Leibniz Institute for Plasma Science and Technology (INP), Greifswald, 17489, Germany.
Department of Nanoscience, University of North Carolina at Greensboro, Greensboro, North Carolina 27401, United States.
ACS Sens. 2021 Feb 26;6(2):371-379. doi: 10.1021/acssensors.0c01278. Epub 2020 Oct 2.
Hybridization of DNA probes immobilized on a solid support is a key process for DNA biosensors and microarrays. Although the surface environment is known to influence the kinetics of DNA hybridization, so far it has not been possible to quantitatively predict how hybridization kinetics is influenced by the complex interactions of the surface environment. Using spatial statistical analysis of probes and hybridized target molecules on a few electrochemical DNA (E-DNA) sensors, functioning through hybridization-induced conformational change of redox-tagged hairpin probes, we developed a phenomenological model that describes how the hybridization rates for single probe molecules are determined by the local environment. The predicted single-molecule rate constants, upon incorporation into numerical simulation, reproduced the overall kinetics of E-DNA sensor surfaces at different probe densities and different degrees of probe clustering. Our study showed that the nanoscale spatial organization is a major factor behind the counterintuitive trends in hybridization kinetics. It also highlights the importance of models that can account for heterogeneity in surface hybridization. The molecular level understanding of hybridization at surfaces and accurate prediction of hybridization kinetics may lead to new opportunities in development of more sensitive and reproducible DNA biosensors and microarrays.
DNA 探针在固相上的杂交是 DNA 生物传感器和微阵列的关键过程。尽管已知表面环境会影响 DNA 杂交的动力学,但迄今为止,还不可能定量预测表面环境的复杂相互作用如何影响杂交动力学。我们使用电化学 DNA(E-DNA)传感器上的探针和杂交靶分子的空间统计分析,通过杂交诱导的氧化还原标记发夹探针的构象变化来工作,开发了一种描述单个探针分子杂交速率如何由局部环境决定的现象模型。预测的单分子速率常数在纳入数值模拟后,再现了不同探针密度和不同探针聚集度下 E-DNA 传感器表面的整体动力学。我们的研究表明,纳米级空间组织是杂交动力学反直觉趋势的主要因素。它还强调了能够解释表面杂交异质性的模型的重要性。对表面杂交的分子水平理解和对杂交动力学的准确预测可能会为开发更灵敏和可重复的 DNA 生物传感器和微阵列带来新的机会。