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用于超低样品的小型细胞外囊泡的快速和深度蛋白质组学分析。

Rapid and in-depth proteomic profiling of small extracellular vesicles for ultralow samples.

机构信息

Baker Heart and Diabetes Institute, Melbourne, Australia.

Department of Cardiovascular Research, Translation and Implementation (CaRTI), School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, Australia.

出版信息

Proteomics. 2024 Jun;24(11):e2300211. doi: 10.1002/pmic.202300211. Epub 2023 Oct 3.

Abstract

The integration of robust single-pot, solid-phase-enhanced sample preparation with powerful liquid chromatography-tandem mass spectrometry (LC-MS/MS) is routinely used to define the extracellular vesicle (EV) proteome landscape and underlying biology. However, EV proteome studies are often limited by sample availability, requiring upscaling cell cultures or larger volumes of biofluids to generate sufficient materials. Here, we have refined data independent acquisition (DIA)-based MS analysis of EV proteome by optimizing both protein enzymatic digestion and chromatography gradient length (ranging from 15 to 44 min). Our short 15 min gradient length can reproducibly quantify 1168 (from as little as 500 pg of EV peptides) to 3882 proteins groups (from 50 ng peptides), including robust quantification of 22 core EV marker proteins. Compared to data-dependent acquisition, DIA achieved significantly greater EV proteome coverage and quantification of low abundant protein species. Moreover, we have achieved optimal magnetic bead-based sample preparation tailored to low quantities of EVs (0.5 to 1 µg protein) to obtain sufficient peptides for MS quantification of 1908-2340 protein groups. We demonstrate the power and robustness of our pipeline in obtaining sufficient EV proteomes granularity of different cell sources to ascertain known EV biology. This underscores the capacity of our optimised workflow to capture precise and comprehensive proteome of EVs, especially from ultra-low sample quantities (sub-nanogram), an important challenge in the field where obtaining in-depth proteome information is essential.

摘要

强大的单管固相增强样品制备与高效液相色谱-串联质谱(LC-MS/MS)的整合,通常用于定义细胞外囊泡(EV)的蛋白质组图谱及其潜在生物学。然而,EV 蛋白质组学研究通常受到样品可用性的限制,需要扩大细胞培养或增加生物体液的体积,以产生足够的材料。在这里,我们通过优化蛋白质酶解和色谱梯度长度(从 15 分钟到 44 分钟),对 EV 蛋白质组的基于数据非依赖采集(DIA)的 MS 分析进行了改进。我们的 15 分钟短梯度长度可以重复性地定量 1168 种(从少至 500pg EV 肽)到 3882 种蛋白质组(从 50ng 肽),包括 22 种核心 EV 标记蛋白的稳健定量。与数据依赖采集相比,DIA 实现了更高的 EV 蛋白质组覆盖率和低丰度蛋白质种类的定量。此外,我们还实现了最佳的基于磁珠的样品制备,特别适用于低数量的 EV(0.5 至 1µg 蛋白质),以获得足够的肽用于 MS 定量 1908-2340 种蛋白质组。我们展示了我们的流水线在获取不同细胞来源的足够 EV 蛋白质组粒度方面的强大功能和稳健性,以确定已知的 EV 生物学。这突显了我们优化工作流程的能力,特别是从超低样品量(亚纳克级)中获取 EV 精确和全面的蛋白质组,这是该领域的一个重要挑战,因为获得深入的蛋白质组信息至关重要。

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