0 +/- 2.7%, n=12) tends to be depleted in (34)S compared with conformable ore (-24.7 to -2.8%, -11.7 +/- 6.2%, n=39). A similar trend is observed from fine-crystalline sphalerite I to coarse open-space filling sphalerite II. Some variation of the sulfide delta(34)S values is attributed to the inherent variability of bacterial sulfate reduction, including metabolic recycling in a locally partially closed system and contribution of H(2)S from hydrolysis of biogenic pyrite and thermal cracking of organo-sulfur compounds. The results suggest that the conformable orebodies originated by mixing of hydrothermal saline metal-rich fluid with H(2)S-rich pore waters during late burial diagenesis, while the discordant orebodies formed by mobilization of the earlier conformable mineralization.

Tolerogenic dendritic cells and their role in induction of immune tolerance

Les cellules dendritiques sont des cellules du système immunitaire qui permettent d'instruire les lymphocytes T, autres cellules de ce système, pour mettre en place une réponse immunitaire adaptée afin de combattre et vaincre une infection. Ces cellules dendritiques vont reconnaître des motifs spécifiquement exprimés par des pathogènes par l'intermédiaire de récepteurs exprimés à leur surface. En détectant ces molécules, elles vont s'activer et subir diverses modifications pour pouvoir activer les lymphocytes T. Elles vont alors interagir avec les lymphocytes Τ et transférer les informations nécessaires pour que ces cellules s'activent à leur tour et produisent différentes protéines de façon à éliminer le pathogène. En fonction du type de pathogène, les informations transférées entre les cellules dendritiques et les lymphocytes seront différentes de manière à produire la réponse immunitaire la mieux adaptée pour supprimer l'élément infectieux. Dans le corps, les cellules dendritiques circulent continuellement afin de détecter les éléments étrangers. Quand elles reconnaissent une protéine étrangère, elles la phagocytent, c'est-à-dire qu'elles la mangent afin de pouvoir la présenter aux lymphocytes T. Mais quand elles phagocytent un élément étranger, elles peuvent également prendre des éléments du soi, comme par exemple quand elles phagocytent une cellule infectée par un virus. Les cellules dendritiques doivent alors être capables de différentier les molécules du soi et du non-soi de façon à ne pas induire une réponse en présentant un antigène du soi aux lymphocytes T. D'autant plus que lors de leur développement, les lymphocytes Τ qui sont capables de reconnaître le soi sont éliminés mais ce système n'est pas parfait et donc certains lymphocytes Τ auto-reactifs peuvent se trouver dans le corps. Il existe ainsi d'autres mécanismes en périphérie du site de développement pour inhiber ces lymphocytes Τ auto-reactifs. Ce sont les mécanismes de tolérance. Quand les lymphocytes Τ induisent une réponse aux antigènes du soi, cela résulte à des maladies auto-immunes. Dans mon projet de recherche, nous avons travaillé avec des lignées de cellules dendritiques, c'est-à-dire des cellules dendritiques semblables à celles que l'on peut trouver in vivo mais qui sont immortalisées, elles peuvent donc être cultiver et manipuler in vitro. Nous avons génétiquement modifiées ces lignées cellulaires pour qu'elles expriment des molécules immunosuppressives afin d'étudier comment induire une tolérance immunitaire, c'est-à-dire si l'expression de ces molécules permet d'éviter de générer une réponse immunitaire. Pour cela, nous avons utilisé des modèles murins de tumeurs et de maladies auto-immunes. Nous avons démontré que ces lignées de cellules dendritiques peuvent être un grand outil de recherche pour étudier les bénéfices de différentes molécules immuno-modulatrices afin d'induire une tolérance immunitaire à différents antigènes. - Les cellules dendritiques sont responsables de l'induction des réponses immunitaires adaptatives. Suite à une infection microbienne, les cellules dendritiques s'activent, elles induisent l'expression de molécules de costimulation à leur surface, sécrètent des cytokines et induisent la différentiation des cellules Τ effectrices et mémoires. De plus, les cellules dendritiques ont un rôle important dans l'induction et la maintenance de la tolérance immunitaire au niveau du thymus et en périphérie, en induisant l'anergie, la délétion ou la conversion des cellules Τ naïves en cellules régulatrices. Dans notre groupe, une nouvelle lignée de cellules dendritiques appelée MuTu a été crée par la culture de cellules dendritiques tumorales isolées à partir d'une rate d'une souris transgénique, dans laquelle l'expression de l'oncogène SV40 et du GFP sont sous le contrôle du promoteur CD1 le, et sont