优化基于超速离心的方法,提高血浆衍生细胞外囊泡和颗粒的纯度和蛋白质组剖析深度。

Zurong Wan, Jinghua Gu, Uthra Balaji, Linda Bojmar, Henrik Molina, Søren Heissel, Alexandra E. Pagano, Christopher Peralta, Lee Shaashua, Dorina Ismailgeci, Hope K. Narozniak, Yi Song, William R. Jarnagin, David P. Kelsen, Jaqueline Bromberg, Virginia Pascual, Haiying Zhang
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引用次数: 0

摘要

循环细胞外囊泡和颗粒(EVPs)作为潜在的生物标记物,正被研究用于早期癌症检测、预后和疾病监测。然而,从外周血血浆中分离出来的EVP纯度不高,这给深入分析EVP蛋白质组带来了挑战。在这里,我们比较了从健康捐献者血浆中分离EVP的不同方法的有效性,包括基于超速离心(UC)的方案、基于磷脂酰丝氨酸-Tim4相互作用的亲和捕获(简称 "PS")以及几种商业试剂盒。改进后的 UC 方法增加了 UC 洗涤或尺寸排阻色谱步骤,大大提高了 EVP 的纯度,并能通过蛋白质组质谱检测更多蛋白质,包括许多参与囊泡调节途径的质膜和细胞质蛋白质。在癌症患者血浆标本中再现了这种性能的提高,从而鉴定出了更多不同表达的 EVP 蛋白,从而扩大了潜在生物标记候选物的范围。然而,在提高血浆 EVP 纯度方面,PS 和其他商业试剂盒并不优于基于 UC 的方法。PS 方法会产生大量的污染蛋白,而且对特定 EVP 亚群的富集存在偏差,因此不适合对血浆 EVP 进行蛋白质组学分析。因此,我们对基于 UC 的循环 EVP 分离方案进行了优化,使其能为生物标志物的发现提供进一步的深入蛋白质组分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimization of ultracentrifugation-based method to enhance the purity and proteomic profiling depth of plasma-derived extracellular vesicles and particles

Optimization of ultracentrifugation-based method to enhance the purity and proteomic profiling depth of plasma-derived extracellular vesicles and particles

Circulating extracellular vesicles and particles (EVPs) are being investigated as potential biomarkers for early cancer detection, prognosis, and disease monitoring. However, the suboptimal purity of EVPs isolated from peripheral blood plasma has posed a challenge of in-depth analysis of the EVP proteome. Here, we compared the effectiveness of different methods for isolating EVPs from healthy donor plasma, including ultracentrifugation (UC)-based protocols, phosphatidylserine-Tim4 interaction-based affinity capture (referred to as “PS”), and several commercial kits. Modified UC methods with an additional UC washing or size exclusion chromatography step substantially improved EVP purity and enabled the detection of additional proteins via proteomic mass spectrometry, including many plasma membrane and cytoplasmic proteins involved in vesicular regulation pathways. This improved performance was reproduced in cancer patient plasma specimens, resulting in the identification of a greater number of differentially expressed EVP proteins, thus expanding the range of potential biomarker candidates. However, PS and other commercial kits did not outperform UC-based methods in improving plasma EVP purity. PS yielded abundant contaminating proteins and a biased enrichment for specific EVP subsets, thus unsuitable for proteomic profiling of plasma EVPs. Therefore, we have optimized UC-based protocols for circulating EVP isolation, which enable further in-depth proteomic analysis for biomarker discovery.

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