外体
化学
适体
微泡
上皮细胞粘附分子
癌症生物标志物
癌症
表皮生长因子受体
纳米技术
分子生物学
生物化学
受体
细胞
小RNA
基因
生物
材料科学
遗传学
作者
Lei Ding,Lie Liu,Leiliang He,Clement Yaw Effah,Ruirui Yang,D. Ouyang,Ningge Jian,Xia Liu,Yongjun Wu,Lingbo Qu
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2021-11-01
卷期号:93 (45): 15200-15208
被引量:17
标识
DOI:10.1021/acs.analchem.1c03957
摘要
Exosome concentration and exosomal proteins are regarded as promising cancer biomarkers. Herein, a waxberry-like magnetic bead (magnetic-nanowaxberry) which has huge surface area and strong affinity was synthesized to couple with aptamer for exosome capture and recovery. Subsequently, we developed a fluorescent assay for the sensitive, accurate, and simultaneous quantification of exosome and cancer-related exosomal proteins [epidermal growth factor receptor (EGFR) and epithelial cell adhesion molecule (EpCAM)] by using triple-colored probes to recognize EGFR and EpCAM or spontaneously anchor to the lipid bilayer. In this design, the interference of soluble proteins can be avoided due to the dual recognition strategy. Moreover, the lipid-based quantification of exosome concentration can improve the accuracy. Besides, the simultaneous detection mode can save samples and simplify the operation steps. Consequently, the assay shows high sensitivity (the limits of detection are down to 0.96 pg/mL for EGFR, 0.19 pg/mL for EpCAM, and 2.4 × 104 particles/μL for exosome), high specificity, and satisfactory accuracy. More importantly, this technique is successfully used to analyze exosomes in plasma to distinguish cancer patients from healthy individuals. To improve the diagnostic efficacy, the deep learning was used to exploit the potential pattern hidden in data obtained by the proposed method. Also, the accuracy for the intelligent diagnosis of cancer can achieve 96.0%. This study provides a new avenue for developing new biosensors for exosome analysis and intelligent disease diagnosis.
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