基于细胞介质的高灵敏度细胞外囊泡蛋白质组学的新颖PPT+SEC工作流程

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Asia Botto, Chiara De Cesari, Noa Ndimurwanko, Francesco Finamore, Francesco Greco, Valentina Cappello, Valentina Casieri, Benoit Immordino, Vincenzo Lionetti, Mauro Gemmi, Ilaria Tonazzini, Elisa Giovannetti, Liam A McDonnell
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引用次数: 0

摘要

尺寸排除色谱(SEC)是一种成熟的分离细胞外囊泡(ev)的方法,但大洗脱量需要在蛋白质组学分析之前进行浓缩步骤。这一浓缩步骤可导致显著的EV损失。在这里,我们报告了一种EV蛋白质组学方法,该方法可以将EV分离到仅80 μL,这与蛋白质组学分析直接兼容,而无需事先浓度。透射电镜、Western blot和纳米颗粒跟踪分析证实了小ev的存在。对ev进行蛋白质组学分析,并使用自动化UHPLC-SEC平台与分离的ev进行基准比对。新的工作流程鉴定出更多的蛋白质和更多的EV标记物,包括来自excarta数据库的100个顶级外泌体蛋白中的96个,而使用UHPLC-SEC分离的EV样品鉴定出91个。当应用于从胰腺癌细胞系中分离的EV时,该工作流程对先前报道的胰腺癌EV标记物具有更高的敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel PPT+SEC Workflow for High-Sensitivity Extracellular Vesicle Proteomics from Cell Media.

Size exclusion chromatography (SEC) is a well-established method for the isolation of extracellular vesicles (EVs), but the large elution volumes necessitate a concentration step prior to proteomics analysis. This concentration step can lead to a significant EV loss. Here we report an EV proteomics approach that enables the isolation of EVs into just 80 μL, which is directly compatible with proteomics analysis without the need for a prior concentration. EVs were characterized by transmission electron microscopy, Western blot, and nanoparticle tracking analysis, all of which confirmed the presence of small EVs. Proteomics analysis of the EVs was performed and benchmarked against those isolated by using an automated UHPLC-SEC platform. The novel workflow identified more proteins and more EV markers, including 96 of the 100 top exosomal proteins from the ExoCarta database, compared to 91 identified using EV samples isolated by UHPLC-SEC. When applied to EVs isolated from pancreatic cancer cell lines, the workflow demonstrated higher sensitivity for previously reported EV markers of pancreatic cancer.

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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".
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