IHU RespirERA draws on the combined strength of its three founding partners: Nice University Hospital, Cochin Hospital in Paris, and the Georges-François Leclerc Center in Dijon. Each of these institutions operates ISO 9001-certified biobanks, housing thousands of biological samples (tissue, blood, DNA, etc.) from patients. These valuable resources are essential for improving our understanding of diseases and advancing medical research.
However, these biobanks currently operate as independent entities. Each uses its own IT tools and follows its own internal procedures. This siloed operation significantly limits data sharing, complicates scientific collaboration, and slows down large-scale project development. In short, researchers wishing to access clinical information or samples from multiple centers face numerous technical and organizational hurdles.
To meet the challenges of translational research (the ability to bridge the gap between scientific discovery and practical application for patients), it is vital to create simple, centralized, and harmonized access to data and samples. The biobank network project aims to transform these scattered resources into a collective strategic tool.
The project aims to create a genuine network of interconnected biobanks, based on common procedures and shared tools. The goal is to enhance the efficiency and quality of research on respiratory diseases.
The main actions include:
Through this project, IHU RespirERA seeks to emerge as a national and international reference center for biobanking applied to respiratory pathologies, while encouraging academic and industrial partnerships.
To ensure the success of this ambitious project, a rigorous collaborative methodology has been established:
The creation of this interconnected network represents a major step forward for IHU RespirERA, with concrete impacts:
This project meets two requirements: scientific, by strengthening the IHU’s research and innovation capabilities; and societal, by making the fight against respiratory diseases more effective through the optimized use of biological resources and health data.