ainsi spécifiquement exprimés dans les cellules dendritiques. Ces nouvelles lignées appartiennent au sous-type des cellules dendritiques conventionnelles exprimant CD8a. Elles ont conservé leur capacité d'augmenter l'expression des marqueurs de costimulation à leur surface ainsi que le production de cytokines en réponse à des ligands des récepteurs Toll, ainsi que leur capacité à présenter des antigènes associés aux molécules du complexe majeur d'histocompatibilité (CMH) de classe I ou II pour activer la prolifération et la différentiation des lymphocytes T. En utilisant un système de transduction de lentivirus de seconde génération, ces nouvelles lignées de cellules dendritiques ont été génétiquement modifiées pour sur-exprimer des molécules immunosuppressives (IL-10, TGFP latent, TGFp actif, Activin A, Arginase 1, IDO, B7DC et CTLA4). Ces lignées permettent d'étudier de manière reproductible le rôle de ces molécules potentiellement tolérogènes sur les réponses immunitaires in vitro et in vivo. Ces lignées potentiellement tolérogènes ont été testées, tout d'abord, in vitro, pour leur capacité à inhiber l'activation des cellules dendritiques, à bloquer la prolifération des cellules Τ ou à modifier leur polarisation. Nos résultats démontrent qu'en réponse à une stimulation, la sur-expression des molécules costimulatrices et la sécrétion de molécules pro- inflammatoires est réduite quand les cellules dendritiques sur-expriment l'IL-10. La sur¬expression de TGFp sous sa forme active induit le développement de cellules régulatrices CD4+ CD25+ Foxp3+ et bloque la réponse CD8 cytotoxique tandis que la sur-expression de CTLA4 à la surface des cellules dendritiques inhibe une réponse Thl et induit des lymphocytes Τ anergiques. Ces lignées ont également été utilisées pour étudier l'induction de tolérance in vivo. Tout d'abord, nous avons étudié l'induction de tolérance dans un modèle de développement de tumeurs. En effet, quand les lignées tumorales sont transférées dans les lignées de souris C57BL/6, elles sont reconnues comme du non-soi du à l'expression de l'oncogène SV40 et du GFP et sont éliminées. Ce mécanisme d'élimination a été étudié en utilisant une lignée de cellules dendritiques modifiée pour exprimer la luciférase et qui a permis de suivre le développement des tumeurs par de l'imagerie in vivo dans des animaux vivants. Ces lignées de cellules dendritiques MuTu sont éliminées dans la souris C57BL/6 par les lymphocytes CD8 et l'action cytotoxique de la perforine. Après plusieurs injections, les cellules dendritiques sur-exprimant CTLA4 ou l'actif TGFp peuvent casser cette réponse immunitaire inhérente aux antigènes de la lignée et induire le développement de la tumeur dans la souris C57BL/6. Le développement tumoral a pu être suivi en mesurant la bioluminescence émise par des cellules dendritiques modifiées pour exprimer à la fois l'actif TGFp et la luciférase. Ces tumeurs ont pu se développer grâce à la mise en place d'un microenvironnement suppressif pour échapper à l'immunité en recrutant des cellules myéloïde suppressives, des lymphocytes CD4 régulateurs et en induisant l'expression d'une molécule inhibitrice PD-1 à la surface des lymphocytes CD8 infiltrant la tumeur. Dans un deuxième temps, ces lignées tolérogènes ont également été testées dans un modèle murin de maladies auto-immunes, appelé l'encéphalomyélite auto-immune expérimental (EAE), qui est un modèle pour la sclérose en plaques. L'EAE a été induite dans la souris par le transfert de cellules de ganglions prélevées d'une souris donneuse préalablement immunisée avec une protéine du système nerveux central, la glycoprotéine myéline oligodendrocyte (MOG) émulsifiée dans de l'adjuvant complet de Freund. La vaccination des souris donneuses et receveuses avec les cellules sur-exprimant l'actif TGFP préalablement chargées avec la protéine MOG bloque l'induction de l'EAE. Nous sommes actuellement en train de définir les mécanismes qui permettent de protéger la souris du développement de la maladie auto-immune. Dans cette étude, nous avons ainsi démontré la possibilité d'induire la tolérance in vivo et in vitro à différents antigènes en utilisant nos nouvelles lignées de cellules dendritiques et en les modifiant pour exprimer des molécules immunosuppressives. En conséquence, ces nouvelles lignées de cellules dendritiques représentent un outil pour explorer les bénéfices de différentes molécules ayant des propriétés immuno-modulatrices pour manipuler le système immunitaire vers un phénotype tolérogène. - Dendritic cells (DC) are widely recognized as potent inducers of the adaptive immune responses. Importantly, after microbial infections, DC become activated, induce co- stimulation, secrete