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Logic integration of mRNA signals by an RNAi-based molecular computer.

机译:通过基于RNAi的分子计算机对mRNA信号进行逻辑整合。

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Synthetic in vivo molecular 'computers' could rewire biological processes by establishing programmable, non-native pathways between molecular signals and biological responses. Multiple molecular computer prototypes have been shown to work in simple buffered solutions. Many of those prototypes were made of DNA strands and performed computations using cycles of annealing-digestion or strand displacement. We have previously introduced RNA interference (RNAi)-based computing as a way of implementing complex molecular logic in vivo. Because it also relies on nucleic acids for its operation, RNAi computing could benefit from the tools developed for DNA systems. However, these tools must be harnessed to produce bioactive components and be adapted for harsh operating environments that reflect in vivo conditions. In a step toward this goal, we report the construction and implementation of biosensors that 'transduce' mRNA levels into bioactive, small interfering RNA molecules via RNA strand exchange in a cell-free Drosophila embryo lysate, a step beyond simple buffered environments. We further integrate the sensors with our RNAi 'computational' module to evaluate two-input logic functions on mRNA concentrations. Our results show how RNA strand exchange can expand the utility of RNAi computing and point toward the possibility of using strand exchange in a native biological setting.
机译:合成体内分子“计算机”可以通过在分子信号与生物反应之间建立可编程的非天然途径来重新链接生物过程。多个分子计算机原型已显示可在简单的缓冲溶液中工作。这些原型中的许多原型都是由DNA链制成,并使用退火-消化或链置换的循环进行计算。我们之前已经引入了基于RNA干扰(RNAi)的计算,作为在体内实现复杂分子逻辑的一种方式。由于RNAi的操作也依赖于核酸,因此RNAi计算可受益于为DNA系统开发的工具。但是,必须利用这些工具生产生物活性成分,并使其适应反映体内条件的恶劣操作环境。在朝着这个目标迈进的一步中,我们报告了构建和实施生物传感器的过程,该传感器可在无细胞果蝇胚胎裂解物中通过RNA链交换将mRNA水平“转化”为具有生物活性的小干扰RNA分子,这是超越简单缓冲环境的一步。我们进一步将传感器与我们的RNAi“计算”模块集成在一起,以评估mRNA浓度的双输入逻辑功能。我们的结果表明RNA链交换如何扩展RNAi计算的效用,并指出在天然生物环境中使用链交换的可能性。

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