Création de mutants cdc5 en vue de l’identification des substrats de PLK/Cdc5 lors de la réponse d’adaptation aux dommages à l’ADN.

Les kinases de la famille Polo (PLK) jouent un rôle majeur durant le cycle cellulaire, notamment en promouvant des processus essentiels tels que l’entrée en phase M et la sortie du cycle cellulaire. Elles sont également impliquées dans plusieurs cancers et ont un fort pouvoir tumorigène. Notre laboratoire a récemment montré que Cdc5 (la kinase PLK chez Saccharomyces cerevisiae) est également nécessaire pour l'adaptation aux dommages à l'ADN, et que la cible critique de Cdc5 au cours de ce processus pourrait être une cible peu conventionnelle localisée aux centrosomes de levures. Dans le but d’identifier ce substrat, une analyse intégrale du phosphoprotéome de PLK/Cdc5 par spectrométrie de masse devra être réalisée. Pour ce faire, un allèle CDC5 sensible à la température, c’est-à-dire une version mutante qui devient inactive à température élevée, devra être utilisée. Cet allèle devra être thermosensible à 30°C, afin de s’assurer qu’il sera le seul à être inactivé à cette température et que, par conséquent, seuls les substrats de Cdc5 seront identifiés. À cet effet, nous avons généré deux allèles cdc5 thermosensibles à 30°C : cdc5-17 et cdc5-18, puis analysé leur cycle cellulaire à 32°C. Les résultats de cette analyse ont montré que l’exposition des cellules à 32°C résulte en leur blocage en fin de mitose sous la forme bourgeonnée, témoignant d’un défaut dans la promotion de la sortie de la mitose. Ce défaut est causé par la mutation du gène CDC5 dont la protéine favorise la sortie de la mitose via deux voies : la voie du MEN (Mitotic Exit Network) et la voie du FEAR (Cdc Fourteen Early Anaphase Release). cdc5-17 et cdc5-18 représentent des outils biologiques précieux qui permettront de mieux analyser le phosphoprotéome de PLK/Cdc5 et de mener à l’identification des cibles de Cdc5 lors de la réponse d’adaptation aux dommages à l’ADN. Étant donné que l’adaptation aux dommages à l’ADN causés par des chimiothérapies représente l’un des facteurs permettant la prolifération des tumeurs cancéreuses, cette découverte serait un grand pas dans la lutte contre le cancer.

Lecture by John Henry, given at Florida International University, December 8, 2013

John Henry discusses his background and his work. Comments by Javier Hernández-Lichtl, CEO of Baptist West Kendall Hospital. Introduction by Carol Damien.

Lecture by Juan Manuel Echavarria, given at Florida International University, March 7, 2012

Juan Manuel Echavarria discusses his exhibition which includes 24 paintings created by men and women who participated in Colombia’s war. All 35 participants were rank and file soldiers demobilized either under the Ley de Justicia y Paz (Justice and Peace Law), or because they deserted or were wounded in combat. They spent two years painting their personal experiences, illustrating the rural tragedy; witnessing the involvement of drug traffickers, capturing the painful repertoire of violence in Colombia, which for years has played out alongside daily life, blending in with normality. Introduction by Carol Damien.

Lecture by Joel Shapiro, given at Florida International University, December 7, 2008

Joel Shapiro discusses the inspiration behind his works as well as how he constructs his works. Introduction by Carol Damien.

Cognitive processing in non-communicative patients:what can event-related potentials tell us?