cytokines and induce effector and memory Τ cells. DC furthermore play an important role in inducing and maintaining central and peripheral tolerance by inducing anergy, deletion or commitment of antigen-specific naïve Τ cells into regulatory Τ cells. In our group, stable MuTu DC lines were generated by culture of splenic DC tumors from transgenic mice expressing the SV40 large Τ oncogene and the GFP under DC-specific CDllc promoter. These transformed DC belong to the CD8a+ conventional DC subtype and have fully conserved their capacity to upregulate co-stimulatory markers and produce cytokines after activation with Toll Like Receptors-ligands, and to present Major Histocompatibility class-I or MHCII-restricted antigens to activate Τ cell expansion and differentiation. Using a second- generation lentiviral transduction system, these newly developed MuTu DC lines were genetically modified to overexpress immunosuppressive molecules (IL-10, latent TGFp, active TGFp, Activin A, Arginase 1, IDO, B7DC and CTLA4). This allows to reproducibly investigate the role of these potentially tolerogenic molecules on in vitro and in vivo immune responses. These potentially tolerogenic DC were tested in vitro for their ability to inhibit DC activation, to prevent Τ cell proliferation and to modify Τ cell polarization. Our results show that the upregulation of costimulatory molecules and the secretion of pro-inflammatory cytokines were reduced upon stimulation of DC overexpressing IL-10. The overexpression of active TGFP induced the development of CD4+ CD25+ Foxp3+ regulatory Τ cells and inhibited the cytotoxic CD8 Τ cell response as shown by using the OT-II Τ cell system whereas the surface expression of CTLA-4 on DC prevented the Thl response and prompted an anergic antigen-specific Τ cell response. These MuTu DC lines were also used in vivo in order to study the induction of tolerance. First we addressed the induction of tolerance in a model of tumorogenesis. The adoptively transferred tumor cell lines were cleared in C57BL/6 mice due to the foreign expression of SV40 LargeT and GFP. The mechanism of clearance of MuTu DC line into C57BL/6 mice was investigated by using luciferase-expressing DC line. These DC line allowed to follow, by in vivo imaging, the tumor development in living animals and determined that MuTu DC lines were eliminated in a perforin-mediated CD8 Τ cell dependent and CD4 Τ cell independent response. After multiple injections, DC overexpressing CTLA4 or active TGFp could break the immune response to these inherent antigens and induced DC tumorogenesis in wild type mice. The tumor outgrowth in C57BL/6 mice was nicely observed by double-transduced DC lines to express both luciferase and active TGFp. actTGFp-DC tumor was shown to recruit myeloid-derived suppressor cells, induce CD4+ CD25+ Foxp3+ regulatory Τ cells and induce the expression of the inhibitory receptor PD-1 on tumor- infiltrating CD8+ Τ cells in order to escape tumor immunity. Tolerogenic DC lines were also tested for the induction of tolerance in a murine model of autoimmune disease, the experimental autoimmune encephalitis (EAE) model for human multiple sclerosis. EAE was induced in C57BL/6 mice by the adoptive transfer of lymph node cells isolated from donor mice previously immunized by a protein specific to the central nervous system, the myelin oligodendrocyte glycoprotein (MOG) emulsified in the complete freund adjuvant. The vaccination of donor and recipient mice with MOG-pulsed actTGFP-DC line prevented EAE induction. We are still investigating how the active TGFP protect mice from EAE development. We generated tolerogenic DC lines inducing tolerance in vitro and in vivo. Thereby these MuTu DC lines represent a great tool to explore the benefits of various immuno-modulatory molecules to manipulate the immune system toward a tolerogenic phenotype.

R&D poverty traps

In this paper we show that the R&D effort of a country and its economic growth are highly correlated. In order to analyze this relationship, we study the nature of the researching activity. In particular, we focus on the following characteristics of research: the inherent uncertainty of researching, the existence of a wage premium associated to innovative activities, and moral hazard. Assuming that a higher R&D effort translates into a higher R&D success probability, we show that when the R&D success probability is low, the economy is not willing to bear the risk associated to R&D activities. As a consequence, few researchers are hired and the economy stays in an R&D poverty trap, a situation where the economy is stacked in a low growth environment due to the uncertainty associated with the researching activity.