Start/end date: January 2025 – July 2026
Funding Agency/Programme: Ministry of University and Research. D34Health – Digital Driven Diagnostics, prognostics, and therapeutics for sustainable Healthcare – National Plan for Complementary Investments to the NRRP. Cascade call managed by Spoke 4 – “Biological and bioengineered in vitro models for care through Digital Twin approaches”, Politecnico di Torino.
Partnership: Fondazione Ri.MED
Abstract: the Castor & Pollux project aims to develop an advanced platform for the generation and analysis of multi-omic data, combining both existing and newly acquired experimental and computational resources. Human cellular diversity, influenced by cellular and microenvironmental interactions, requires complex analysis. Therefore, it is necessary to move beyond traditional 2D cell cultures to 3D models that better replicate cell-environment interactions and to integrate multi-omic analyses for a deeper understanding of biological processes. The Ri.MED Foundation will provide infrastructure and expertise to integrate the laboratory generating multi-omic data with the necessary resources for managing, processing, and interpreting such data. The project includes studies in genomics, metagenomics, epigenomics, and transcriptomics, on single cells and/or pooled cells, using technologies such as Illumina and Oxford Nanopore. The project also plans to create matched samples—datasets in which the same sample is analyzed using different omic approaches—to enhance the understanding of cellular dynamics and develop integrated computational models. As part of the D3 4Health partnership, the Castor & Pollux project aims to enrich the characterization of implemented biological twin models, positioning the Ri.MED Foundation as a reference center for multi-omic analysis in Southern Italy.
Ri.MED UO: Advanced data analysis
Ri.MED Principal Investigator: Claudia Coronnello
Other Ri.MED collaborators: Nicolina Sciaraffa; Ugo Perricone; Maria Giovanna Francipane; Marco Bonanno.
Il progetto è stato selezionato nell’ambito dell’Iniziativa “D34 HEALTH – Digital Driven Diagnostics, prognostics and therapeutics for sustainable Healthcare” (PNC0000001), ed è finanziato dal «Piano nazionale per gli investimenti complementari al Piano Nazionale di Ripresa e Resilienza», Programma PNC-DM MEF 15 LUGLIO 2021.