Rinaudo Keller, Bleris Leonidas, Maddamsetti Rohan, Subramanian Sairam, Weiss Ron, Benenson Yaakov
FAS Center for Systems Biology, Harvard University, 7 Divinity Ave., Cambridge, Massachusetts 02138 USA.
Nat Biotechnol. 2007 Jul;25(7):795-801. doi: 10.1038/nbt1307. Epub 2007 May 21.
Molecular automata that combine sensing, computation and actuation enable programmable manipulation of biological systems. We use RNA interference (RNAi) in human kidney cells to construct a molecular computing core that implements general Boolean logic to make decisions based on endogenous molecular inputs. The state of an endogenous input is encoded by the presence or absence of 'mediator' small interfering RNAs (siRNAs). The encoding rules, combined with a specific arrangement of the siRNA targets in a synthetic gene network, allow direct evaluation of any Boolean expression in standard forms using siRNAs and indirect evaluation using endogenous inputs. We demonstrate direct evaluation of expressions with up to five logic variables. Implementation of the encoding rules through sensory up- and down-regulatory links between the inputs and siRNA mediators will allow arbitrary Boolean decision-making using these inputs.
结合传感、计算和驱动功能的分子自动机能够对生物系统进行可编程操作。我们在人肾细胞中利用RNA干扰(RNAi)构建了一个分子计算核心,该核心实现通用布尔逻辑,以便根据内源性分子输入做出决策。内源性输入的状态由“介导”小干扰RNA(siRNA)的存在或不存在来编码。编码规则与合成基因网络中siRNA靶标的特定排列相结合,允许使用siRNA直接评估标准形式的任何布尔表达式,并使用内源性输入进行间接评估。我们展示了对多达五个逻辑变量的表达式的直接评估。通过输入与siRNA介导物之间的传感上调和下调调节链接来实施编码规则,将允许使用这些输入进行任意布尔决策。