Knowledge management for systems biology a general and visually driven framework applied to translational medicine

Background: To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype - phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory. Results: To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data. Conclusions: We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene - disease and gene - compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development.

T-Cell Receptors Binding Orientation over Peptide/MHC Class I Is Driven by Long-Range Interactions.

Crystallographic data about T-Cell Receptor - peptide - major histocompatibility complex class I (TCRpMHC) interaction have revealed extremely diverse TCR binding modes triggering antigen recognition. Understanding the molecular basis that governs TCR orientation over pMHC is still a considerable challenge. We present a simplified rigid approach applied on all non-redundant TCRpMHC crystal structures available. The CHARMM force field in combination with the FACTS implicit solvation model is used to study the role of long-distance interactions between the TCR and pMHC. We demonstrate that the sum of the coulomb interactions and the electrostatic solvation energies is sufficient to identify two orientations corresponding to energetic minima at 0° and 180° from the native orientation. Interestingly, these results are shown to be robust upon small structural variations of the TCR such as changes induced by Molecular Dynamics simulations, suggesting that shape complementarity is not required to obtain a reliable signal. Accurate energy minima are also identified by confronting unbound TCR crystal structures to pMHC. Furthermore, we decompose the electrostatic energy into residue contributions to estimate their role in the overall orientation. Results show that most of the driving force leading to the formation of the complex is defined by CDR1,2/MHC interactions. This long-distance contribution appears to be independent from the binding process itself, since it is reliably identified without considering neither short-range energy terms nor CDR induced fit upon binding. Ultimately, we present an attempt to predict the TCR/pMHC binding mode for a TCR structure obtained by homology modeling. The simplicity of the approach and the absence of any fitted parameters make it also easily applicable to other types of macromolecular protein complexes.

Les groupes de parole de prévention de la récidive au sein des SPIP: une évolution centrée sur la gestion du risque, entre théorie et adaptation pratique

En France, les différentes réorientations pénales et les missions confiées au Service Pénitentiaire d'Insertion et de Probation (SPIP) placent l'évaluation des risques de récidive et leur prévention au centre de la pratique professionnelle des Conseillers Pénitentiaires d'Insertion et de Probation (CPIP). Les récentes évolutions législatives des missions des SPIP, les mutations identitaires et des pratiques qu'elles impliquent -en particulier les Groupes de Paroles de Prévention de la Récidive (GPPR)-, caractérisent une évolution centrée sur la gestion du risque. Partant de critiques dans la littérature sur la notion de gestion du risque de récidive dans les pratiques pénales et de ce qu'elle induit dans les modes d'appréhension des sujets et dans les interventions professionnelles, l'article met en relation les réorientations vers une gestion du risque telles qu'elles peuvent apparaître dans les textes, missions et référentiel du SPIP, avec une évaluation des pratiques professionnelles centrées sur les GPPR intégrés au sein des SPIP. Y a-t-il infiltration et remodelage des pratiques ? Si c'est bien le cas, on examine où se situe le niveau pertinent de cette influence et du réaménagement des pratiques.

