微流控
纳米粒子跟踪分析
离心
小RNA
血小板
纳米技术
胞外囊泡
差速离心
化学
材料科学
微泡
色谱法
生物医学工程
分子生物学
生物化学
生物
医学
免疫学
基因
作者
Sheng Yuan Leong,Wan Wei Lok,Kah Yee Goh,Hong Boon Ong,Hui Min Tay,Chengxun Su,Fang Kong,Megha Upadya,Wei Wang,Enkhtuya Radnaa,Ramkumar Menon,Ming Dao,Rinkoo Dalan,Subra Suresh,Wan‐Teck Lim,Han Wei Hou
出处
期刊:ACS Nano
[American Chemical Society]
日期:2024-02-13
卷期号:18 (8): 6623-6637
被引量:4
标识
DOI:10.1021/acsnano.3c12862
摘要
Cell-free RNAs and extracellular vesicles (EVs) are valuable biomarkers in liquid biopsies, but they are prone to preanalytical variabilities such as nonstandardized centrifugation or ex vivo blood degradation. Herein, we report a high-throughput and label-free inertial microfluidic device (ExoArc) for isolation of platelet-free plasma from blood for RNA and EV analysis. Unlike conventional inertial microfluidic devices widely used for cell sorting, a submicrometer size cutoff (500 nm) was achieved which completely removed all leukocytes, RBCs, platelets, and cellular debris based on differential lateral migration induced by Dean vortices. The single-step operation also reduced platelet-associated miRNAs (∼2-fold) compared to centrifugation. We clinically validated ExoArc for plasma miRNA profiling (39 samples) and identified a 7-miRNA panel that detects non-small cell lung cancer with ∼90% sensitivity. ExoArc was also coupled with size exclusion chromatography (SEC) to isolate EVs within 50 min with ∼10-fold higher yield than ultracentrifugation. As a proof-of-concept for EV-based transcriptomics analysis, we performed miRNA analysis in healthy and type 2 diabetes mellitus (T2DM) subjects (n = 3 per group) by coupling ExoArc and ExoArc+SEC with quantitative polymerase chain reaction (RT-qPCR) assay. Among 293 miRNAs detected, plasmas and EVs showed distinct differentially expressed miRNAs in T2DM subjects. We further demonstrated automated in-line EV sorting from low volume culture media for continuous EV monitoring. Overall, the developed ExoArc offers a convenient centrifugation-free workflow to automate plasma and EV isolation for point-of-care diagnostics and quality control in EV manufacturing.
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