近日，中国科学院大学教授Jiashu Sun及其研究小组的研究开发热泳介导DNA计算用于肿瘤衍生细胞外囊泡的分子识别。 这一研究成果于2021年1月17日发表在国际顶尖学术期刊《美国化学会杂志》上。

据了解，肿瘤来源的细胞外囊泡（tEV）的分子分析为非侵入性癌症诊断提供了广阔的前景。然而，反映不同细胞起源的EV表型的异质性挑战了对tEV灵敏而准确的鉴定。

该课题组研究人员提出了由热泳介导的DNA计算设备，用于检测tEVs。该策略利用基于核酸适配体的逻辑门，使用单个EVs的多种蛋白标记作为输入，并用热泳累计放大输出信号，实现tEVs的高灵敏度和特异性的分析。采用该平台，研究人员展示了对于分辨一临床队列（n=30）中的乳腺癌（BC）病人以及健康人，可实现97%的高准确率。

此外，通过评估tEV进行分子表型分析的结果和BC病人组织病理学的结果相一致。针对EVs的热泳介导的分子计算为癌症的准确检测和分类提供了新的机会。

附：英文原文

Title: Molecular Identification of Tumor-Derived Extracellular Vesicles Using Thermophoresis-Mediated DNA Computation

Author: Yike Li, Jinqi Deng, Ziwei Han, Chao Liu, Fei Tian, Rui Xu, Da Han, Shaohua Zhang, Jiashu Sun

Issue&Volume: January 17, 2021

Abstract: Molecular profiling of tumor-derived extracellular vesicles (tEVs) holds great promise for non-invasive cancer diagnosis. However, sensitive and accurate identification of tEVs is challenged by the heterogeneity of EV phenotypes which reflect different cell origins. Here we present a DNA computation device mediated by thermophoresis for detection of tEVs. The strategy leverages the aptamer-based logic gate using multiple protein biomarkers on single EVs as the input and thermophoretic accumulation to amplify the output signals for highly sensitive and specific profiling of tEVs. Employing this platform, we demonstrate a high accuracy of 97% for discrimination of breast cancer (BC) patients and healthy donors in a clinical cohort (n = 30). Furthermore, molecular phenotyping assessed by tEVs is in concordance with the results from tissue biopsy in BC patients. The thermophoresis-mediated molecular computation on EVs thus provides new opportunities for accurate detection and classification of cancers.

DOI: 10.1021/jacs.0c12016

Source: https://pubs.acs.org/doi/10.1021/jacs.0c12016