Role of transcription factor PROX1 in colon cancer metastasis

Initiation and progression of most colorectal cancers (CRCs) are driven by hyper-activation of the canonical Wnt/ß-catenin/TCF signaling pathway. However, a basal level of activation of this pathway is necessary for intestinal cell homeostasis; thus only CRC-specific effectors of this pathway could be exploited as potential clinical targets. PROX1 is an evolutionary conserved transcription factor with multiple roles in several tissues in embryogenesis, and increasing relevance in cancer. PROX1 is a colon cancer-specific Wnt target in the intestine, thus it might represent a therapeutic target. The role of PROX1 in promoting the transition from early to highly-dysplastic adenoma was previously described [1], Importantly, tumor metastasis is a leading cause of cancer-related mortality. Frequently, micrometastases are already present in patients at the time of diagnosis, therefore better understanding of the mechanisms regulating growth of macrometastatic lesions is important for the development of novel treatment approaches. In this study we showed that PROX1 is expressed in colon cancer stem cell and promotes the outgrowth of metastatic lesions. Firstly, we analyzed the expression of PROX1 in advanced CRCs and their metastases. We found that PROX1 over-expression is a feature of microsatellite stable tumors (~85% of microsatellite stable (MSS) CRCs), which generally have worse prognosis in comparison to microsatellite unstable CRCs. Analysis of primary CRCs and corresponding metastatic lesions showed that PROX1 expression is conserved, or increased in metastases. Further bioinformatics analysis of tumor and metastases gene expression profiles showed that PROX1 is co- expressed with stem cell and progenitor markers. Moreover, in inducible ApcmLgr5-EGFP-lres-CreERT2 model, Prox1+ cells marked a sub-population of Lgr5+ stem cells and subsequent transient amplifying cell population. Orthotopic model of CRC and lung colonization assays in mice demonstrated that PROX1 promotes tumor cell outgrowth in metastatic lesions, while it has no effect on primary tumor growth, invasion, and survival in circulation or cell extravasation. In vitro, PROX1 expressing tumor cells demonstrated strongly increased capacity to form spheroids, and increased survival and proliferation under hypoxic or nutrient-deprivation conditions. By monitoring cellular respiration under these conditions, we found that PROX1 expressing cells exhibit a better metabolic adaptation to changes in fuel source. Autophagy inhibitors, prevented growth both in vitro and in vivo of PROX1 expressing cells. Importantly, conditional inactivation of PROX1 after the establishment of metastases prevented further growth of macroscopic lesions resulting in stable disease. In summary, we identified a novel mechanism underlying the ability of metastatic colon cancer stem and progenitor cells to survive and grow in target organs through metabolic adaptation. Our results establish PROX1 as a key factor of CRC metastatic disease where it promotes survival of metastatic colon cancer stem-like cells, through their metabolic adaptation in sub-optimal microenvironments - L'initiation et la progression de la plupart des cancers colorectaux (CRC) sont entraînées par une hyper-activation de la voie métabolique Wnt/ß- caténine/TCF. Toutefois, un niveau d'activation minimal de Wnt est nécessaire pour l'homéostasie des cellules intestinales ; ainsi seuls des effecteurs spécifiques du CRC- de cette voie pourraient être exploités comme des cibles cliniques potentielles. PROX1 est un facteur de transcription évolutif conservé avec de multiples rôles dans plusieurs tissus durant l'embryogenèse et une pertinence croissante dans le cancer. PROX1 est une cible Wnt spécifique dans le cancer de l'intestin, donc il pourrait représenter une cible thérapeutique. Le rôle de PROX1 durant l'évolution de la maladie d'un stade précoce jusqu'à l'adénome hautement dysplasique a été décrit précédemment. Surtout, la métastase des tumeurs est une cause majeure de mortalité liée au cancer. Souvent, les micro-métastases sont déjà présentes chez les patients au moment du diagnostic, c'est pourquoi une meilleure compréhension des mécanismes régulant la croissance des lésions macrométastatiques est importante pour le développement de nouvelles approches thérapeutiques. Dans cette étude, nous avons prouvé que PROX1 est exprimé dans les cellules souches du cancer du côlon et favorise l'apparition de lésions métastatiques. Nous avons d'abord analysé l'expression de PROX1 dans des CRC avancés ainsi que dans leurs métastases. Nous avons constaté que la surexpression de PROX1 est une caractéristique des tumeurs stables microsatellites (~85% du MSS CRC), qui ont généralement un pronostic défavorable par rapport aux microsatellites CRC instables. L'analyse des CRC primaires et de leurs métastases liées a montré que l'expression de PROX1 est conservée, voire augmentée dans les métastases. A l'aide d'une base de données de tumeurs et métastases, nous avons observé une co- régulation de PROX1 entre cellules souches et marqueurs de progéniteurs mais pas avec des cellules différenciées. De plus, en utilisant un modèle Apcm Lgr5-EGFP-IRES-CreERT2 inductible, les cellules Prox1+ ont marqué une sous-population de cellules LGR& capable de produire une lignée. Un modèle orthotopique de cancer colorectal et des essais de colonisation du poumon chez la souris ont démontré que PROX1 favorise l'excroissance des cellules tumorales dans les lésions métastatiques, alors qu'il n'a aucun effet sur la croissance tumorale primaire, l'invasion ou une extravasation des cellules. In vitro, les cellules tumorales exprimant PROX1 ont démontré une forte augmentation de leur capacité à former des sphéroïdes, ainsi qu'une augmentation de la survie et de la prolifération dans des conditions hypoxiques ou lors de privation de nutriments. En contrôlant la respiration cellulaire dans ces conditions, nous avons constaté que les cellules exprimant PROX1 présentent une meilleure adaptation métabolique à l'évolution des sources de carburant. Des inhibiteurs de l'autophagie, suggérant une approche thérapeutique potentielle, ont tué à la fois in vitro et in vivo les cellules exprimant PROX1. Surtout, l'inactivation conditionnelle de PROX1 après l'apparition de métastases a empêché la croissance des lésions macroscopiques résultant en une maladie stable. En résumé, nous avons identifié un nouveau mécanisme mettant en évidence la capacité des cellules souches du cancer du côlon métastatique à survivre et à se développer dans les organes cibles grâce à l'adaptation métabolique. Nos résultats définissent PROX1 comme un facteur clé du cancer colorectal métastatique en favorisant la survie des cellules souches métastatiques apparentées au cancer du colon grâce à leur adaptation métabolique aux microenvironnements défavorables.

