Advanced extracellular vesicle bioinformatic nanomaterials: from enrichment, decoding to clinical diagnostics

Autor: Yawei Zhang, Liang Zhao, Yaocheng Li, Shuangshuang Wan, Zhiyao Yuan, Guangyue Zu, Fei Peng, Xianguang Ding
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Nanobiotechnology, Vol 21, Iss 1, Pp 1-20 (2023)
Druh dokumentu: article
ISSN: 1477-3155
27128997
DOI: 10.1186/s12951-023-02127-3
Popis: Abstract Extracellular vesicles (EVs) are membrane nanoarchitectures generated by cells that carry a variety of biomolecules, including DNA, RNA, proteins and metabolites. These characteristics make them attractive as circulating bioinformatic nanocabinets for liquid biopsy. Recent advances on EV biology and biogenesis demonstrate that EVs serve as highly important cellular surrogates involved in a wide range of diseases, opening up new frontiers for modern diagnostics. However, inefficient methods for EV enrichment, as well as low sensitivity of EV bioinformatic decoding technologies, hinder the use of EV nanocabinet for clinical diagnosis. To overcome these challenges, new EV nanotechnology is being actively developed to promote the clinical translation of EV diagnostics. This article aims to present the emerging enrichment strategies and bioinformatic decoding platforms for EV analysis, and their applications as bioinformatic nanomaterials in clinical settings.
Databáze: Directory of Open Access Journals
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