微泡
小RNA
对偶(语法数字)
追踪
仿形(计算机编程)
计算生物学
生物
DNA条形码
表面蛋白
细胞生物学
计算机科学
进化生物学
基因
艺术
病毒学
文学类
操作系统
遗传学
作者
Yan‐Mei Lei,Xiaochen Fei,Yue Ding,Guihua Zhang,Jia Song,Ying Zhuo,Wei Xue,Peng Zhang,Chaoyong Yang
出处
期刊:Research Square
日期:2023-02-02
被引量:4
标识
DOI:10.21203/rs.3.rs-2404819/v1
摘要
Abstract MicroRNAs (miRNAs) have been extensively studied as non-invasive biomarkers for cancer diagnosis and prognosis, while the clinical application was constrained by the heterogeneous miRNA sources in plasma and the tedious assay processes. Here we developed a one-pot assay called dual-Surface-protein-guided Orthogonal Recognition of Tumor-derived Exosomes and in-situ profiling of microRNAs (SORTER) for rapid and precise diagnosis of prostate cancer. The SORTER utilizes the orthogonal barcoding of two allosteric aptamers against exosomal marker CD63 and tumor marker EpCAM to recognize and sort tumor-derived exosome subtypes. Furthermore, the labeled barcode on tumor-derived exosomes guided the targeted fusion with liposome miRNA detection probes, enabling in-situ profiling of tumor-derived exosomal miRNAs. With a signature of six miRNAs, SORTER differentiated prostate cancer and benign prostatic hyperplasia with a sensitivity, specificity, and accuracy of 100% in the training and validation cohorts. The SORTER provides a promising tool to advance the clinical adaptability of miRNA-based liquid biopsy.
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