Brain-C Lab: Compensation systems in Neurodegenerative diseases and Aging

Understanding cellular compensation trajectories may open new avenues to fight neurodegenerative diseases and aging.

NEWS: Following the EMBO workshop'Network Inference in Biology and Disease', 10-13 September 2019, Naples, Italy, a summary of the conference will be available soon. The participants called for this meeting to be organized again. Stay tuned!

Web link:

NEWS: We are looking for 2 postdoctoral fellows in Probability and Statistics (position 1) and in Bioinformatics (Position 2) to work in machine learning applied to research on aging and neurodegenerative disease. Positions are available in Nov-Dec 2019. If you are interested, please contact Christian Neri.

PAST NEWS: 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:

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 positively impact the progression of neurodegenerative disease processes and how these mechanisms may be targeted on a therapeutic level. We study these questions in Huntington's disease (HD), a genetic neurodegenerative disease for which well-characterized models and high dimensional datasets are available across species, in Alzheimer's disease (AD), and i.

related goal of our laboratory is to use our multi-disciplinary expertise to fight the loss of autonomy caused by acute stress in older people.

Our knowledge discovery model is based on the combined use of systems modeling, cell biology, genetics, and clinical research.

To understand how neurodegenerative diseases and aging may work on a system level, we developed BioGemix —a data integration framework based on innovative machine learning approaches for biological precision in the analysis of high dimensional data — and we use it for basic research and clinical discovery purposes.

Experimental biology involves cellular models such as, notably, 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 and CNRS, INSERM and patient associations.

We promote a strategic model based on a multi-disciplinary and trans-sectorial approach that able to study several aspects of age-related diseases, addressing the following questions:

  • What are the most important systems compensation mechanisms in neurodegenerative diseases? How to target these mechanisms in order to stop 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 and the most likely course of functional recovery upon age-related stress?


Modélisation et BioGemix :


Association et réseaux :

Association Huntington France :

Euro-HD :