A new set of relativistic screening constants for the screened hydrogenic model

AnewRelativisticScreenedHydrogenicModel has been developed to calculate atomic data needed to compute the optical and thermodynamic properties of high energy density plasmas. The model is based on anewset of universal screeningconstants, including nlj-splitting that has been obtained by fitting to a large database of ionization potentials and excitation energies. This database was built with energies compiled from the National Institute of Standards and Technology (NIST) database of experimental atomic energy levels, and energies calculated with the Flexible Atomic Code (FAC). The screeningconstants have been computed up to the 5p3/2 subshell using a Genetic Algorithm technique with an objective function designed to minimize both the relative error and the maximum error. To select the best set of screeningconstants some additional physical criteria has been applied, which are based on the reproduction of the filling order of the shells and on obtaining the best ground state configuration. A statistical error analysis has been performed to test the model, which indicated that approximately 88% of the data lie within a ±10% error interval. We validate the model by comparing the results with ionization energies, transition energies, and wave functions computed using sophisticated self-consistent codes and experimental data.

Identificación y caracterización de la ruta mediada por la proteína G heterotrimérica de Arabidopsis thaliana en la respuesta inmune

La resistencia de las plantas a los hongos necrótrofos como Plectosphaerella cucumerina es genéticamente compleja y depende de la activación coordinada de distintas rutas de señalización (Llorente et al, 2005; Sanchez-Vallet et al, 2010). Entre éstas se encuentran las mediadas por la proteína G heterotrimérica, un complejo formado por tres subunidades (Gα, Gβ y Gγ) que regula tanto la respuesta de inmunidad a diferentes patógenos como distintos procesos de desarrollo (Temple and Jones, 2007). En esta Tesis hemos demostrado que, en Arabidopsis, el monómero funcional formado por las subunidades Gβ y Gγ1/Gγ2 es el responsable de la regulación de la respuesta de defensa, ya que mutantes nulos en estas subunidades (agb1 y agg1 agg2) presentan una alta susceptibilidad al hongo P. cucumerina. Además, hemos identificado varios aminoácidos (Q102, T188 y R235) de la proteína AGB1 esenciales en la interacción con los efectores correspondientes para la regulación de la respuesta inmune (Jiang et al, enviado). Para determinar las bases moleculares de la resistencia mediada por la proteína G heterotrimérica, llevamos a cabo un análisis transcriptómico comparativo entre los genotipos agb1 y Col-0, el cual reveló que la resistencia mediada por AGB1 no depende de rutas defensivas implicadas en la resistencia a hongos necrotrofos, como las mediadas por el ácido salicílico (SA), etileno (ET), jasmónico (JA) o ácido abscísico (ABA), o la ruta de biosíntesis de metabolitos derivados del triptófano. Este estudio mostró que un número significativo de los genes desregulados en respuesta a P. cucumerina en el genotipo agb1 respecto a las plantas silvestres codificaban proteínas con funciones relacionadas con la pared celular. La evaluación de la composición y estructura de la pared de los mutantes de las subunidades de la proteína G heterotrimérica reveló que los genotipos agb1 y agg1 agg2 presentaban alteraciones similares diferentes de las observadas en plantas silvestres Col-0, como una reducción significativa en el contenido de xilosa en la pared. Estos datos sugieren que la proteína G heterotrimérica puede modular la composición/estructura de la pared celular y contribuir, de esta manera, en la regulación de la respuesta inmune (Delgado- Cerezo et al, 2011). La caracterización del interactoma de la proteína G heterotrimérica corroboró la relevancia funcional que presenta en la regulación de la pared celular, ya que un número significativo de las interacciones identificadas estaban comprendidas por proteínas relacionadas directa o indirectamente con la biogénesis y remodelación de la pared celular (Klopffleisch et al, 2011). El papel en inmunidad de algunos de estos potenciales efectores ha sido validado mediante el análisis de la resistencia a P. cucumerina de los mutantes de pérdida de función correspondientes. Con el objetivo de caracterizar las rutas de señalización mediadas por AGB1 e identificar efectores implicados en esta señalización, llevamos a cabo una búsqueda de mutantes supresores de la susceptibilidad de agb1 a P. cucumerina, identificándose varios mutantes sgb (supressor of Gbeta). En esta Tesis hemos caracterizado en detalle el mutante sgb10, que presenta una activación constitutiva de las rutas de señalización mediadas por SA y JA+ET y suprime el fenotipo de susceptibilidad de agb1. SGB10 y AGB1 forman parte de rutas independientes en la regulación de la respuesta inmune, mientras que interaccionan de forma compleja en el control de determinados procesos de desarrollo. La mutación sgb10 ha sido cartografiada entre los genes At3g55010 y At3g56408, que incluye una región con 160 genes. ABSTRACT Plant resistance to necrotrophic fungi Plectosphaerella cucumerina is genetically complex and depends on the interplay of different signalling pathways (Llorente et al, 2005; Sanchez-Vallet et al, 2010). Among others, the heterotrimeric G protein complex has a relevant role. The G protein that is formed by three subunits (Gα, Gβ and Gγ) is a pleiotropic regulator of immune responses to different types of pathogens and developmental issues (Temple and Jones, 2007). Throughout the Thesis, we have demonstrated that Arabidopsis’ functional monomer formed by the Gβ and Gγ1/Gγ2 subunits is a key regulator of defense response, as null mutants (agb1 and agg1 agg2) are equally hypersusceptible to P. cucumerina infection. In addition we have identified several AGB1 aminoacids (Q102, T188 y R235) essentials to interact with specific effectors during the regulation of immune response (Jiang et al, sent).To determine the molecular basis of heterotrimeric G protein mediated resistance we have performed a microarray analysis with agb1-1 and wild type Col-0 plants before and after P. cucumerina challenge. A deep and exhaustive comparative transcriptomical analysis of these plants revealed that AGB1 mediated resistance does not rely on salicilic acid (SA), ethylene (ET), jasmonates (JA), abscisic acid (ABA) or triptophan derived metabolites biosynthesis. However the analysis revealed that a significant number of cell wall related genes are misregulated in the agb1 mutant after pathogen challenge when compared to wild-type plants. The analysis of cell wall composition and structure showed similar cell wall alterations between agb1 and agg1 agg2 mutants that are different from those of wild-type plants, so far the mutants present a significant reduction in xylose levels. All these results suggest that heterotrimeric G protein may regulate immune response through modifications in the cell wall composition/structure (Delgado-Cerezo et al, 2011). The characterization of Heterotrimeric G protein interactome revealed highly connected interactions between the G-protein core and proteins involved in cell wall composition or structure (Klopffleisch et al, 2011). To test the role in immunity of several effectors identified above, we have performed resistance analysis of corresponding null mutants against P. cucumerina. In order to characterize AGB1 mediated signalling pathway and identify additional effectors involved in AGB1-mediated immune response against P. cucumerina, we have performed a screening to isolate mutants with suppression of agb1 phenotype. One of the mutants, named sgb10, has been characterized during the Thesis. The mutant shows constitutive expression of SA, JA+ET-mediated defense signaling pathways to suppres agb1 hypersusceptibility. SGB10 and AGB1 proteins seem to be part of independent pathways in immunity, however its function during development remains unclear. At present, we have mapped the sgb10 mutation between At3g55010 and At3g56408 genes. This region contains 160 genes.

