Size-Dependent Separation of Extracellular Vesicle Subtypes with Exodisc Enabling Proteomic Analysis in Prostate Cancer.

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2025-01-28 DOI:10.1021/acs.jproteome.4c00945
Hyun-Kyung Woo, Hee-Sung Ahn, Juhee Park, Jonghoon Bae, Bokyung Kim, Jiyoung Yu, Jeong Kon Seo, Kyunggon Kim, Yoon-Kyoung Cho
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引用次数: 0

Abstract

Extracellular vesicles (EVs) are emerging as crucial biomarkers in cancer diagnostics and therapeutics with their heterogeneity presenting both challenges and opportunities in prostate cancer research. However, existing methods for isolating and characterizing EV subtypes have been limited by inefficient separation and inadequate proteomic analysis. Here we show an optimized centrifugal microfluidic device, Exodisc, that efficiently isolates large quantities of EV subtypes from particle-enriched medium, enabling comprehensive proteomic analysis of small (EV-S, 20-200 nm) and large (EV-L, >200 nm) EVs. Using this device, we successfully separated EV-S and EV-L from prostate cancer cell lines LNCaP and PC3. Mass spectrometry-based proteomics revealed that EV proteins reflect parental cell characteristics more than EV size, with EV-L demonstrating increased expression of PSMA-correlated proteins. Our optimized protocol addresses challenges in EV isolation and characterization, providing a more effective method for studying cellular and molecular mechanisms of specific EV subtypes. This study extends the potential use of EVs as a liquid biopsy for cancer theranostics, paving the way for more precise isolation of EV subtypes and potentially leading to improved biomarker discovery and the development of personalized treatments.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
期刊最新文献
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