HAL - Normandie Université
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Brain health: Pathway to primary prevention of neurodegenerative disorders of environmental origin
No full textInternational audienc
Calciprotein particle-activated endothelial cells aggravate smooth muscle cell calcification via paracrine signalling
No full textISTCTInternational audienceBackground Vascular calcification is highly prevalent in Chronic Kidney Disease (CKD) and is associated with markedly increased cardiovascular risk. High serum phosphate in CKD increases calcification propensity via generation of circulating calciprotein particles (CPP2), crystalline nanoaggregates composed of calcium, phosphate, and serum proteins. CPP2 induce vascular calcification in vascular smooth muscle cells (VSMCs) in vitro. In vivo, endothelial cells, rather than VSMCs are primarily exposed to CPP2, yet understanding the influence of endothelial cells on vascular calcification is limited. Methods We investigated calcification-promoting signalling by endothelial cells on VSMCs. Effects of CPP2 exposure to endothelial cells on CPP2 uptake, endothelial cell activation, and endothelial cell-derived secretome were studied. Effects of the secretome on VSMC calcification were investigated. Using NanoString nCounter analysis the effects of CPP2-activated endothelial cell-conditioned medium on VSMCs gene expression were mapped. Results Endothelial cells internalise CPP2 and elevate ICAM-1, E-selectin, and VCAM-1-mRNA expression, indicating endothelial activation. VSMCs cultured in conditioned medium from CPP2-activated endothelial cells demonstrated enhanced calcification, suggesting that CPP2-activated endothelial cells release pro-calcifying soluble factors. Mass spectrometry was utilized to identify 1171 proteins in the CPP2-activated endothelial cells' secretome. Among these, 76 proteins were differentially expressed compared to control endothelial cells' secretome, including proteins related to blood vessel development, extracellular matrix remodelling, and oxidative stress-related processes. Finally, endothelial cell-derived paracrine factors present in conditioned medium enhanced mRNA-expression of calcification-related factors in VSMCs. Conclusions CPP2-activated endothelial cells promote VSMC calcification via paracrine signalling. In response to these paracrine factors, VSMCs increase the expression of pro-calcification genes
Characterization of the VOC Promoter That Is Active Under Low-Salinity Conditions in the Diatom Phaeodactylum tricornutum
No full textInternational audienceMicroalgae such as Phaeodactylum tricornutum are promising cell biofactories for the production of high-value molecules, including monoclonal antibodies (mAbs). However, to date, the production of mAbs in P. tricornutum using the inducible nitrate reductase (NR) promoter has yielded only a limited amount of mAbs. Therefore, the identification of a robust promoter that produces high yields of mAbs is crucial for the development of a cost-effective expression system. To date, only a few endogenous promoters have been characterized in P. tricornutum. In this study, we identified thirty-three potential "strong" endogenous promoters based on our previously published transcriptomic data from the P. tricornutum Pt3 strain. These putative promoter sequences were cloned into an episomal vector and fused to the gene encoding enhanced green fluorescent protein (eGFP). Their strength was assessed by measuring eGFP fluorescence, which reflects the level of eGFP protein expression. Of the thirty-three promoters, thirteen were able to successfully drive eGFP protein expression. Among them, the best results were obtained with the VOC promoter, which allowed a significant increase in eGFP expression compared to that induced by the NR promoter. These results contribute to the identification of new genetic tools that can be used in future studies to increase the yield of production of recombinant proteins in P. tricornutum at an industrial scale.</div
Invalidité et indemnisation des pertes de gains professionnels futurs : quelle articulation ?
No full textInternational audienceObservations sur Civ. 2, 3 avril 2025, n° 23-19.227L'impossibilité de retrouver un emploi ne peut se déduire du seul classement en invalidité de 2e catégorie par la caisse de sécurité sociale, lequel ne suffit donc pas à justifier l'indemnisation d'une perte totale des gains professionnels futurs
L’enseignement de la dialectologie à l’université de Caen Normandie
No full textInternational audiencePlan : Un pionnier : Charles Guerlin de GuerLes « Quarante glorieuses » de la dialectologie normande (1960‑2001)Le renouveau récent de l’enseignement de la dialectologie normande -- Le Diplôme universitaire d’études normandes (DUEN) -- La dialectologie dans la formation certifiante : « Sensibilisation à la culture normande »Conclusio
Er3+-doped amorphous tellurite thin films
No full textInternational audienceRadio‐frequency (RF) magnetron sputtering was used to deposit amorphous tellurite thin films from glassy targets from TeO2–ZnO–Na2O/BaO/Bi2O3 system doped with 2.5 mol% of Er2O3. The impact of the sputtering power on the optical, luminescence, and structural properties of the films is discussed. The deposition process leads to amorphous and transparent films which emit light in the visible and near‐infrared confirming the presence of Er3+ in the films’ network. Owing to their large refractive index and stability overtime, the Bi containing films are potential materials for integrated photonics and optical switches
New Linear-time Algorithm for SubTree Kernel Computation based on Root-Weighted Tree Automata
No full textTree kernels have been proposed to be used in many areas as the automatic learning of natural language applications. In this paper, we propose a new linear time algorithm based on the concept of weighted tree automata for SubTree kernel computation. First, we introduce a new class of weighted tree automata, called Root-Weighted Tree Automata, and their associated formal tree series. Then we define, from this class, the SubTree automata that represent compact computational models for finite tree languages. This allows us to design a theoretically guaranteed linear-time algorithm for computing the SubTree Kernel based on weighted tree automata intersection. The key idea behind the proposed algorithm is to replace DAG reduction and nodes sorting steps used in previous approaches by states equivalence classes computation allowed in the weighted tree automata approach. Our approach has three major advantages: it is output-sensitive, it is free sensitive from the tree types (ordered trees versus unordered trees), and it is well adapted to any incremental tree kernel based learning methods. Finally, we conduct a variety of comparative experiments on a wide range of synthetic tree languages datasets adapted for a deep algorithm analysis. The obtained results show that the proposed algorithm outperforms state-of-the-art methods
Accompagner les habitant·es dans leur mobilité quotidienne. Défis et opportunités d’une méthode de parcours commenté
No full textInternational audienceCette présentation revient sur l'application d'une méthode de parcours commentés dans le cadre de deux thèses en géographie humaine et d'un programme ANR portant sur les mobilités quotidiennes dans les métropoles andines. Le processus de définition de cette méthode, les limites de son application et des explorations d'analyse et d'écriture à partir des données collectées sont étudiées
