化学
亚型
同种类的
适体
生物传感器
细胞外小泡
细胞外
鉴定(生物学)
生物物理学
胞外囊泡
计算生物学
电化学
纳米技术
DNA
液体活检
膜
小泡
细胞外基质
分子探针
小分子
癌细胞
组合化学
分子识别
杂交探针
光热治疗
细胞内
生物化学
细胞生物学
生物系统
作者
Limin Yang,Huilin Tan,Yujue Wang,Jingang Zhang,Xiangyu Meng,Xiaojuan Liu,Ting Hou,W. Y. Chen,Feng Li
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2026-03-23
卷期号:98 (13): 10103-10111
被引量:19
标识
DOI:10.1021/acs.analchem.6c00448
摘要
Accurate identification and profiling of multiple protein biomarkers on tumor-derived extracellular vesicles (tEVs) are crucial for noninvasive cancer subtyping diagnosis but remain technically challenging due to their high heterogeneity, low abundance in biofluids, and preisolation/purification processes. Herein, we developed a homogeneous electrochemical biosensor empowered by fluidly confined CRISPR-magnetic microbots for the amplified detection and sensitive discrimination of tEV subtypes. The CRISPR-magnetic microbots were constructed by engineering CRISPR/Cas12a and DNA icosahedra/doxorubicin (DNA-ICOS/DOX) on intracellularly gelated magnetic cells (IGMCs). Benefiting from the synergistic effects of spatial confinement and membrane fluidity to elevate the local concentration and collision efficiency, the activity of CRISPR/Cas12a was found to be greatly enhanced on IGMCs. For selective sorting of tEVs, a logic-gated aptamer system was used to orthogonally label tEV subpopulations, which further triggers the trans-cleavage activity of CRISPR/Cas12a, resulting in the release of massive DNA-ICOS/DOX into solution. After magnetic separation, the liberated DOX molecules generate a strong electrochemical signal. Particularly, the CRISPR-magnetic microbots could efficiently reduce the background signal, endowing a significantly improved signal-to-noise ratio. Therefore, by combining the CRISPR-magnetic microbots with the dual-target-guided orthogonal barcoding strategy in a homogeneous electrochemical biosensor, precise identification and sensitive detection of tEVs were successfully achieved. More significantly, this assay achieves accurate cancer subtyping in clinical samples, demonstrating its potential as a robust, noninvasive tool for high-accuracy disease screening, classification, and progression monitoring.
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