Facile fluorescent aptasensor using aggregation-induced emission luminogens for exosomal proteins profiling towards liquid biopsy

荧光 液体活检 化学 聚集诱导发射 仿形(计算机编程) 色谱法 纳米技术 材料科学 生物 计算机科学 遗传学 量子力学 操作系统 物理 癌症
作者
Bo Li,Chunchen Liu,Weilun Pan,Jianlei Shen,Jingyun Guo,Tingting Luo,Junjie Feng,Bo Situ,Taixue An,Ye Zhang,Lei Zheng
出处
期刊:Biosensors and Bioelectronics [Elsevier]
卷期号:168: 112520-112520 被引量:73
标识
DOI:10.1016/j.bios.2020.112520
摘要

Surface protein patterns of tumor-derived exosomes could be promising noninvasive diagnostic biomarkers for liquid biopsy. However, a convenient and cost-effective platform for exosomal protein profiling is still lacking. Herein, a facile fluorescent aptasensor is developed to assess exosomal tumor-associated proteins, combining aptamers, aggregation-induced emission luminogens (AIEgens), and graphene oxide (GO) as recognition elements, fluorescent dye, and the quencher, respectively. Specifically, numberous TPE-TAs could bind one aptamer and form aggregates rapidly, resulting in an amplified fluorescence signal. In the absence of tumor-derived exosomes, GO absorbs the TPE-TAs/aptamer complex, allowing fluorescence quenching. When the target exosomes are introduced, the aptamer preferentially binds with its target. Thus the TPE-TAs/aptamer complexes detach from GO surface, followed by the appearance of a “turn-on” fluorescent signal. Under the optimized conditions, the linear range of target exosomes is estimated to be 4.07 × 105 to 1.83 × 107 particles/μL (0.68–30.4 pM) with a detection limit of 3.43 × 105 particles/μL (0.57 pM). This strategy demonstrated great performance in differentiating prostate cancer from healthy individuals (AUC: 0.9790). Furthermore, by profiling three tumor-associated protein markers including epidermal growth factor receptor (EGFR), epithelial cell adhesion molecule (EpCAM), and human epidermal growth factor receptor 2 (HER2) on exosomes in a breast tumor cohort, this sensing platform diagnoses breast tumors with high efficiency (AUC: 0.9845) and exhibits a high sensitivity of 97.37% for distinguishing malignant breast cancers, where the stage I cases were detected with 92.31% sensitivity. Therefore, this aptasensor provides a promising strategy to profile tumor-derived exosomal proteins for early diagnosis in liquid biopsy.
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