Immune capture and protein profiling of small extracellular vesicles from human plasma

IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2023-09-15 DOI:10.1002/pmic.202300180
Łukasz Skoczylas, Marta Gawin, Daniel Fochtman, Piotr Widłak, Theresa L. Whiteside, Monika Pietrowska
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引用次数: 0

Abstract

Extracellular vesicles (EVs), the key players in inter-cellular communication, are produced by all cell types and are present in all body fluids. Analysis of the proteome content is an important approach in structural and functional studies of these vesicles. EVs circulating in human plasma are heterogeneous in size, cellular origin, and functions. This heterogeneity and the potential presence of contamination with plasma components such as lipoprotein particles and soluble plasma proteins represent a challenge in profiling the proteome of EV subsets by mass spectrometry. An immunocapture strategy prior to mass spectrometry may be used to isolate a homogeneous subpopulation of small EVs (sEV) with a specific endocytic origin from plasma or other biofluids. Immunocapture selectively separates EV subpopulations in biofluids based on the presence of a unique protein carried on the vesicle surface. The advantages and disadvantages of EV immune capture as a preparative step for mass spectrometry are discussed.

Abstract Image

人血浆中细胞外小泡的免疫捕获和蛋白质图谱。
细胞外小泡是细胞间通讯的关键参与者,由所有细胞类型产生,并存在于所有体液中。蛋白质组含量分析是研究这些囊泡结构和功能的重要方法。在人类血浆中循环的EVs在大小、细胞来源和功能上都是异质的。这种异质性和血浆成分(如脂蛋白颗粒和可溶性血浆蛋白)污染的潜在存在,代表了通过质谱分析EV亚群蛋白质组的挑战。质谱分析之前的免疫捕获策略可用于从血浆或其他生物流体中分离具有特定内吞来源的小EV(sEV)的同质亚群。免疫捕获基于囊泡表面携带的独特蛋白质的存在,选择性地分离生物流体中的EV亚群。讨论了EV免疫捕获作为质谱分析的制备步骤的优缺点。
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
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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