Spatiotemporal control of DNA-based chemical reaction network via electrochemical activation in microfluidics.

Spatiotemporal control of DNA-based chemical reaction network via electrochemical activation in microfluidics.
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DOI:
10.1038/s41598-018-24659-7
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发表时间:
2018-04-23
期刊:
影响因子:
4.6
通讯作者:
Vlandas A
Vlandas A
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Kurylo I;Gines G;Rondelez Y;Coffinier Y;Vlandas A

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近年来,DNA计算框架已经被开发用于创建可用于信息处理的动态系统。这些新兴的合成生物化学工具可以被用来更好地理解基础生物学,但也可以在生物传感器和非传统计算中实现。到目前为止,大多数努力都集中在改变DNA分子网络的拓扑结构或扩大它们。因此,有几个问题很少受到关注,仍有待解决,以将其转化为真实的生活技术。特别是,与他们轻松实时交互的能力是一个关键要求。先前实现该目的的尝试使用了繁琐的微流体方法,例如阀。我们表明,电化学触发使用DNA接枝的微制造的金电极可以用来给这些分子系统的指示。我们演示了如何使用这种方法在特定的时间和地点释放基于DNA的指令。特别是,我们在微流体通道中触发反应扩散自催化前沿。虽然受到Au-S键稳定性的限制,但这种易于实现、通用且可扩展的技术可用于任何生物实验室,以提供与任何基于DNA的计算框架进行交互的新方法。
In recent years, DNA computing frameworks have been developed to create dynamical systems which can be used for information processing. These emerging synthetic biochemistry tools can be leveraged to gain a better understanding of fundamental biology but can also be implemented in biosensors and unconventional computing. Most of the efforts so far have focused on changing the topologies of DNA molecular networks or scaling them up. Several issues have thus received little attention and remain to be solved to turn them into real life technologies. In particular, the ability to easily interact in real-time with them is a key requirement. The previous attempts to achieve this aim have used microfluidic approaches, such as valves, which are cumbersome. We show that electrochemical triggering using DNA-grafted micro-fabricated gold electrodes can be used to give instructions to these molecular systems. We demonstrate how this approach can be used to release at specific times and locations DNA- based instructions. In particular, we trigger reaction-diffusion autocatalytic fronts in microfluidic channels. While limited by the stability of the Au-S bond, this easy to implement, versatile and scalable technique can be used in any biology laboratory to provide new ways to interact with any DNA-based computing framework.
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