A-1A Supplemental Security Income Program, April 2005

SUPPLEMENTAL SECURITY INCOME PROGRAM

An analysis of visual adaptation and contrast perception for tone mapping

Tone Mapping is the problem of compressing the range of a High-Dynamic Range image so that it can be displayed in a Low-Dynamic Range screen, without losing or introducing novel details: The final image should produce in the observer a sensation as close as possible to the perception produced by the real-world scene. We propose a tone mapping operator with two stages. The first stage is a global method that implements visual adaptation, based on experiments on human perception, in particular we point out the importance of cone saturation. The second stage performs local contrast enhancement, based on a variational model inspired by color vision phenomenology. We evaluate this method with a metric validated by psychophysical experiments and, in terms of this metric, our method compares very well with the state of the art.

Capacity-achieving input covariance for single-user multi-antenna channels

We characterize the capacity-achieving input covariance for multi-antenna channels known instantaneously at the receiver and in distribution at the transmitter. Our characterization, valid for arbitrary numbers of antennas, encompasses both the eigenvectors and the eigenvalues. The eigenvectors are found for zero-mean channels with arbitrary fading profiles and a wide range of correlation and keyhole structures. For the eigenvalues, in turn, we present necessary and sufficient conditions as well as an iterative algorithm that exhibits remarkable properties: universal applicability, robustness and rapid convergence. In addition, we identify channel structures for which an isotropic input achieves capacity.

A-1A Supplemental Security Income Program, July 2005

A-1A Supplemental Security Income Program, July 2005

On the computational security of a distributed key distribution scheme

In a distributed key distribution scheme, a set of servers helps a set of users in a group to securely obtain a common key. Security means that an adversary who corrupts some servers and some users has no information about the key of a noncorrupted group. In this work, we formalize the security analysis of one such scheme which was not considered in the original proposal. We prove the scheme is secure in the random oracle model, assuming that the Decisional Diffie-Hellman (DDH) problem is hard to solve. We also detail a possible modification of that scheme and the one in which allows us to prove the security of the schemes without assuming that a specific hash function behaves as a random oracle. As usual, this improvement in the security of the schemes is at the cost of an efficiency loss.

Multiuser detection in a dynamic environment — Part II: Joint user identification and parameter estimation

The problem of jointly estimating the number, the identities, and the data of active users in a time-varying multiuser environment was examined in a companion paper (IEEE Trans. Information Theory, vol. 53, no. 9, September 2007), at whose core was the use of the theory of finite random sets on countable spaces. Here we extend that theory to encompass the more general problem of estimating unknown continuous parameters of the active-user signals. This problem is solved here by applying the theory of random finite sets constructed on hybrid spaces. We doso deriving Bayesian recursions that describe the evolution withtime of a posteriori densities of the unknown parameters and data.Unlike in the above cited paper, wherein one could evaluate theexact multiuser set posterior density, here the continuous-parameter Bayesian recursions do not admit closed-form expressions. To circumvent this difficulty, we develop numerical approximationsfor the receivers that are based on Sequential Monte Carlo (SMC)methods (“particle filtering”). Simulation results, referring to acode-divisin multiple-access (CDMA) system, are presented toillustrate the theory.

