NEWS JUNE 2021:
research assistant (CDD IE) position is immediately available in our lab
starting Sept 1st, 2021. Established hands-on experience with human
stem cell (iPSC) differentiation is mandatory. Experience with
differentiation into neurons and astrocytes will be a plus. Interested candidates should hold a master obtained not more than 2-4 years ago, and they should have no more than a 2-year history of academic contracts. Interested candidates should apply immediately (letter of motivation,
full CV, 2 reference names): please contact Christian Neri.
Our paper "Shape deformation analysis reveals the
temporal dynamics of cell-type-specific homeostatic and pathogenic
responses to mutant huntingtin" is out in eLife. See https://elifesciences.org/articles/64984.
Interested to know about the details of ideas, data and perspectives in the field shared during the 2019 EMBO workshop on Network inference and Machine learning in Biology and Disease? Here's the public summary! We plan for a second edition, stay tuned.
EMBO NIBD2019 public summary
NEUROFRANCE 2019 symposium on exocytosis and extracellular vesicles in brain development, maintenance, and disease.
Symposium supported by the Société des Neurosciences (Neurofrance 2019) and co-supported by the Société de Biologie Cellulaire Française (SBCF) and Société Française de Microscopie.
See Neurofrance 2019: https://www.professionalabstracts.com/nf2019/iplanner/#/grid
Our primary goal is to understand how the capacity of the brain cell systems to maintain function and resist neurodegenerative disease is regulated on molecular, cellular and inter-cellular levels, how this may fail to slow down the progression of neurodegenerative disease processes, and how these mechanisms may be re-instated for therapeutic purposes. We study these questions in Huntington's disease (HD), a genetic neurodegenerative disease for which well-characterized models and highly dimensional datasets are available across species, and in Alzheimer's disease (AD).
Our knowledge discovery model is based on the combined use of systems modeling, cell biology and clinical research.
To understand how neurodegenerative diseases and aging may work on a systems level, we developed BioGemix —a data integration framework based on innovative machine learning approaches for biological precision in the analysis of dimensional data— and we use it for basic research and clinical discovery purposes.
Experimental biology involves cellular models such as human iPSC-derived cells, and C. elegans genetics.
We access human disease cohort data through our network of collaborators.
We work with the European HD Network (EHDN), APHP, the Gerontopole Ile-de-France, the Paris Region initiative'Longevity and aging', Sorbonne Université, CNRS, INSERM and patient associations.
We promote a strategic model based on a multi-disciplinary and trans-sectorial approach to address the following questions:
- What are the most important compensatory mechanisms that are lost in the course of neurodegenerative disease processes? How to re-instate these mechanisms to prolonge compensation and delay the progression of neurodegenerative diseases such as HD and AD?
- What are the factors allowing to predict the individual capacity for biological resilience in neurodegenerative disease and age-related stress? Along these lines, what are the molecular diagnosis and precision medicine markers allowing to predict the most likely course of neurodegenerative disease progression rate?