呋喃基蛋白生物素化分析细胞表面体。

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Esperanza Fernández, Laia Miret-Casals, Annemieke Madder, Kris Gevaert
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引用次数: 0

摘要

细胞表面小体对细胞内稳态和通讯至关重要,其表面蛋白充当受体、转运体和酶。然而,由于膜蛋白的疏水性和低丰度,表面体的综合分析具有挑战性,导致其在基于质谱的蛋白质组学数据中代表性不足。本研究开发了一种利用呋喃化学分析细胞表面体的新方法。我们合成了6个呋喃生物素化合物(FB1- fb6),并证明了FB1与赖氨酸和半胱氨酸发生反应。经呋喃氧化活化后,FB1对细胞表面蛋白表现出最高的染色强度和特异性。生物素化蛋白的下拉进一步证实了FB1富集细胞表面蛋白的效率,并且与使用n -羟基琥珀酰亚胺酯的生物素化方法相比,FB1还被发现减少了细胞内蛋白的非特异性标记。因此,我们的方法为细胞表面体的无偏、高特异性蛋白质组学研究提供了一个强大的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Profiling the Cellular Surfaceome by Furan-Based Protein Biotinylation.

The cellular surfaceome is crucial for cellular homeostasis and communication, with surface proteins acting as receptors, transporters, and enzymes. However, comprehensive analysis of the surfaceome is challenging due to the hydrophobic nature and low abundance of membrane proteins, leading to their underrepresentation in mass spectrometry-based proteomics data. This study exploits a novel method for profiling the cellular surfaceome using furan chemistry. We synthesized six furan-biotin compounds (FB1-FB6) and showed that FB1 reacts with lysine and cysteine. Upon furan activation by oxidation, FB1 exhibited the highest staining intensity and specificity for cell surface proteins. Pull-downs of biotinylated proteins further confirmed the efficiency of FB1 in enriching cell surface proteins, and FB1 was also found to reduce nonspecific labeling of intracellular proteins compared to biotinylation methods using N-hydroxysuccinimide esters. Our method thus provides a robust tool for unbiased, high-specificity proteomic studies of cell surfaceomes.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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