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Séminaire – Anne Brunet

mardi 2 juillet 2019 / 11:30

Understanding and modeling aging

Anne Brunet
Stanford University

(Actuellement en séjour sabbatique dans l’équipe de Daniel Choquet)


Abstract

Aging is associated with a decline in tissue function and the onset of a constellation of diseases. We are interested in understanding aging, with a particular focus on brain aging. Because aging is complex, we use organisms with diverse lifespans – the worm C. elegans, the African killifish, the mouse, and cells from mice and humans. We are interested in identifying epigenetic and metabolic pathways involved in delaying aging in response to external stimuli, including nutrients and the opposite sex. Our lab is also interested in using mouse models to address complex questions about mammalian aging, notably the regulation of regenerative neural stem cells and their progeny during aging. Finally, we are pioneering the naturally short-lived African killifish as a new model to identify principles underlying vertebrate aging and “suspended animation”. We hope that these discoveries will identify new strategies to delay, suspend, or even reverse aspects of aging and age-related diseases.

Prochainement

  1. Séminaire – Tomonori Takeuchi

    lundi 17 juin 2019 / 11:30

    Memory consolidation, dopamine and two distinct novelty systems

  2. Séminaire – David Stellwagen

    jeudi 20 juin 2019 / 15:30

    TNF-mediated synaptic plasticity in the response to stress and reward

  3. Séminaire – André Ramos

    vendredi 21 juin 2019 / 11:30

    Le long (et incertain) chemin entre les comportements liés à l'anxiété et les gènes sous-jacents

  4. Séminaire – Manojkumar Saranathan

    vendredi 21 juin 2019 / 14:30

    Segmentation of thalamic nuclei from 3T MRI with applications

  5. Cajal course : Biosensors and actuators for cellular and systems neuroscience

    dimanche 23 juin 2019 - samedi 13 juillet 2019

    Les séminaires sont ouverts à tous.

Détails

Date :
mardi 2 juillet 2019
Heure :
11:30
Catégorie d’Évènement: