SOURCE-LINKED INTELLIGENCE
Synergistic treatment of solid tumours by engineering novel synthetic communication systems in T cells and Macrophages
ctional, limiting their efficacy. Innovative solutions are needed to address this unmet need and unlock the full potential of immunotherapies. WHAT: TeaM integrates synthetic biology, immunology, and artificial intelligence to arm CD8+T cells and macrophages with synthetic communication systems that sense the immunosuppressive TME and activate precise and localized therapeutic response. HOW: In the past years, also supported by an ERC Starting grant I made key contributions to mammalian cell engineering, addressing important bottlenecks with innovative solutions. Motivated by this progress, I am ready to challenge my know-how and investigate new frontiers in cell-based immunotherapies, driving revolutionary possibilities for cancer treatment. Leveraging my expertise in mammalian synthetic biology, we will design circuits that decode and reprogram the TME. Key innovations include: 1) Synthetic receptors targeting TME-specific molecules; (2) Humanized transcriptional activators; (3) Cell type-specific synthetic promoters devoid of off-target effects; (4) A Machine Learning model to op
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2437500
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.