SOURCE-LINKED INTELLIGENCE
Endothelial immunosuppressive mystery genes for alternative immunotherapy: artificial intelligence-driven target discovery and lipid nanoparticle/RNA-based target validation
Endothelial immunosuppressive mystery genes for alternative immunotherapy: artificial intelligence-driven target discovery and lipid nanoparticle/RNA-based target validation Compared to my previous Advanced ERC grants, this proposal is fundamentally different not only concerning its topic but also regarding its ambition to offer greater societal impact by coupling knowledge gain tighter to translation. It promises to obtain new insights in an understudied endothelial cell (EC) subtype with immunomodulatory gene signatures (coined “IMECs”), highly relevant for alternative immunotherapy development. Indeed, silencing immunosuppressive genes in IMECs offers unprece-dented opportunities to improve the efficacy of and to overcome the resistance to current anti-cancer immunotherapy, to which the immunosuppressive tumor endothelium contributes. To identify previously unknown/unmined (“virgin”) drug targets, we also focus on “mystery” genes, lacking func-tional annotat
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 3498426
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.