Coordinator

Dr. Sabine Hölter-Koch

Co-Coordinator

Prof. Yann Hérault

Institute of Genetics and Molecular and Cellular Biology, Strasbourg, France

Interested in PREMOS CLUSTER? Please contact ebra@braincouncil.eu for more information.

PREDICTIVE MODEL SYSTEMS CLUSTER

The primary objective of the PREDICTIVE MODEL SYSTEMS (PREMOS) cluster is to enhance the alignment of EU disease model development resources and preclinical research expertise with clinical and brain research community needs across academia and industry.

Cluster description

The proposed Predictive Model Systems Cluster is formed based on several large networks and current EU funded consortia, which join forces to propel disease modelling capacities and expertise for neuroscience research in Europe and beyond.

The International Mouse Phenotyping Consortium (IMPC) is an international effort of 20 globally distributed research institutions to identify the function of every protein-coding gene in the mouse genome. The International Mouse Phenotyping Consortium (IMPC) is an international effort of 20 globally distributed research institutions to identify the function of every protein-coding gene in the mouse genome.

Specific objectives are to:

  • Improve communication (channels) between disease modelling and brain research communities.

  • Develop shared research priorities aligned to brain research and biopharmaceutical innovation community needs.

  • Enhance resource and data sharing using European Research Infrastructures.

  • Enhance data integration between high dimensional clinical and model data.

  • Prioritise resource development needs (predictive rodent preclinical models).

  • Develop joint back-translation strategies informing preclinical model development.

  • Harmonise/standardize protocols for preclinical research (phenotyping assessments).

  • Expand network of disease modelling experts with focus on brain research (across model systems and integrating in-vivo, in-vitro and in-silico approaches).

  • Robust, rigorous, and reliable CNS preclinical science and data inform R&D decision-making.