Liste des séminaires
Engineering Epithelial OrganoidsOrganoids form through poorly understood morphogenetic processes in which initially homogeneous ensembles of stem cells spontaneously self-organize in suspension or within permissive three-dimensional extracellular matrices. Yet, the absence of virtually any predefined patterning influences such ... |
Xenopus Protein Atlas: missing proteins turn up in frogs !Understanding protein expression across tissues and organisms is crucial for elucidating functional similarities and differences in physiological processes, which is essential for selecting the appropriate model organism in biomedical studies. We present a comprehensive analysis of protein repert... |
Mathematical Perspectives on Clinical Oncology: Modelling Cancer DynamicsThe integration of mathematical models into clinical oncology has emerged as a powerful tool for understanding and predicting cancer dynamics, with applications ranging from forecasting tumor growth and identifying prognostic biomarkers to optimizing therapeutic response. This talk will provide a... |
THE NEUTROPHIL NUCLEUS AS A SIGNALING HUB DURING CHEMOTAXIS AND DNA RELEASEResearch in the Parent lab aims at understanding the mechanisms by which cells reach sites of infection and injury. In particular, our work focuses on neutrophils, the most abundant leukocyte in human blood and first line of defense against insult. We found that, in response to primary chemoattra... |
Systems Biology with AI co-pilots: the hype, the craft and the roadmap.The widely anticipated revolution in biology, driven by the superpowers of GAI, has been slow to materialize. In this talk, we will discuss the concept, the obstacles, and examine two specific projects involving language and image analysis. The first case study involves extracting information fro... |
Tracing back primed resistance in cancerTreatment resistance is a major challenge in cancer care. Beyond genetic changes, non-genetic changes affecting gene expression can drive intrinsic resistance, which are harder to study due to the responsive nature of the transcriptome. To tackle this, we developed ReSisTrace, a methodology that ... |