Integrated technologies for molecular profiling of genetic and modified biomarkers in extracellular vesicles

Abstract

Extracellular vesicles (EVs) are nanoscale membrane vesicles actively released by cells into a variety of biofluids. EVs carry myriad molecular cargoes; these include classical genetic biomarkers inherited from the parent cells as well as EV modifications by other entities (e.g., small molecule drugs). Aided by these diverse cargoes, EVs enable long-distance intercellular communication and have been directly implicated in various disease pathologies. As such, EVs are being increasingly recognized as a source of valuable biomarkers for minimally-invasive disease diagnostics and prognostics. Despite the clinical potential, EV molecular profiling remains challenging, especially in clinical settings. Due to the nanoscale dimension of EVs as well as the abundance of contaminants in biofluids, conventional EV detection methods have limited resolution, require extensive sample processing and can lose rare biomarkers. To address these challenges, new micro- and nanotechnologies have been developed to discover EV biomarkers and empower clinical applications. In this review, we introduce EV biogenesis for different cargo incorporation, and discuss the use of various EV biomarkers for clinical applications. We also assess different chip-based integrated technologies developed to measure genetic and modified biomarkers in EVs. Finally, we highlight future opportunities in technology development to facilitate the clinical translation of various EV biomarkers.

Graphical abstract: Integrated technologies for molecular profiling of genetic and modified biomarkers in extracellular vesicles

Article information

Article type
Critical Review
Submitted
15 Jan 2025
Accepted
11 Mar 2025
First published
21 Mar 2025
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2025, Advance Article

Integrated technologies for molecular profiling of genetic and modified biomarkers in extracellular vesicles

L. Zhang, C. Y. Wong and H. Shao, Lab Chip, 2025, Advance Article , DOI: 10.1039/D5LC00053J

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