Event-related potentials (ERP) have been proposed to improve the differential diagnosis of non-responsive patients. We investigated the potential of the P300 as a reliable marker of conscious processing in patients with locked-in syndrome (LIS). Eleven chronic LIS patients and 10 healthy subjects (HS) listened to a complex-tone auditory oddball paradigm, first in a passive condition (listen to the sounds) and then in an active condition (counting the deviant tones). Seven out of nine HS displayed a P300 waveform in the passive condition and all in the active condition. HS showed statistically significant changes in peak and area amplitude between conditions. Three out of seven LIS patients showed the P3 waveform in the passive condition and five of seven in the active condition. No changes in peak amplitude and only a significant difference at one electrode in area amplitude were observed in this group between conditions. We conclude that, in spite of keeping full consciousness and intact or nearly intact cortical functions, compared to HS, LIS patients present less reliable results when testing with ERP, specifically in the passive condition. We thus strongly recommend applying ERP paradigms in an active condition when evaluating consciousness in non-responsive patients.

Création de mutants cdc5 en vue de l’identification des substrats de PLK/Cdc5 lors de la réponse d’adaptation aux dommages à l’ADN

Les kinases de la famille Polo (PLK) jouent un rôle majeur durant le cycle cellulaire, notamment en promouvant des processus essentiels tels que l’entrée en phase M et la sortie du cycle cellulaire. Elles sont également impliquées dans plusieurs cancers et ont un fort pouvoir tumorigène. Notre laboratoire a récemment montré que Cdc5 (la kinase PLK chez Saccharomyces cerevisiae) est également nécessaire pour l'adaptation aux dommages à l'ADN, et que la cible critique de Cdc5 au cours de ce processus pourrait être une cible peu conventionnelle localisée aux centrosomes de levures. Dans le but d’identifier ce substrat, une analyse intégrale du phosphoprotéome de PLK/Cdc5 par spectrométrie de masse devra être réalisée. Pour ce faire, un allèle CDC5 sensible à la température, c’est-à-dire une version mutante qui devient inactive à température élevée, devra être utilisée. Cet allèle devra être thermosensible à 30°C, afin de s’assurer qu’il sera le seul à être inactivé à cette température et que, par conséquent, seuls les substrats de Cdc5 seront identifiés. À cet effet, nous avons généré deux allèles cdc5 thermosensibles à 30°C : cdc5-17 et cdc5-18, puis analysé leur cycle cellulaire à 32°C. Les résultats de cette analyse ont montré que l’exposition des cellules à 32°C résulte en leur blocage en fin de mitose sous la forme bourgeonnée, témoignant d’un défaut dans la promotion de la sortie de la mitose. Ce défaut est causé par la mutation du gène CDC5 dont la protéine favorise la sortie de la mitose via deux voies : la voie du MEN (Mitotic Exit Network) et la voie du FEAR (Cdc Fourteen Early Anaphase Release). cdc5-17 et cdc5-18 représentent des outils biologiques précieux qui permettront de mieux analyser le phosphoprotéome de PLK/Cdc5 et de mener à l’identification des cibles de Cdc5 lors de la réponse d’adaptation aux dommages à l’ADN. Étant donné que l’adaptation aux dommages à l’ADN causés par des chimiothérapies représente l’un des facteurs permettant la prolifération des tumeurs cancéreuses, cette découverte serait un grand pas dans la lutte contre le cancer.

Impacto del Programa de Alimentación Escolar en el Trabajo Infantil: Una aproximación desde la toma de decisiones familiares

Esta investigación analiza el impacto del Programa de Alimentación Escolar en el trabajo infantil en Colombia a través de varias técnicas de evaluación de impacto que incluyen emparejamiento simple, emparejamiento genético y emparejamiento con reducción de sesgo. En particular, se encuentra que este programa disminuye la probabilidad de que los escolares trabajen alrededor de un 4%. Además, se explora que el trabajo infantil se reduce gracias a que el programa aumenta la seguridad alimentaria, lo que consecuentemente cambia las decisiones de los hogares y anula la carga laboral en los infantes. Son numerosos los avances en primera infancia llevados a cabo por el Estado, sin embargo, estos resultados sirven de base para construir un marco conceptual en el que se deben rescatar y promover las políticas públicas alimentarias en toda la edad escolar.

Climate seasonality limits leaf carbon assimilation and wood productivity in tropical forests.

