Multi-layered computational gene networks by engineered tristate logics
Jiawei Shao, Xinyuan Qiu, Lihang Zhang, Shichao Li, Shuai Xue, Yaqing Si, Yilin Li, Jian Jiang, Yuhang Wu, Qiqi Xiong, Yukai Wang, Qidi Chen, Ting Gao, Lingyun Zhu, Hui Wang, Mingqi Xie
Abstract
So far, biocomputation strictly follows traditional design principles of digital electronics, which could reach their limits when assembling gene circuits of higher complexity. Here, by creating genetic variants of tristate buffers instead of using conventional logic gates as basic signal processing units, we introduce a tristate-based logic synthesis (TriLoS) framework for resource-efficient design of multi-layered gene networks capable of performing complex Boolean calculus within single-cell populations. This sets the stage for simple, modular, and low-interference mapping of various arithmetic logics of interest and an effectively enlarged engineering space within single cells. We not only construct computational gene networks running full adder and full subtractor operations at a cellular level but also describe a treatment paradigm building on programmable cell-based therapeutics, allowing for adjustable and disease-specific drug secretion logics in vivo. This work could foster the evolution of modern biocomputers to progress toward unexplored applications in precision medicine.