Hewson Alice R, Lloyd-Laney Henry O, Keenan Tessa, Richards Sarah-Jane, Gibson Matthew I, Linclau Bruno, Signoret Nathalie, Fascione Martin A, Parkin Alison
Department of Chemistry, University of York YO10 5DD York UK
Department of Chemistry, The University of Manchester M13 9PL UK.
Chem Sci. 2024 Sep 13;15(39):16086-95. doi: 10.1039/d4sc04409f.
Glycans play a major role in biological cell-cell recognition and signal transduction but have found limited application in biosensors due to glycan/lectin promiscuity; multiple proteins are capable of binding to the same native glycan. Here, site-specific fluorination is used to introduce protein-glycan selectivity, and this is coupled with an electrochemical detection method to generate a novel biosensor platform. 3F-lacto--biose glycofluoroform is installed onto polymer tethers, which are subsequently immobilised onto gold screen printed electrodes, providing a non-fouling surface. The impedance biosensing platform is shown to selectively bind cancer-associated galectin-3 compared to control glycans and proteins. To improve the analytical capability, Bayesian statistical analysis was deployed in the equivalent circuit fitting of electrochemical impedance spectroscopy data. It is shown that Markov Chain Monte Carlo (MCMC) analysis is a helpful method for visualising experimental irreproducibility, and we apply this as a quality control step.
聚糖在生物细胞间识别和信号转导中起着重要作用，但由于聚糖/凝集素的混杂性，其在生物传感器中的应用有限；多种蛋白质能够与同一种天然聚糖结合。在此，利用位点特异性氟化引入蛋白质-聚糖选择性，并将其与电化学检测方法相结合，以生成一种新型生物传感器平台。将3F-乳糖-N-生物糖糖氟仿安装到聚合物系链上，随后将其固定在金丝网印刷电极上，提供一个抗污染表面。与对照聚糖和蛋白质相比，该阻抗生物传感平台显示出能选择性结合癌症相关的半乳糖凝集素-3。为了提高分析能力，在电化学阻抗谱数据的等效电路拟合中采用了贝叶斯统计分析。结果表明，马尔可夫链蒙特卡罗（MCMC）分析是一种有助于可视化实验不可重复性的方法，我们将其作为质量控制步骤应用。