The seasonal climate drivers of the carbon cy- cle in tropical forests remain poorly known, although these forests account for more carbon assimilation and storage than any other terrestrial ecosystem. Based on a unique combina- tion of seasonal pan-tropical data sets from 89 experimental sites (68 include aboveground wood productivity measure- ments and 35 litter productivity measurements), their asso- ciated canopy photosynthetic capacity (enhanced vegetation index, EVI) and climate, we ask how carbon assimilation and aboveground allocation are related to climate seasonal- ity in tropical forests and how they interact in the seasonal carbon cycle. We found that canopy photosynthetic capacity seasonality responds positively to precipitation when rain- fall is < 2000 mm yr-1 (water-limited forests) and to radia- tion otherwise (light-limited forests). On the other hand, in- dependent of climate limitations, wood productivity and lit- terfall are driven by seasonal variation in precipitation and evapotranspiration, respectively. Consequently, light-limited forests present an asynchronism between canopy photosyn- thetic capacity and wood productivity. First-order control by precipitation likely indicates a decrease in tropical forest pro- ductivity in a drier climate in water-limited forest, and in cur- rent light-limited forest with future rainfall < 2000 mm yr-1.

Séries temporais de EVI/MODIS na identificação da dinâmica da soja em sistema plantio direto no Mato Grosso, Brasil.

As respostas espectrais monitoradas pelo sensor MODIS (MODerate-resolution Imaging Spectroradiometer) podem auxiliar não apenas na identificação dos cultivos, mas também no sistema de manejo adotado pelos produtores rurais de uma região. Objetivou-se com este trabalho avaliar respostas da soja através de índices de vegetação realçado (EVI) extraídos do MODIS como resposta a dinâmica da soja em sistema plantio direto no Estado de Mato Grosso. A área considerada abrange 23 municípios mais representativos na produção de soja no Estado, respondendo no ano agrícola de 2005-2006 a cerca de 65% da produção de soja no Estado. O índice biofísico EVI é eficiente para mapear áreas com cultivos de soja e identificar áreas que adotam práticas conservacionistas como as preconizadas pelo sistema plantio direto. A evolução espaço-temporal do plantio direto apontado pelas respostas espectrais aponta que houve influência sócio-cultural na adoção de práticas do sistema plantio direto, pelos produtores rurais do Estado de Mato Grosso.

Développement, crises et adaptation des territoires du soja au Mato Grosso: l'exemple de Sorriso.

A expansão da cultura da soja no sul da Amazônia Brasileira na década de 1990 permitiu a emergência de novos territórios integrados a "economia mundial" depois da fase pioneira das décadas de 1970 e 1980. Mas, a queda dos preços, a "ferrugem asiática" (doença da soja), a variabilidade climática e as tensões ambientais levaram o setor agrícola a uma crise profunda entre 2004 e 2007. Esta crise demonstrou os limites deste modelo de desenvolvimento bem ilustrado pelo município de Sorriso (maior produtor de soja do Brasil). Os produtores procuram agora aproveitar as lições aprendidas a partir dos fracassos do passado e adaptar-se as novas normas impostas pela sociedade civil e os mercados internacionais (certificação ambiental, aplicação do código florestal, dentre outros). Vários esforços estão sendo realizados para intensificar e diversificar as produções, principalmente através da cultura do milho e do algodão. Enfim, projetos locais de desenvolvimento sustentável baseados na educação ambiental e sensibilização ao reflorestamento estão sendo criados. Isto comprova a vontade de parte dos atores locais de mudar o padrão de desenvolvimento da região.

Comparison of multitemporal MODIS-EVI smoothing algorithms and its contribution to crop monitoring.