Human midbrain precursors activate the expected developmental genetic program and differentiate long-term to functional A9 dopamine neurons in vitro. Enhancement by Bcl-XL

Understanding the molecular programs of the generation of human dopaminergic neurons (DAn) from their ventral mesencephalic (VM) precursors is of key importance for basic studies, progress in cell therapy, drug screening and pharmacology in the context of Parkinson's disease. The nature of human DAn precursors in vitro is poorly understood, their properties unstable, and their availability highly limited. Here we present positive evidence that human VM precursors retaining their genuine properties and long-term capacity to generate A9 type Substantia nigra human DAn (hVM1 model cell line) can be propagated in culture. During a one month differentiation, these cells activate all key genes needed to progress from pro-neural and prodopaminergic precursors to mature and functional DAn. For the first time, we demonstrate that gene cascades are correctly activated during differentiation, resulting in the generation of mature DAn. These DAn have morphological and functional properties undistinguishable from those generated by VM primary neuronal cultures. In addition, we have found that the forced expression of Bcl-XL induces an increase in the expression of key developmental genes (MSX1, NGN2), maintenance of PITX3 expression temporal profile, and also enhances genes involved in DAn long-term function, maintenance and survival (EN1, LMX1B, NURR1 and PITX3). As a result, Bcl-XL anticipates and enhances DAn generation.

Validation tool for smart screening of language disorders in pediatrics care

Primary-care pediatricians could play a key role in early detection of development disorders as quick as they might have enough time and knowledge for suitable screenings at clinical routine. This research paper focuses on the development and validation of a knowledge-based web tool whose aim is to support a smart detection of developmental disorders in early childhood. Thus, the use of the system can trigger the necessary preventive and therapeutic actions from birth until the age of six. The platform was designed on the basis of an analysis of significant 21 cases of children with language disorders that supported the creation of a specific knowledge base, its ontology and a set of description logic relations. The resulting system is being validated in a scalable approach with a team of seven experts from the fields of neonathology, pediatrics, neurology and language therapy.

Evaluating a web-based clinical decision support system for language disorders screening in a nursery school

Background: Early and effective identification of developmental disorders during childhood remains a critical task for the international community. The second highest prevalence of common developmental disorders in children are language delays, which are frequently the first symptoms of a possible disorder. Objective: This paper evaluates a Web-based Clinical Decision Support System (CDSS) whose aim is to enhance the screening of language disorders at a nursery school. The common lack of early diagnosis of language disorders led us to deploy an easy-to-use CDSS in order to evaluate its accuracy in early detection of language pathologies. This CDSS can be used by pediatricians to support the screening of language disorders in primary care. Methods: This paper details the evaluation results of the ?Gades? CDSS at a nursery school with 146 children, 12 educators, and 1 language therapist. The methodology embraces two consecutive phases. The first stage involves the observation of each child?s language abilities, carried out by the educators, to facilitate the evaluation of language acquisition level performed by a language therapist. Next, the same language therapist evaluates the reliability of the observed results. Results: The Gades CDSS was integrated to provide the language therapist with the required clinical information. The validation process showed a global 83.6% (122/146) success rate in language evaluation and a 7% (7/94) rate of non-accepted system decisions within the range of children from 0 to 3 years old. The system helped language therapists to identify new children with potential disorders who required further evaluation. This process will revalidate the CDSS output and allow the enhancement of early detection of language disorders in children. The system does need minor refinement, since the therapists disagreed with some questions from the CDSS knowledge base (KB) and suggested adding a few questions about speech production and pragmatic abilities. The refinement of the KB will address these issues and include the requested improvements, with the support of the experts who took part in the original KB development. Conclusions: This research demonstrated the benefit of a Web-based CDSS to monitor children?s neurodevelopment via the early detection of language delays at a nursery school. Current next steps focus on the design of a model that includes pseudo auto-learning capacity, supervised by experts.