An aptamer‐guided fluorescence polarisation platform for extracellular vesicle liquid biopsy

适体 细胞外小泡 液体活检 生物标志物 癌症生物标志物 化学 检出限 胞外囊泡 计算生物学 纳米技术 计算机科学 微泡 分子生物学 色谱法 癌症 材料科学 生物化学 生物 细胞生物学 基因 遗传学 小RNA
作者
Cuong Viet Pham,Rocky Chowdhury,Shweta Patel,Satendra Kumar Jaysawal,Yingchun Hou,Huo Xu,Lee Jia,Yumei Zhang,Li Wang,Wei Duan,Dongxi Xiang
出处
期刊:Journal of extracellular vesicles [Taylor & Francis]
卷期号:13 (9)
标识
DOI:10.1002/jev2.12502
摘要

Abstract The translation of discoveries on extracellular vesicle (EV) based cancer biomarkers to personalised precision oncology requires the development of robust, sensitive and specific assays that are amenable to adoption in the clinical laboratory. Whilst a variety of elegant approaches for EV liquid biopsy have been developed, most of them remain as research prototypes due to the requirement of a high level of microfabrication and/or sophisticated instruments. Hence, this study is set to develop a simple DNA aptamer‐enabled and fluorescence polarisation‐based homogenous assay that eliminates the need to separate unbound detection ligands from the bound species for EV detection. High specificity is achieved by immobilising EVs with one set of antibodies and subsequently detecting them with a DNA aptamer targeting a distinct EV biomarker. This two‐pronged strategy ensures the removal of most, if not all, non‐EV substances in the input biofluids, including soluble proteins, protein aggregates or non‐vesicular particles, prior to quantifying biomarker‐positive EVs. A limit of detection of 5.0 × 10 6 EVs/mL was achieved with a linear quantification range of 5.0 × 10 8 to 2.0 × 10 10 EVs/mL. Facilitated by a multiple parametric analysis strategy, this aptamer‐guided fluorescence polarisation assay was capable of distinguishing EVs from three different types of solid cancer cells based on quantitative differences in the levels of the same sets of biomarkers on EVs. Given the simplicity of the method and its ease of implementation in automated clinical biochemistry analysers, this assay could be exploited for future EV‐based continuous and real‐time monitoring of the emergence of new macro‐ or micro‐metastasis, cancer progression as well as the response to treatment throughout different stages of cancer management in the clinic.
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