Modular and programmable RNA sensing using ADAR editing in living cells

With the increasing availability of single-cell transcriptomes, RNA signatures offer a promising basis for targeting living cells. Molecular RNA sensors would enable the study of and therapeutic interventions for specific cell types/stats in diverse contexts, particularly in human patients and non-model organisms. Here we describe a modular and programmable design for live R NA sensing using a denosine d eaminases a cting on R NA (RADAR). We validated and then expanded our basic design, characterized its performance, and thoroughly analyzed its compatibility with the human/mouse transcriptomes. We also identified strategies to further boost output levels and improve the dynamic range. We show that RADAR is programmable and modular, and uniquely enables compact AND logic. In addition to being quantitative, RADAR can distinguish disease-relevant point mutations. Finally, we demonstrate that RADAR is a self-contained system with the potential to function in diverse organisms.