聚赖氨酸涂层表面推动化学反应网络竞争,实现分子信息处理

IF 3.1 Q2 CHEMISTRY, MULTIDISCIPLINARY ChemSystemsChem Pub Date : 2023-10-22 DOI:10.1002/syst.202300030
A. Hazal Koyuncu, Dr. Jacopo Movilli, Dr. Sevil Sahin, Dmitrii V. Kriukov, Prof. Jurriaan Huskens, Dr. Albert S. Y. Wong
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引用次数: 0

摘要

这项研究描述了一个竞争激活网络,该网络受液体-表面界面的化学反馈调节。反馈回路可动态调节生命系统中化学成分的浓度,从而控制神经、遗传和新陈代谢网络的调节过程。系统化学的进步表明,化学反馈的设计可以基于使用激活和抑制过程的类似概念。然而,大多数工作都集中在时间反馈上,而生物网络是通过时间和空间组织之间的相互作用来维持的。在这里,我们设计了一个反馈系统,该系统包括一个简单的酸碱平衡,可通过两个对立的激活过程进行扰动。最重要的是,其中一个过程是通过聚赖氨酸(PLL)固定在微流体通道表面的。我们使用对 pH 值敏感的指示剂苯酚红测量了涂有 PLL 涂层的通道在流动过程中抵抗 pH 值变化的能力,结果表明,采用聚电解质多层膜可以提高这种能力。具体来说,我们发现局部活化(即固定赖氨酸残基的去质子化)的速率可以显著提高,从而延迟原本快速的平衡。这种效应允许进行编码读写操作,为赋予 CRN 分子信息处理能力提供了可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Polylysine-Coated Surfaces Drive Competition in Chemical Reaction Networks to Enable Molecular Information Processing

This work describes a competing activation network, which is regulated by chemical feedback at the liquid-surface interface. Feedback loops dynamically tune the concentration of chemical components in living systems, thereby controlling regulatory processes in neural, genetic, and metabolic networks. Advances in systems chemistry demonstrate that chemical feedback could be designed based on similar concepts of using activation and inhibition processes. Most efforts, however, are focused on temporal feedback whereas biological networks are maintained by the interplay between temporal and spatial organization. Here, we designed a feedback system comprising a simple acid-base equilibrium that can be perturbed by two opposing activation processes. Crucially, one of the processes is immobilized on the surface of a microfluidic channel using poly-l-lysine (PLL). We measured the capacity of the PLL-coated channels to resist changes in pH in flow using a pH-sensitive indicator, phenol red, and showed that this capacity can be increased by employing polyelectrolyte multilayers. Specifically, we found that the rate of local activation (i. e., the deprotonation of the immobilized lysine residues) could be significantly increased to delay the otherwise fast equilibrium. This effect allowed for encoding read and write operations, providing the potential to bestow CRNs with the capacity of molecular information processing.

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