利用基于排除法的样品制备技术提取氧化还原细胞外囊泡。

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Mohammad Dehghan Banadaki, Nicole G Rummel, Spencer Backus, David Allan Butterfield, Daret K St Clair, James M Campbell, Weixiong Zhong, Kristy Mayer, Scott M Berry, Luksana Chaiswing
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引用次数: 0

摘要

研究癌症衍生的细胞外囊泡 (EV) 的特定亚群有助于揭示它们在癌症进展中的作用。癌症患者体内活性氧(ROS)增加,导致脂质过氧化,其主要产物为 4-hydroxynonenal (HNE)。HNE 的诱导作用会改变蛋白质的结构,导致功能丧失。将携带这些被 HNE 还原的蛋白质的 EV 作为货物进行漂白,或在 EV 膜上携带被 HNE 还原的蛋白质,是细胞清除这些分子的方法。我们将这些 EV 称为氧化还原 EV。在这里,我们利用一种表面张力介导的提取过程(称为基于排阻的样品制备(ESP)),从人类胶质母细胞瘤细胞系 LN18 的混合 EVs 群中快速、高效地分离出完整的氧化还原 EVs。在对不同参数进行优化后,分析了两组EVs,即从样品中分离出的EVs(氧化还原EVs)和原始样品中残留的EVs(剩余EVs)。电子显微镜成像证实了氧化还原型 EV 外叶上存在 HNE 加合物。此外,HNE加成的Redox EVs群体与Remaining EVs群体显示出明显不同的特征,包括体积更小的EVs和zeta电位更负的EVs。我们进一步用Remaining和Redox EV群处理了胶质母细胞瘤细胞(LN18)、抗辐射胶质母细胞瘤细胞(RR-LN18)和正常人星形胶质细胞(NHA)。我们的研究结果表明,Redox EVs 可能通过产生 H2O2 促进胶质母细胞瘤细胞的生长,并对正常星形胶质细胞造成伤害。相比之下,剩余EV对胶质母细胞瘤细胞和正常星形胶质细胞的活力影响很小。因此,利用基于 ESP 的免疫亲和来分离 EVs 亚群,可以为更深入地从机理上了解 EVs 亚型(如含有 HNE 诱导蛋白的 EVs)如何诱导吸收这些 EVs 的细胞发生生物学变化铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Extraction of redox extracellular vesicles using exclusion-based sample preparation.

Extraction of redox extracellular vesicles using exclusion-based sample preparation.

Studying specific subpopulations of cancer-derived extracellular vesicles (EVs) could help reveal their role in cancer progression. In cancer, an increase in reactive oxygen species (ROS) happens which results in lipid peroxidation with a major product of 4-hydroxynonenal (HNE). Adduction by HNE causes alteration to the structure of proteins, leading to loss of function. Blebbing of EVs carrying these HNE-adducted proteins as a cargo or carrying HNE-adducted on EV membrane are methods for clearing these molecules by the cells. We have referred to these EVs as Redox EVs. Here, we utilize a surface tension-mediated extraction process, termed exclusion-based sample preparation (ESP), for the rapid and efficient isolation of intact Redox EVs, from a mixed population of EVs derived from human glioblastoma cell line LN18. After optimizing different parameters, two populations of EVs were analyzed, those isolated from the sample (Redox EVs) and those remaining in the original sample (Remaining EVs). Electron microscopic imaging was used to confirm the presence of HNE adducts on the outer leaflet of Redox EVs. Moreover, the population of HNE-adducted Redox EVs shows significantly different characteristics to those of Remaining EVs including smaller size EVs and a more negative zeta potential EVs. We further treated glioblastoma cells (LN18), radiation-resistant glioblastoma cells (RR-LN18), and normal human astrocytes (NHA) with both Remaining and Redox EV populations. Our results indicate that Redox EVs promote the growth of glioblastoma cells, likely through the production of H2O2, and cause injury to normal astrocytes. In contrast, Remaining EVs have minimal impact on the viability of both glioblastoma cells and NHA cells. Thus, isolating a subpopulation of EVs employing ESP-based immunoaffinity could pave the way for a deeper mechanistic understanding of how subtypes of EVs, such as those containing HNE-adducted proteins, induce biological changes in the cells that take up these EVs.

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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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