Department of Chemistry, Illinois Institute of Technology, 3101 South Dearborn Street, Chicago, Illinois 60616, United States.
Amazon, 2121 Seventh Avenue, Seattle, Washington 98121, United States.
Anal Chem. 2020 Nov 17;92(22):15042-15049. doi: 10.1021/acs.analchem.0c03007. Epub 2020 Oct 29.
Due to the limited clinical utility of individual biomarkers, there is growing recognition of the need for combining multiple biomarkers as a panel to improve the accuracy and efficacy of disease diagnosis and prognosis. The conventional method to detect multiple analyte species is to construct a sensor array, which consists of an array of individual selective probes for different species. In this work, by using cancer biomarker matrix metalloproteinases (MMPs) and a disintegrin and metalloproteinases (ADAMs) as model analytes and functionalized nanographene oxide (nGO) as a sensing element, we developed a multiplexing fluorescence sensor in a nonarray format for simultaneous measurement of the activities of multiple proteases. The constructed nGO-based biosensor was rapid, sensitive, and selective and was also utilized for the successful profiling of ADAMs/MMPs in simulated serum samples. Furthermore, we showed that joint entropy and programming could be utilized to guide experiment design, especially in terms of the selection of a subset of proteases from the entire MMPs/ADAMs family as an appropriate biomarker panel. Our developed nGO-based multiplex sensing platform should find useful application in early cancer detection and diagnosis.
由于单个生物标志物的临床应用有限,人们越来越认识到需要将多个生物标志物组合成一个面板,以提高疾病诊断和预后的准确性和效果。检测多种分析物的传统方法是构建传感器阵列,它由用于不同物种的单个选择性探针的阵列组成。在这项工作中,我们使用癌症生物标志物基质金属蛋白酶 (MMPs) 和解整合素金属蛋白酶 (ADAMs) 作为模型分析物,并将功能化纳米氧化石墨烯 (nGO) 用作传感元件,开发了一种非阵列格式的多重荧光传感器,用于同时测量多种蛋白酶的活性。构建的基于 nGO 的生物传感器快速、灵敏且具有选择性,还成功地对模拟血清样本中的 ADAMs/MMPs 进行了分析。此外,我们表明,联合熵和编程可用于指导实验设计,特别是在从整个 MMPs/ADAMs 家族中选择一组蛋白酶作为合适的生物标志物组方面。我们开发的基于 nGO 的多重传感平台应该在早期癌症检测和诊断中找到有用的应用。