Philippe JEAN-PIERRE

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• Type de publi. : Article dans une revue
• Date de publi. : 16/07/2007
• Auteurs : Pierre-Yves OrainJean-François CaponNelly KervarecFrédéric GloaguenFrançois Y. PétillonRoger PichonPhilippe P. SchollhammerJean Talarmin
• Organismes : Chimie, Electrochimie Moléculaires et Chimie Analytique Chimie, Electrochimie Moléculaires et Chimie Analytique Plateforme technologique de Résonance Magnétique Nucléaire et de Résonance Paramagnétique Electronique Chimie, Electrochimie Moléculaires et Chimie Analytique Chimie, Electrochimie Moléculaires et Chimie Analytique Plateforme technologique de Résonance Magnétique Nucléaire et de Résonance Paramagnétique Electronique Chimie, Electrochimie Moléculaires et Chimie Analytique Chimie, Electrochimie Moléculaires et Chimie Analytique
• Publié dans Dalton Transactions le 01/11/2020

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Résumé : Treatment of [Fe2(µ-pdt)(CO)6] (pdt = S(CH2)3S) with 1,10-phenanthroline (phen) in refluxing toluene affords the asymmetric complex [Fe2(µ-pdt)(CO)4(phen)] (1); the protonation of 1 with HBF4·OEt2 in CD2Cl2 at 203 K has been monitored by 1H NMR.

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• Type de publi. : Communication dans un congrès
• Date de publi. : 16/07/2007
• Auteurs : Aurélien LavaudAbad ChabbiV. JacquementJean-Philippe Croué
• Organismes : Laboratoire de Chimie de l'Eau et de l'Environnement [ESA 6008] Unité Expérimentale Fourrages et Environnement de Lusignan Biogéochimie et écologie des milieux continentaux VEOLIA France Laboratoire de Chimie de l'Eau et de l'Environnement [ESA 6008]

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• Type de publi. : Article dans une revue
• Date de publi. : 15/07/2007
• Auteurs : Alexandre Ho-Pun-CheungEric AssenatSimon ThezenasFrédéric BibeauRouanet PhilippeDavid AzriaDominic CellierJean GrenierMarc YchouPierre SenesseEvelyne Lopez-Crapez
• Organismes : Immunociblage des tumeurs et ingénierie des anticorps Département d'oncologie Médicale Département de nutrition et d'oncologie digestive Unité de biostatistiques Laboratoire d'anatomo-pathologie Département de radiothérapie Département de chirurgie Immunociblage des tumeurs et ingénierie des anticorps Merck Santé Département d'oncologie Médicale Département de nutrition et d'oncologie digestive Département de nutrition et d'oncologie digestive Département d'oncologie Médicale
• Publié dans International Journal of Radiation Oncology, Biology, Physics le 31/10/2020

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Résumé : PURPOSE: To investigate whether CCND1 genetic variations associated with a constitutive nuclear protein may influence either the pathologic response to preoperative RT or the prognosis in a series of rectal cancer patients. METHODS AND MATERIALS: Seventy rectal cancer patients treated by neoadjuvant radiotherapy were included in the study. CCND1 exon 5 mutations were screened, and the G870A polymorphism was assessed for correlation with clinical variables, tumor response, and patient outcome. RESULTS: No exon 5 mutation was found. Concerning the G870A polymorphism, the A/A variant was significantly associated with radiosensitivity (p = 0.022). Moreover, patients harboring the A allele were correlated with a lower risk of local failure (p = 0.017). Also, combination of the G870A polymorphism with the post-therapeutic lymph node status allowed the elaboration of a prognostic index, which accurately distinguished subgroups of patients with predictable recurrence-free (p = 0.003) and overall (p = 0.044) survival. CONCLUSIONS: Although CCND1 exon 5 mutations are rare in rectal cancer, G870A polymorphism is a frequent variation that may predict radiosensitivity and prognosis.

