Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AZ, The Netherlands.
Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven 5612 AZ, The Netherlands.
ACS Appl Mater Interfaces. 2024 Oct 30;16(43):58191-58202. doi: 10.1021/acsami.4c10310. Epub 2024 Oct 21.
The quantification and control of molecular densities and distributions on biofunctionalized surfaces are key for enabling reproducible functions in biosciences. Here, we describe an analysis methodology for quantifying the density and spatial distribution of high-density biofunctionalized surfaces, with densities in the order of 10-10 biomolecules per μm area, in a short measurement time. The methodology is based on single-molecule DNA-PAINT imaging combined with simulation models that compensate for lifetime and spatial undersampling effects, resulting in three distinct molecule counting methods and a statistical test for spatial distribution. The analysis methodology is exemplified for a surface with ssDNA affinity binder molecules coupled to a PLL--PEG antifouling coating. The results provide insights into the biofunctionalization efficiency, yield, and homogeneity. Furthermore, the data reveal that heterogeneity is inherent to the biofunctionalization process and shed light on the underlying molecular mechanisms. We envision that DNA-PAINT imaging with the developed analysis framework will become a versatile tool to study spatial heterogeneity of densely biofunctionalized surfaces for a wide range of applications.
在生物功能化表面上定量和控制分子密度和分布对于实现生物科学中的可重复功能至关重要。在这里,我们描述了一种分析方法,用于在短测量时间内定量和空间分布高密度生物功能化表面的密度和空间分布,其密度为每 μm 面积 10-10 个生物分子的数量级。该方法基于单分子 DNA-PAINT 成像,并结合了补偿寿命和空间欠采样效应的模拟模型,从而产生了三种不同的分子计数方法和用于空间分布的统计检验。该分析方法通过与 PLL-PEG 抗污涂层偶联的 ssDNA 亲和结合分子的表面进行了示例说明。结果提供了对生物功能化效率、产率和均一性的深入了解。此外,数据表明异质性是生物功能化过程固有的,并揭示了潜在的分子机制。我们设想,具有开发的分析框架的 DNA-PAINT 成像将成为研究各种应用中高密度生物功能化表面空间异质性的通用工具。