核糖核酸
亚型
小RNA
微流控
计算生物学
传感器
胶质母细胞瘤
脑瘤
信使核糖核酸
纳米技术
化学
材料科学
计算机科学
生物
基因
生物化学
医学
癌症研究
物理
病理
量子力学
程序设计语言
作者
Yan Zhang,Chi Yan Wong,Carine Z. J. Lim,Qingchang Chen,Z.G. Yu,Auginia Natalia,Zhigang Wang,Qing You Pang,See Wee Lim,Tze Ping Loh,Beng Ti Ang,Carol Tang,Huilin Shao
标识
DOI:10.1038/s41467-023-39844-0
摘要
Current technologies to subtype glioblastoma (GBM), the most lethal brain tumor, require highly invasive brain biopsies. Here, we develop a dedicated analytical platform to achieve direct and multiplexed profiling of circulating RNAs in extracellular vesicles for blood-based GBM characterization. The technology, termed 'enzyme ZIF-8 complexes for regenerative and catalytic digital detection of RNA' (EZ-READ), leverages an RNA-responsive transducer to regeneratively convert and catalytically enhance signals from rare RNA targets. Each transducer comprises hybrid complexes - protein enzymes encapsulated within metal organic frameworks - to configure strong catalytic activity and robust protection. Upon target RNA hybridization, the transducer activates directly to liberate catalytic complexes, in a target-recyclable manner; when partitioned within a microfluidic device, these complexes can individually catalyze strong chemifluorescence reactions for digital RNA quantification. The EZ-READ platform thus enables programmable and reliable RNA detection, across different-sized RNA subtypes (miRNA and mRNA), directly in sample lysates. When clinically evaluated, the EZ-READ platform established composite signatures for accurate blood-based GBM diagnosis and subtyping.
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