Crop monitoring and more generally land use change detection are of primary importance in order to analyze spatio-temporal dynamics and its impacts on environment. This aspect is especially true in such a region as the State of Mato Grosso (south of the Brazilian Amazon Basin) which hosts an intensive pioneer front. Deforestation in this region as often been explained by soybean expansion in the last three decades. Remote sensing techniques may now represent an efficient and objective manner to quantify how crops expansion really represents a factor of deforestation through crop mapping studies. Due to the special characteristics of the soybean productions' farms in Mato Grosso (area varying between 1000 hectares and 40000 hectares and individual fields often bigger than 100 hectares), the Moderate Resolution Imaging Spectroradiometer (MODIS) data with a near daily temporal resolution and 250 m spatial resolution can be considered as adequate resources to crop mapping. Especially, multitemporal vegetation indices (VI) studies have been currently used to realize this task [1] [2]. In this study, 16-days compositions of EVI (MODQ13 product) data are used. However, although these data are already processed, multitemporal VI profiles still remain noisy due to cloudiness (which is extremely frequent in a tropical region such as south Amazon Basin), sensor problems, errors in atmospheric corrections or BRDF effect. Thus, many works tried to develop algorithms that could smooth the multitemporal VI profiles in order to improve further classification. The goal of this study is to compare and test different smoothing algorithms in order to select the one which satisfies better to the demand which is classifying crop classes. Those classes correspond to 6 different agricultural managements observed in Mato Grosso through an intensive field work which resulted in mapping more than 1000 individual fields. The agricultural managements above mentioned are based on combination of soy, cotton, corn, millet and sorghum crops sowed in single or double crop systems. Due to the difficulty in separating certain classes because of too similar agricultural calendars, the classification will be reduced to 3 classes : Cotton (single crop), Soy and cotton (double crop), soy (single or double crop with corn, millet or sorghum). The classification will use training data obtained in the 2005-2006 harvest and then be tested on the 2006-2007 harvest. In a first step, four smoothing techniques are presented and criticized. Those techniques are Best Index Slope Extraction (BISE) [3], Mean Value Iteration (MVI) [4], Weighted Least Squares (WLS) [5] and Savitzky-Golay Filter (SG) [6] [7]. These techniques are then implemented and visually compared on a few individual pixels so that it allows doing a first selection between the five studied techniques. The WLS and SG techniques are selected according to criteria proposed by [8]. Those criteria are: ability in eliminating frequent noises, conserving the upper values of the VI profiles and keeping the temporality of the profiles. Those selected algorithms are then programmed and applied to the MODIS/TERRA EVI data (16-days composition periods). Tests of separability are realized based on the Jeffries-Matusita distance in order to see if the algorithms managed in improving the potential of differentiation between the classes. Those tests are realized on the overall profile (comprising 23 MODIS images) as well as on each MODIS sub-period of the profile [1]. This last test is a double interest process because it allows comparing the smoothing techniques and also enables to select a set of images which carries more information on the separability between the classes. Those selected dates can then be used to realize a supervised classification. Here three different classifiers are tested to evaluate if the smoothing techniques as a particular effect on the classification depending on the classifiers used. Those classifiers are Maximum Likelihood classifier, Spectral Angle Mapper (SAM) classifier and CHAID Improved Decision tree. It appears through the separability tests on the overall process that the smoothed profiles don't improve efficiently the potential of discrimination between classes when compared with the original data. However, the same tests realized on the MODIS sub-periods show better results obtained with the smoothed algorithms. The results of the classification confirm this first analyze. The Kappa coefficients are always better with the smoothing techniques and the results obtained with the WLS and SG smoothed profiles are nearly equal. However, the results are different depending on the classifier used. The impact of the smoothing algorithms is much better while using the decision tree model. Indeed, it allows a gain of 0.1 in the Kappa coefficient. While using the Maximum Likelihood end SAM models, the gain remains positive but is much lower (Kappa improved of 0.02 only). Thus, this work's aim is to prove the utility in smoothing the VI profiles in order to improve the final results. However, the choice of the smoothing algorithm has to be made considering the original data used and the classifier models used. In that case the Savitzky-Golay filter gave the better results.