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Climate change data and predictions for the Himalayas are very sparse and uncertain, characterized by a ?Himalayan data gap? and difficulties in predicting changes due to topographic complexity. A few reliable studies and climate change models for Nepal predict considerable changes: shorter monsoon seasons, more intensive rainfall patterns, higher temperatures, and drought. These predictions are confirmed by farmers who claim that temperatures have been increasing for the past decade and wonder why the rains have ?gone mad.? The number of hazard events, notably droughts, floods, and landslides are increasing and now account for approximately 100 deaths in Nepal annually. Other effects are drinking water shortages and shifting agricultural patterns, with many communities struggling to meet basic food security before climatic conditions started changing. The aim of this paper is to examine existing gaps between current climate models and the realities of local development planning through a case study on flood risk and drinking water management for the Municipality of Dharan in Eastern Nepal. This example highlights current challenges facing local-level governments, namely, flood and landslide mitigation, providing basic amenities ? especially an urgent lack of drinking water during the dry season ? poor local planning capacities, and limited resources. In this context, the challenge for Nepal will be to simultaneously address increasing risks caused by hazard events alongside the omnipresent food security and drinking water issues in both urban and rural areas. Local planning is needed that integrates rural development and disaster risk reduction (DRR) with knowledge about climate change considerations. The paper concludes with a critical analysis of climate change modeling and the gap between scientific data and low-tech and low capacities of local planners to access or implement adequate adaptation measures. Recommendations include the need to bridge gaps between scientific models, the local political reality and local information needs.

An Investigation of User Costs and Benefits of Winter Road Closures, June 2005

This project explores the user costs and benefits of winter road closures. Severe winter weather makes travel unsafe and dramatically increases crash rates. When conditions become unsafe due to winter weather, road closures should allow users to avoid crash costs and eliminate costs associated with rescuing stranded motorists. Therefore, the benefits of road closures are the avoided safety costs. The costs of road closures are the delays that are imposed on motorists and motor carriers who would have made the trip had the road not been closed. This project investigated the costs and benefits of road closures and found that evaluating the benefits and costs is not as simple as it appears. To better understand the costs and benefits of road closures, the project investigates the literature, conducts interviews with shippers and motor carriers, and conducts case studies of road closures to determine what actually occurred on roadways during closures. The project also estimates a statistical model that relates weather severity to crash rates. Although, the statistical model is intended to illustrate the possibility to quantitatively relate measurable and predictable weather conditions to the safety performance of a roadway. In the future, weather conditions such as snow fall intensity, visibility, etc., can be used to make objective measures of the safety performance of a roadway rather than relying on subjective evaluations of field staff. The review of the literature and the interviews clearly illustrate that not all delays (increased travel time) are valued the same. Expected delays (routine delays) are valued at the generalized costs (value of the driver’s time, fuel, insurance, wear and tear on the vehicle, etc.), but unexpected delays are valued much higher because they result in interruption of synchronous activities at the trip’s destination. To reduce the costs of delays resulting from road closures, public agencies should communicate as early as possible the likelihood of a road closure.

A-1A Supplemental Security Income Program, August 2005

SUPPLEMENTAL SECURITY INCOME PROGRAM, August 2005

La adaptación de los periódicos digitales al entorno de la Web 2.0.

El propósito de esta comunicación es analizar el estado actual de los periódicos digitales, prestandoespecial atención a la adaptación de éstos al entorno de la Web 2.0. Para llevar a cabo este trabajo sehan estudiado, entre otras, las siguientes variables: el tipo de herramientas propias de la Web 2.0que los periódicos digitales han incorporado a sus sitios web, la forma en que éstas ha cambiado elproceso de creación de los productos periodísticos, la respuesta que los periódicos digitales hanrecibido por parte de la audiencia y el nuevo tipo de interacción creado con los usuarios.

Towards a User-Friendly Platform for Building Language Resources based on Web Services

This paper presents the platform developed in the PANACEA project, a distributed factory that automates the stages involved in the acquisition, production, updating and maintenance of Language Resources required by Machine Translation and other Language Technologies. We adopt a set of tools that have been successfully used in the Bioinformatics field, they are adapted to the needs of our field and used to deploy web services, which can be combined to build more complex processing chains (workflows). This paper describes the platform and its different components (web services, registry, workflows, social network and interoperability). We demonstrate the scalability of the platform by carrying out a set of massive data experiments. Finally, a validation of the platform across a set of required criteria proves its usability for different types of users (non-technical users and providers).