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使用定量蛋白质组学解析糖蛋白的特性和功能。

Deciphering the Properties and Functions of Glycoproteins Using Quantitative Proteomics.

出版信息

J Proteome Res. 2023 Jun 2;22(6):1571-1588. doi: 10.1021/acs.jproteome.3c00015. Epub 2023 Apr 3.

DOI:10.1021/acs.jproteome.3c00015
PMID:37010087
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10243117/
Abstract

Glycosylation is one of the most common and important protein modifications, and it regulates the properties and functions of a wide range of proteins. Aberrant glycosylation is directly related to human diseases. Recently, with the advancement of mass spectrometry (MS) instrumentation and MS-based glycoproteomic methods, global characterization of glycoproteins in complex biological samples has become possible. Using quantitative proteomics, the abundance of glycoproteins in different samples can be quantified, which provides a wealth of information to further our understanding of protein functions, cellular activities, and the molecular mechanisms of diseases. In this review, we discuss quantitative proteomic methods used for comprehensive analysis of protein glycosylation, and cover the applications of quantitative glycoproteomics to unveil the properties and functions of glycoproteins and their association with various diseases. It is expected that quantitative proteomic methods will be extensively applied to explore the role of protein glycosylation in complex biological systems, and to identify glycoproteins as biomarkers for disease detection and as therapeutic targets for disease treatment.

摘要

糖基化是最常见和最重要的蛋白质修饰之一,它调节广泛的蛋白质的性质和功能。异常的糖基化与人类疾病直接相关。最近,随着质谱(MS)仪器和基于 MS 的糖蛋白质组学方法的进步,对复杂生物样品中的糖蛋白进行全面表征成为可能。使用定量蛋白质组学,可以定量不同样品中的糖蛋白丰度,这为进一步了解蛋白质功能、细胞活动和疾病的分子机制提供了丰富的信息。在这篇综述中,我们讨论了用于全面分析蛋白质糖基化的定量蛋白质组学方法,并介绍了定量糖蛋白质组学在揭示糖蛋白的性质和功能及其与各种疾病的关联方面的应用。预计定量蛋白质组学方法将广泛应用于探索蛋白质糖基化在复杂生物系统中的作用,并将糖蛋白鉴定为疾病检测的生物标志物和疾病治疗的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/7a11d45e479d/pr3c00015_0011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/74454cafcfd1/pr3c00015_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/2b747854048a/pr3c00015_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/7a11d45e479d/pr3c00015_0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/217825dd8dfd/pr3c00015_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/2c8f18ebf197/pr3c00015_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/f9afd1a7050b/pr3c00015_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/6fab0741842c/pr3c00015_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/4e721fbaf9f2/pr3c00015_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/266ee2a73e16/pr3c00015_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/ae7a349ffe15/pr3c00015_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/e988f364e0f5/pr3c00015_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/74454cafcfd1/pr3c00015_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/2b747854048a/pr3c00015_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95f3/10243117/7a11d45e479d/pr3c00015_0011.jpg

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