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采用磺基磷香草醛比色法和拉曼光谱法对细胞外囊泡进行表征。

Characterization of Extracellular Vesicles by Sulfophosphovanillin Colorimetric Assay and Raman Spectroscopy.

机构信息

Institute for Regenerative Medicine, Sechenov University, 119991 Moscow, Russia.

Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia.

出版信息

Front Biosci (Landmark Ed). 2024 Oct 23;29(10):366. doi: 10.31083/j.fbl2910366.

Abstract

BACKGROUND

Detailed characterization of extracellular vesicles (EVs) is crucial for their application in medical diagnostics. However, the complexity of their chemical composition and the heterogeneity of EV populations make their characterization challenging. Here we describe two analytical procedures that can help overcome this challenge.

METHODS

Small EVs were isolated from conditioned cell culture media using ultracentrifugation and characterized using nanoparticle tracking analysis (NTA) and transmission electron microscopy (TEM). Raman spectroscopy was used to assess the overall composition of the isolated samples and lipids extracted from them. Sulfophosphovanillin (SPV) colorimetric assay was used to quantify the contents of lipid.

RESULTS

Six samples of EVs were characterized. The lipid contents measured using SPV assay was in reasonable agreement with the quantitative estimates based on the particle size and concentration measured using NTA. The most peaks observed in the Raman spectra could be attributed to either proteins or lipids, and their origins was confirmed by lipid extraction. The protein-to-lipid ratio was estimated based on the Raman spectra.

CONCLUSIONS

The experiential procedures described in this study will help to overcome the challenge of quick and highly informative characterization of the EVs.

摘要

背景

详细描述细胞外囊泡 (EVs) 的特征对于将其应用于医学诊断至关重要。然而,其化学成分的复杂性和 EV 群体的异质性使得其特征描述具有挑战性。在这里,我们描述了两种可以帮助克服这一挑战的分析程序。

方法

使用超速离心从条件细胞培养介质中分离小细胞外囊泡,并使用纳米颗粒跟踪分析 (NTA) 和透射电子显微镜 (TEM) 对其进行表征。拉曼光谱用于评估分离样品的整体组成和从中提取的脂质。使用硫酸磷钒 (SPV) 比色法来定量脂质含量。

结果

对 6 个 EV 样本进行了特征描述。使用 SPV 测定法测量的脂质含量与基于 NTA 测量的粒径和浓度得出的定量估计值相符。在 Raman 光谱中观察到的大多数峰可归因于蛋白质或脂质,并且通过脂质提取确认了它们的来源。基于 Raman 光谱估计了蛋白质与脂质的比例。

结论

本研究中描述的经验程序将有助于克服快速、高度信息EV 特征描述的挑战。

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