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Fichiers liés : Revised_Tables.pdf Revised_MS_cyclin_D1_Unmarked_.pdf

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• Type de publi. : Article dans une revue
• Date de publi. : 12/07/2007
• Auteurs : Irina PanteleevaStéphanie BoutillierViolaine SéeDave SpillerCaroline RouauxGeneviève AlmouzniDelphine BaillyChristèle MaisonHelen LaiJean-Philippe LoefflerAnne-Laurence Boutillier
• Organismes : Laboratoire de signalisation moléculaire et neurodégénerescence University of Liverpool Mécanismes Centraux et Périphériques de la Neurodégénérescence Dynamique nucléaire et plasticité du génome Dynamique nucléaire et plasticité du génome Dynamique nucléaire et plasticité du génome Laboratoire de signalisation moléculaire et neurodégénerescence Laboratoire de signalisation moléculaire et neurodégénerescence
• Publié dans EMBO Journal le 23/10/2020

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• Type de publi. : Article dans une revue
• Date de publi. : 12/07/2007
• Auteurs : Khaldoun SalehWigneron J.-P.Philippe WaldteufelPatricia de RosnayMike SchwankJ.-C. CalvetYann H. Kerr
• Organismes : Écologie fonctionnelle et physique de l'environnement Écologie fonctionnelle et physique de l'environnement Service d'aéronomie Centre d'études spatiales de la biosphère Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] Météo-France Direction Interrégionale Sud-Est Centre d'études spatiales de la biosphère
• Publié dans Remote Sensing of Environment le 28/10/2020

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Résumé : The scope of this study is to establish the parameters of the L-band (1.4 GHz) Microwave Emission of the Biosphere model (L-MEB) for grass covers, and to assess surface soil moisture retrievals in areas covered by grass. L-MEB parameters are key ancillary information for the Soil Moisture and Ocean Salinity mission (SMOS) retrieval algorithm that produces estimates of the surface soil moisture from measurements of the surface brightness temperature at L-band. L-band data sets from three ground-based experiments over grass are analysed in this paper: BARC (orchard grass and alfalfa), ELBARA-ETH (clover grass), and SMOSREX (grass and litter from a field left fallow). Modelling of the brightness temperature using the zero-th order radiative transfer model in L-MEB indicates that the vegetation appears isotropic to microwaves propagating with horizontal polarisation, and that the single scattering albedo can be neglected. At vertical polarisation, non-zero scattering is observed for all the grass data sets. Surface soil moisture is retrieved with enough accuracy for all data sets as long as the soil and litter emission are calibrated beforehand. Then surface soil moisture and vegetation optical depth can be left as free parameters in the retrieval process. Finally, the study highlights the importance of detecting strong emission and attenuation by wet vegetation and litter due to rainfall interception in order to obtain accurate estimates of the surface soil moisture. The study illustrates how strong rainfall interception can be flagged straightforwardly using a microwave polarisation index.

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• Type de publi. : Communication dans un congrès
• Date de publi. : 09/07/2007
• Auteurs : Vincent MartinVanessa MartinPhilippe Poullain
• Organismes : Institut Jean Le Rond d'Alembert Interactions Eau-Geomatériaux Institut de Recherche en Génie Civil et Mécanique

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Résumé : Within an experimental framework, in porous saturated media, it remains a delicate problemto identify sound speed and attenuation, two related characteristics. Using a temporal methodis problematic as samples are short and, moreover, the Fourier transform is unable to extractinformation from the frequency domain.Wavenumbers can be identified by stationary methods, but the ratio of displacements atthe sample exit to displacements at the entry does not depend linearly on the wavenumber. Anon-convex minimization is quite unreliable, since it depends on the initial value it has to startfrom. A genetic algorithm could certainly be of some help here. However, with a rather morephysical insight, when dealing with samples of different lengths, averaging the results couldalready improve reliability. Here we suggest going further in the same vein, using a differentapproach to reach a robust result.Indeed, as said previously, the function available is not linear with regard to theparameters. But starting from a first identified value, the perturbation method makes itpossible to linearize the function with regard not to the parameter itself but to its variation.Such an approach provides not only information about the stability of the function with theparameter variation but also, within the limits of stability, an analytical solution, thanks to thenow convex optimization of the variation which will refine the initial value.This presentation provides an analysis of the approach. It is the first step towards thestudy of how the model influences the stability of the identification, a problem which isdefinitely of interest today.

