Abstract
Despite recent advances in mammalian synthetic biology, there remains a lack of modular synthetic receptors that can robustly respond to soluble ligands and in turn activate bespoke cellular functions. Such receptors would have extensive clinical potential to regulate the activity of engineered therapeutic cells, but to date only receptors against cell surface targets have approached clinical translation1. To address this gap, we developed a receptor architecture called synthetic intramembrane proteolysis receptor (SNIPR), that has the added ability to be activated by soluble ligands, both natural and synthetic, with remarkably low baseline activity and high fold activation, through an endocytic, pH-dependent cleavage mechanism. We demonstrate the therapeutic capabilities of the receptor platform by localizing the activity of CAR T cells to solid tumors where soluble disease-associated factors are expressed, bypassing the major hurdle of on-target off-tumor toxicity in bystander organs. We further applied the SNIPR platform to engineer fully synthetic signaling networks between cells orthogonal to natural signaling pathways, expanding the scope of synthetic biology. Our design framework enables cellular communication and environmental interactions, extending the capabilities of synthetic cellular networking in clinical and research contexts.
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Supplementary information
Supplementary Figure 1
Representative gating strategy for cell sorting and flow cytometry experiments.
Supplementary Table 1
Plasmid names and T cell donor information for each experiment described.
Supplementary Table 2
Description, part, and amino acid & DNA sequences for all plasmids described.
Supplementary Table 3
Description and sourcing of genetic components used in manuscript.
Supplementary Table 4
List of antibodies used in manuscript.
Supplementary Table 5
List of recombinant soluble factors for all experiments described.
Supplementary Table 6
List of pharmacological compounds used in receptor inhibition experiments.
Supplementary Data
Supplementary File 1: Jupyter Notebook code for image colocalization analysis and example image.
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Piraner, D.I., Abedi, M.H., Duran Gonzalez, M.J. et al. Engineered receptors for soluble cellular communication and disease sensing. Nature (2024). https://doi.org/10.1038/s41586-024-08366-0
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DOI: https://doi.org/10.1038/s41586-024-08366-0