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X-WR-CALNAME:Centre de Recherches en Cancérologie de Toulouse
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X-WR-CALDESC:Évènements pour Centre de Recherches en Cancérologie de Toulouse
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DTSTART;TZID=Europe/Paris:20250403T140000
DTEND;TZID=Europe/Paris:20250403T163000
DTSTAMP:20260408T184558
CREATED:20250324T083008Z
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UID:61188-1743688800-1743697800@www.crct-inserm.fr
SUMMARY:Single cell Chromium FLEX : retours d'expériences du CRCT
DESCRIPTION:La plateforme de Génomique-Transcriptomique et la société 10x Genomics vous invitent le 3 avril de 14h à 16h30 en salle Cazaux au CRCT à un retour d’expériences sur des projets réalisés au CRCT avec la technologie single cell FLEX.\nCette approche permet de caractériser par séquençage la transcriptomique de cellules uniques à partir d’échantillons fixés ou FFPE. \nIntervenants :\nPauline Gravelle (CRCT\, Equipe NoLymIT)\nAymeric Zambiasi/Charlotte Dubucs (IUCT O\, Anapath)\nCoralie Cayron/Julie Guillermet (CRCT\, Equipe SigDyn)\nAbdelaziz Boual (10x Genomics)\nCecilia Korol (10x Genomics) \nInscription gratuite mais obligatoire \n 
URL:https://www.crct-inserm.fr/evenement/single-cell-chromium-flex-retours-dexperiences-du-crct/
LOCATION:Salle Cazaux
CATEGORIES:Animation scientifique
ATTACH;FMTTYPE=image/png:https://www.crct-inserm.fr/wp-content/uploads/2025/03/event-single-cell-03.04.251.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250410T133000
DTEND;TZID=Europe/Paris:20250410T143000
DTSTAMP:20260408T184558
CREATED:20250330T090715Z
LAST-MODIFIED:20250331T092916Z
UID:61251-1744291800-1744295400@www.crct-inserm.fr
SUMMARY:Séminaire | Elizabeth Moyal\, équipe RADOPT
DESCRIPTION:En savoir plus sur l’équipe RADOPT\, cliquez ici.
URL:https://www.crct-inserm.fr/evenement/seminaire-elizabeth-moyal-equipe-radopt/
LOCATION:Salle Cazaux
CATEGORIES:Animation scientifique
ATTACH;FMTTYPE=image/png:https://www.crct-inserm.fr/wp-content/uploads/2025/03/10.04_EMoyal.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250429T130000
DTEND;TZID=Europe/Paris:20250429T140000
DTSTAMP:20260408T184558
CREATED:20250324T104820Z
LAST-MODIFIED:20250326T084743Z
UID:61253-1745931600-1745935200@www.crct-inserm.fr
SUMMARY:Conférence | Benoit Salomon\, Infinity
DESCRIPTION:
URL:https://www.crct-inserm.fr/evenement/conference-benoit-salomon-infinity/
LOCATION:Salle Cazaux
CATEGORIES:Animation scientifique
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250430T110000
DTEND;TZID=Europe/Paris:20250430T120000
DTSTAMP:20260408T184558
CREATED:20250428T125951Z
LAST-MODIFIED:20250428T130132Z
UID:61608-1746010800-1746014400@www.crct-inserm.fr
SUMMARY:Séminaire Bioinformatique - Dr Miguel Ponce-de-Leon\, Barcelona Supercomputing Center
DESCRIPTION:We will have the pleasure to host Dr Miguel Ponce-de-Leon from Barcelona Supercomputing Center speaking about:\n \nComputational Systems Biology for Cancer Treatment: Bridging Scales to Understand Drug Synergies\n\nAbstract: Understanding and overcoming drug resistance in cancer requires a systems-level perspective that spans molecular\, cellular\, and population scales. One promising strategy to counteract resistance is the use of drug combinations that act synergistically to enhance therapeutic efficacy while limiting adaptation. In this talk\, I will present a suite of computational systems biology approaches that form a mechanistic\, multiscale framework for studying drug synergies and resistance. In the first part of the presentation\, I will introduce a multiscale modelling framework that connects intracellular signalling networks with spatially explicit agent-based models. Using in vitro experiments on the gastric adenocarcinoma cell line AGS\, we developed a model to simulate the effects of kinase inhibitors—both individually and in combination—on cell proliferation and apoptosis. We calibrated the model parameters using time-course data from single-drug treatments. Remarkably\, the model was able to reproduce the experimental dynamics observed under combinatorial treatments\, despite not being trained on them. This result highlights the model’s predictive power and provides mechanistic insights into the emergence of drug synergies at the phenotypic level. To further investigate the molecular basis of these effects\, we integrate transcriptomic data into genome-scale metabolic models using constraint-based approaches. This analysis reveals distinct metabolic shifts under combinatorial treatments\, particularly in amino acid and polyamine biosynthesis\, suggesting key metabolic vulnerabilities linked to drug synergy. By combining multi-omics data with mechanistic modelling\, we aim to support the development of personalised combination therapies that exploit the systems-level complexity of tumour biology.\n\n\nMiguel Ponce-de-Leon has been an established researcher at Alfonso Valencia’s Lab within the Barcelona Supercomputing Centre since 2021. He earned his bachelor’s in biophysics from Udelar and a master’s in bioinformatics from PEDECIBA in Uruguay. Dr. Ponce-de-Leon completed his PhD thesis on metabolic reconstruction and modelling to study endosymbiotic bacteria at Universidad Complutense de Madrid\, under the guidance of Professors Francisco Montero and Juli Peretó. In 2017\, he joined the Computational Biology Group at the Barcelona Supercomputing Centre as a postdoctoral researcher under the supervision of Professor Alfonso Valencia. From 2017 to 2020\, Dr. Ponce-de-Leon specialised in computational systems biology and its applications to precision medicine. He pioneered novel multi-scale modelling approaches\, integrating cell signalling and metabolic networks with agent-based models to study tumour growth and evolution towards drug resistance.
URL:https://www.crct-inserm.fr/evenement/seminaire-bioinformatique-dr-miguel-ponce-de-leon-barcelona-supercomputing-center/
LOCATION:Salle Cazaux
CATEGORIES:Animation scientifique
ATTACH;FMTTYPE=image/jpeg:https://www.crct-inserm.fr/wp-content/uploads/2024/11/conference.jpg
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