Comparative Analysis of Plasma Extracellular Vesicle Isolation Methods for Purity Assessment and Biomarker Discovery.

IF 3.6 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Alexandra T Star, Melissa Hewitt, Amanpreet Badhwar, Wen Ding, Tammy-Lynn Tremblay, Jennifer J Hill, William G Willmore, Jagdeep K Sandhu, Arsalan S Haqqani
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Abstract

Background: Extracellular vesicles (EVs) are an important source of blood biomarkers and are emerging as next-generation therapeutics. Demonstrating the purity of isolated EVs is essential for applications ranging from proteomics-based biomarker discovery to biomanufacturing. In this study, we systematically evaluated multiple EV isolation methods for plasma and developed a scoring method to identify the approach best suited for proteomics.

Methods: Commonly used enrichment techniques, including size-exclusion chromatography (SEC) and precipitation-based methods, were compared against the starting plasma in terms of particle yield and size, proteomic overlap, depletion of abundant plasma proteins, and enrichment of EV markers and unique proteins. To enable rigorous purity assessment, we established a targeted parallel reaction monitoring (PRM) mass spectrometry assay that quantified key EV markers and contaminant proteins across preparations.

Results: Among the methods tested, SEC showed the greatest enrichment of EV markers and unique proteins, with the lowest level of contaminants, resulting in the highest overall purity scores. SEC also allowed for the detection of EV-free proteins. Other methods, by contrast, performed sub-optimally and were less reliable for proteomics-driven biomarker discovery.

Conclusions: SEC provides the most EV-enriched plasma isolates for proteomics information, with minimal contamination from plasma proteins. The PRM-based purity scoring offers an objective means of benchmarking EV preparations and may help standardize EV isolation quality for both biomarker discovery and therapeutic manufacturing.

血浆细胞外囊泡分离方法纯度评估与生物标志物发现的比较分析。
背景:细胞外囊泡(EVs)是血液生物标志物的重要来源,正在成为下一代治疗手段。证明分离ev的纯度对于从基于蛋白质组学的生物标志物发现到生物制造等应用至关重要。在这项研究中,我们系统地评估了多种血浆EV分离方法,并开发了一种评分方法来确定最适合蛋白质组学的方法。方法:将常用的富集技术,包括粒径排除色谱(SEC)和基于沉淀的方法,与起始血浆在颗粒产量和大小、蛋白质组学重叠、丰富血浆蛋白的消耗、EV标记物和独特蛋白的富集等方面进行比较。为了进行严格的纯度评估,我们建立了一种靶向平行反应监测(PRM)质谱分析方法,定量了各制剂中的关键EV标记物和污染物蛋白。结果:在所测试的方法中,SEC对EV标记物和独特蛋白的富集程度最高,污染物水平最低,总体纯度得分最高。SEC还允许检测无ev蛋白。相比之下,其他方法在蛋白质组学驱动的生物标志物发现中表现不佳,可靠性较差。结论:SEC提供了最多ev富集的血浆分离物,用于蛋白质组学信息,血浆蛋白污染最小。基于prm的纯度评分提供了对EV制剂进行基准测试的客观手段,并可能有助于标准化EV分离质量,用于生物标志物的发现和治疗制造。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proteomes
Proteomes Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.50
自引率
3.00%
发文量
37
审稿时长
11 weeks
期刊介绍: Proteomes (ISSN 2227-7382) is an open access, peer reviewed journal on all aspects of proteome science. Proteomes covers the multi-disciplinary topics of structural and functional biology, protein chemistry, cell biology, methodology used for protein analysis, including mass spectrometry, protein arrays, bioinformatics, HTS assays, etc. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of papers. Scope: -whole proteome analysis of any organism -disease/pharmaceutical studies -comparative proteomics -protein-ligand/protein interactions -structure/functional proteomics -gene expression -methodology -bioinformatics -applications of proteomics
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