在细胞外囊泡 (EV) 蛋白组学中玩 "钉尾巴 "游戏。

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Proteomics Pub Date : 2024-06-20 DOI:10.1002/pmic.202400074
Natalie P. Turner
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引用次数: 0

摘要

细胞外囊泡(EVs)是由脂质双分子层包裹的无核颗粒,通过外泌或直接从质膜出芽的方式从细胞中释放出来。它们含有一系列重要的分子货物,如蛋白质、核酸和脂质,并能将这些货物转移到受体细胞,作为细胞间通信的一种手段。EV研究领域的一个重要范式是,EV货物应能反映来源细胞的生物状态。这种相关性的真实关系或程度受到许多因素的干扰,包括分离或富集 EVs 的多种方法、不同类别 EVs 生物物理特性的重叠以及分析的局限性。这给旨在检测生物流体中低丰度 EV 包被核酸或蛋白质以进行生物标记物研究的研究带来了挑战,同时也是对 EV 蛋白组学状况进行可靠评估的技术障碍,这些蛋白组学状况可能会受到样本类型特异性或疾病相关蛋白形式的影响。提高我们对 EV 生物发生、货物装载和自上而下蛋白质组学发展的认识,可能会引导我们采用先进的方法进行选择性 EV 和分子货物富集,这将有助于 EV 诊断和治疗研究。
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Playing pin-the-tail-on-the-protein in extracellular vesicle (EV) proteomics

Extracellular vesicles (EVs) are anucleate particles enclosed by a lipid bilayer that are released from cells via exocytosis or direct budding from the plasma membrane. They contain an array of important molecular cargo such as proteins, nucleic acids, and lipids, and can transfer these cargoes to recipient cells as a means of intercellular communication. One of the overarching paradigms in the field of EV research is that EV cargo should reflect the biological state of the cell of origin. The true relationship or extent of this correlation is confounded by many factors, including the numerous ways one can isolate or enrich EVs, overlap in the biophysical properties of different classes of EVs, and analytical limitations. This presents a challenge to research aimed at detecting low-abundant EV-encapsulated nucleic acids or proteins in biofluids for biomarker research and underpins technical obstacles in the confident assessment of the proteomic landscape of EVs that may be affected by sample-type specific or disease-associated proteoforms. Improving our understanding of EV biogenesis, cargo loading, and developments in top-down proteomics may guide us towards advanced approaches for selective EV and molecular cargo enrichment, which could aid EV diagnostics and therapeutics research.

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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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