排除尺寸层析和超离心的结合改善了血浆来源的细胞外小泡的蛋白质组学分析。

IF 3.7 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Biological Procedures Online Pub Date : 2020-06-23 eCollection Date: 2020-01-01 DOI:10.1186/s12575-020-00125-5
Rui Wei, Libo Zhao, Guanyi Kong, Xiang Liu, Shengtao Zhu, Shutian Zhang, Li Min
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引用次数: 1

摘要

背景:循环小细胞外囊泡(sev)及其相关蛋白在许多疾病的早期检测中具有重要意义。然而,血浆sev分离没有金标准,特别是蛋白质组学分析,这可能在很大程度上受到污染的影响,如脂蛋白和血浆蛋白。以往的研究表明,不同sev分离方法的组合可以提高分离产物的收率和纯度。然而,从蛋白质组学的角度来看,没有对尺寸排除色谱法(SEC)、超离心法(UC)及其组合进行系统评价。结果:采集健康人血浆样本,分别采用一步SEC法、一步UC法、SEC联合UC法分离sev。在这里,我们展示了与传统UC相比,SEC提高了sev的纯度。此外,通过在UC之后进行SEC程序,我们以最高纯度分离了sev。在蛋白质组学分析中,我们分离的血浆sev中鉴定出992种蛋白质,其中一些蛋白质是sev相关蛋白,但在以往的研究和数据库中从未被鉴定过,远远超过单独使用UC(453)或SEC(682)分离的血浆sev。与Vesiclepedia和Exocarta数据库相比,新方法分离的血浆sev保留了584种先前鉴定的sev相关蛋白和360种以前未检测到的其他蛋白。详细分析表明,与一步UC/SEC分离方法相比,新分离方法可在血浆sev中鉴定出更多类型的sev生物标志物,如CD9、ALIX和FLOT1。此外,与一步UC/SEC相比,我们的新方法获得的sev组分中常见污染物(如脂蛋白和IgG链)的丰度较低,这也表明sev的纯度得到了提高。结论:SEC与UC结合可显著提高质谱分析血浆源性sev的蛋白质组学分析性能。
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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Combination of Size-Exclusion Chromatography and Ultracentrifugation Improves the Proteomic Profiling of Plasma-Derived Small Extracellular Vesicles.

Background: Circulating small extracellular vesicles (sEVs) and its associated proteins are of great interest in the early detection of many diseases. However, there is no gold standard for plasma sEVs isolation, especially for proteomic profiling which could be largely affected by contamination such as lipoproteins and plasma proteins. Previous studies suggested combinations of different sEVs isolation methods could improve the yield and purity of the isolated fractions. Nevertheless, there is no systematic evaluation of size-exclusion chromatography (SEC), ultracentrifugation (UC), and their combination in a proteomic perspective.

Results: Plasma samples were collected from healthy individuals, and sEVs were separated by one-step SEC, one-step UC, and combining SEC with UC, respectively. Here we exhibited that the purity of sEVs was improved by SEC in contrast to traditional UC. Furthermore, by conducting a SEC procedure followed by UC, we separated sEVs with the highest purity. In the proteomic analysis, 992 protein species were identified in the plasma sEVs isolated by our novel separation method, of which several proteins are sEVs-associated proteins but hitherto never been identified in the previous studies and database, much more than plasma sEVs isolated by UC (453) or SEC (682) alone. As compared to Vesiclepedia and Exocarta databases, plasma sEVs isolated by the new procedure kept 584 previously identified sEVs-associated proteins and 360 other proteins that have not been detected before. Detailed analysis suggested that more kinds of sEVs biomarkers, such as CD9, ALIX, and FLOT1, could be identified in plasma sEVs isolated by the novel isolation method as compared to one-step UC/SEC. Furthermore, the lower abundance ranks of common contaminants, such as lipoproteins and IgG chains, in the sEVs fractions obtained by our new method as compared to one-step UC/SEC also demonstrated the purity of sEVs had been improved.

Conclusions: Combining SEC with UC could significantly improve the performance of mass spectrometry-based proteomic profiling in analyzing plasma-derived sEVs.

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来源期刊
Biological Procedures Online
Biological Procedures Online 生物-生化研究方法
CiteScore
10.50
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: iological Procedures Online publishes articles that improve access to techniques and methods in the medical and biological sciences. We are also interested in short but important research discoveries, such as new animal disease models. Topics of interest include, but are not limited to: Reports of new research techniques and applications of existing techniques Technical analyses of research techniques and published reports Validity analyses of research methods and approaches to judging the validity of research reports Application of common research methods Reviews of existing techniques Novel/important product information Biological Procedures Online places emphasis on multidisciplinary approaches that integrate methodologies from medicine, biology, chemistry, imaging, engineering, bioinformatics, computer science, and systems analysis.
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