Analysis and Biomedical Applications of Functional Cargo in Extracellular Vesicles.

Extracellular vesicles (EVs) can facilitate essential communication among cells in a range of pathophysiological conditions including cancer metastasis and progression, immune regulation, and neuronal communication. EVs are membrane-enclosed vesicles generated through endocytic origin and contain many cellular components, including proteins, lipids, nucleic acids, and metabolites. Over the past few years, the intravesicular content of EVs has proven to be a valuable biomarker for disease diagnostics, involving cancer, cardiovascular diseases, and central nervous system diseases. This review aims to provide insight into EV biogenesis, composition, function, and isolation, present a comprehensive overview of emerging techniques for EV cargo analysis, highlighting their major technical features and limitations, and summarize the potential role of EV cargos as biomarkers in disease diagnostics. Further, progress and remaining challenges will be discussed for clinical diagnostic outlooks.

A CRISPR/Cas13a-powered catalytic electrochemical biosensor for successive and highly sensitive RNA diagnostics.

Rapid and specific quantitation of a variety of RNAs with low expression levels in early-stage cancer is highly desirable but remains a challenge. Here, we present a dual signal amplification strategy consisting of the CRISPR/Cas13a system and a catalytic hairpin DNA circuit (CHDC), integrated on a reusable electrochemical biosensor for rapid and accurate detection of RNAs. Signal amplification is accomplished through the unique combination of the CRISPR/Cas13a system with CHDC, achieving a limit of detection of 50 aM within a readout time of 6 min and an overall process time of 36 min, using a measuring volume of 10 µL. Enzymatic regeneration of the sensor surface and ratiometric correction of background signal allow up to 37 sequential RNA quantifications by square-wave voltammetry on a single biosensor chip without loss of sensitivity. The reusable biosensor platform could selectively (specificity = 0.952) and sensitively (sensitivity = 0.900) identify low expression RNA targets in human serum, distinguishing early-stage patients (n = 20) suffering from non-small-cell lung carcinoma (NSCLC) from healthy subjects (n = 30) and patients with benign lung disease (n = 12). Measurement of six NSCLC-related RNAs (miR-17, miR-155, TTF-1 mRNA, miR-19b, miR-210 and EGFR mRNA) shows the ability of the electrochemical CRISPR/CHDC system to be a fast, low-cost and highly accurate tool for early cancer diagnostics.