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• Type de publi. : Communication dans un congrès
• Date de publi. : 09/07/2007
• Auteurs : Frédéric BernardinMireille BossyAntoine RousseauTamara SalamehPhilippe Drobinski
• Organismes : Centre d'études techniques de l'équipement de Lyon Simuler et calibrer des modèles stochastiques Modelling, Observations, Identification for Environmental Sciences Laboratoire de Météorologie Dynamique (UMR 8539) Laboratoire de Météorologie Dynamique (UMR 8539)

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Résumé : A Lagrangian stochastic model is introduced in order to describe the local behavior of the wind. Based on some data given by a large scales meteorological model (MM5), and thanks to particles driven by stochastic differential equations, we propose a numerical method allowing to improve the MM5 simulations at small scales, without requiring too much additional computational cost.

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• Type de publi. : Article dans une revue
• Date de publi. : 05/07/2007
• Auteurs : Benoît CallendretValérie LorinPierre CharneauPhilippe MarianneauHugues ContaminJean-Michel BettonSylvie van Der WerfNicolas Escriou
• Organismes : Génétique Moléculaire des Virus Respiratoires Génétique Moléculaire des Virus Respiratoires Virologie moléculaire et Vectorologie Biologie des Infections Virales Émergentes - Biology of Emerging Viral Infections [CIRI] Biologie des Infections Virales Émergentes - Biology of Emerging Viral Infections [CIRI] Biochimie Structurale Génétique Moléculaire des Virus Respiratoires Génétique Moléculaire des Virus Respiratoires
• Publié dans Virology le 24/10/2020

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Résumé : The SARS-CoV spike glycoprotein (S) is the main target of the protective immune response in humans and animal models of SARS. Here, we demonstrated that efficient expression of S from the wild-type spike gene in cultured cells required the use of improved plasmid vectors containing donor and acceptor splice sites, as well as heterologous viral RNA export elements, such as the CTE of Mazon-Pfizer monkey virus or the PRE of Woodchuck hepatitis virus (WPRE). The presence of both splice sites and WPRE markedly improved the immunogenicity of S-based DNA vaccines against SARS. Upon immunization of mice with low doses (2 microg) of naked DNA, only intron and WPRE-containing vectors could induce neutralizing anti-S antibodies and provide protection against challenge with SARS-CoV. Our observations are likely to be useful for the construction of plasmid and viral vectors designed for optimal expression of intronless genes derived from cytoplasmic RNA viruses.

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• Type de publi. : Communication dans un congrès
• Date de publi. : 05/07/2007
• Auteurs : Jean-Philippe DelahayeJacques PalicotChristophe MoyPierre Leray
• Organismes : Institut d'Électronique et des Technologies du numéRique Institut d'Électronique et des Technologies du numéRique Institut d'Électronique et des Technologies du numéRique

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• Type de publi. : Article dans une revue
• Date de publi. : 01/07/2007
• Auteurs : Kevin BleakleyGérard BiauJean-Philippe Vert
• Organismes : Laboratoire de Statistique Théorique et Appliquée Laboratoire de Statistique Théorique et Appliquée Centre de Bioinformatique
• Publié dans Bioinformatics le 25/10/2020

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Résumé : MOTIVATION: Inference and reconstruction of biological networks from heterogeneous data is currently an active research subject with several important applications in systems biology. The problem has been attacked from many different points of view with varying degrees of success. In particular, predicting new edges with a reasonable false discovery rate is highly demanded for practical applications, but remains extremely challenging due to the sparsity of the networks of interest. RESULTS: While most previous approaches based on the partial knowledge of the network to be inferred build global models to predict new edges over the network, we introduce here a novel method which predicts whether there is an edge from a newly added vertex to each of the vertices of a known network using local models. This involves learning individually a certain subnetwork associated with each vertex of the known network, then using the discovered classification rule associated with only that vertex to predict the edge to the new vertex. Excellent experimental results are shown in the case of metabolic and protein-protein interaction network reconstruction from a variety of genomic data. AVAILABILITY: An implementation of the proposed algorithm is available upon request from the authors.

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