{"title":"基于质谱的表面组动态和组织研究方法:探索潜在的临床意义。","authors":"Xing Xu, Kejun Yin, Senhan Xu, Zeyu Wang, Ronghu Wu","doi":"10.1080/14789450.2024.2314148","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Cell-surface proteins are extremely important for many cellular events, such as regulating cell-cell communication and cell-matrix interactions. Aberrant alterations in surface protein expression, modification (especially glycosylation), and interactions are directly related to human diseases. Systematic investigation of surface proteins advances our understanding of protein functions, cellular activities, and disease mechanisms, which will lead to identifying surface proteins as disease biomarkers and drug targets.</p><p><strong>Areas covered: </strong>In this review, we summarize mass spectrometry (MS)-based proteomics methods for global analysis of cell-surface proteins. Then, investigations of the dynamics of surface proteins are discussed. Furthermore, we summarize the studies for the surfaceome interaction networks. Additionally, biological applications of MS-based surfaceome analysis are included, particularly highlighting the significance in biomarker identification, drug development, and immunotherapies.</p><p><strong>Expert opinion: </strong>Modern MS-based proteomics provides an opportunity to systematically characterize proteins. However, due to the complexity of cell-surface proteins, the labor-intensive workflow, and the limit of clinical samples, comprehensive characterization of the surfaceome remains extraordinarily challenging, especially in clinical studies. Developing and optimizing surfaceome enrichment methods and utilizing automated sample preparation workflow can expand the applications of surfaceome analysis and deepen our understanding of the functions of cell-surface proteins.</p>","PeriodicalId":50463,"journal":{"name":"Expert Review of Proteomics","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10928381/pdf/","citationCount":"0","resultStr":"{\"title\":\"Mass spectrometry-based methods for investigating the dynamics and organization of the surfaceome: exploring potential clinical implications.\",\"authors\":\"Xing Xu, Kejun Yin, Senhan Xu, Zeyu Wang, Ronghu Wu\",\"doi\":\"10.1080/14789450.2024.2314148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Cell-surface proteins are extremely important for many cellular events, such as regulating cell-cell communication and cell-matrix interactions. Aberrant alterations in surface protein expression, modification (especially glycosylation), and interactions are directly related to human diseases. Systematic investigation of surface proteins advances our understanding of protein functions, cellular activities, and disease mechanisms, which will lead to identifying surface proteins as disease biomarkers and drug targets.</p><p><strong>Areas covered: </strong>In this review, we summarize mass spectrometry (MS)-based proteomics methods for global analysis of cell-surface proteins. Then, investigations of the dynamics of surface proteins are discussed. Furthermore, we summarize the studies for the surfaceome interaction networks. Additionally, biological applications of MS-based surfaceome analysis are included, particularly highlighting the significance in biomarker identification, drug development, and immunotherapies.</p><p><strong>Expert opinion: </strong>Modern MS-based proteomics provides an opportunity to systematically characterize proteins. However, due to the complexity of cell-surface proteins, the labor-intensive workflow, and the limit of clinical samples, comprehensive characterization of the surfaceome remains extraordinarily challenging, especially in clinical studies. Developing and optimizing surfaceome enrichment methods and utilizing automated sample preparation workflow can expand the applications of surfaceome analysis and deepen our understanding of the functions of cell-surface proteins.</p>\",\"PeriodicalId\":50463,\"journal\":{\"name\":\"Expert Review of Proteomics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10928381/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert Review of Proteomics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1080/14789450.2024.2314148\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/2/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Proteomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1080/14789450.2024.2314148","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
摘要
引言细胞表面蛋白对许多细胞事件极其重要,如调节细胞-细胞通讯和细胞-基质相互作用。表面蛋白表达、修饰(尤其是糖基化)和相互作用的异常改变与人类疾病直接相关。对表面蛋白的系统研究可促进我们对蛋白质功能、细胞活动和疾病机制的了解,从而将表面蛋白确定为疾病生物标志物和药物靶点:在这篇综述中,我们总结了基于质谱(MS)的蛋白质组学方法,用于细胞表面蛋白质的全局分析。然后,讨论了表面蛋白质的动态研究。此外,我们还总结了有关表面组相互作用网络的研究。此外,我们还介绍了基于 MS 的表面组分析的生物学应用,特别强调了其在生物标记物鉴定、药物开发和免疫疗法方面的重要意义:基于 MS 的现代蛋白质组学提供了系统描述蛋白质特征的机会。然而,由于细胞表面蛋白的复杂性、劳动密集型工作流程以及临床样本的局限性,表面组的全面表征仍然极具挑战性,尤其是在临床研究中。开发和优化表面组富集方法并利用自动化样品制备工作流程可以扩大表面组分析的应用范围,加深我们对细胞表面蛋白功能的理解。
Mass spectrometry-based methods for investigating the dynamics and organization of the surfaceome: exploring potential clinical implications.
Introduction: Cell-surface proteins are extremely important for many cellular events, such as regulating cell-cell communication and cell-matrix interactions. Aberrant alterations in surface protein expression, modification (especially glycosylation), and interactions are directly related to human diseases. Systematic investigation of surface proteins advances our understanding of protein functions, cellular activities, and disease mechanisms, which will lead to identifying surface proteins as disease biomarkers and drug targets.
Areas covered: In this review, we summarize mass spectrometry (MS)-based proteomics methods for global analysis of cell-surface proteins. Then, investigations of the dynamics of surface proteins are discussed. Furthermore, we summarize the studies for the surfaceome interaction networks. Additionally, biological applications of MS-based surfaceome analysis are included, particularly highlighting the significance in biomarker identification, drug development, and immunotherapies.
Expert opinion: Modern MS-based proteomics provides an opportunity to systematically characterize proteins. However, due to the complexity of cell-surface proteins, the labor-intensive workflow, and the limit of clinical samples, comprehensive characterization of the surfaceome remains extraordinarily challenging, especially in clinical studies. Developing and optimizing surfaceome enrichment methods and utilizing automated sample preparation workflow can expand the applications of surfaceome analysis and deepen our understanding of the functions of cell-surface proteins.
期刊介绍:
Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease.
The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery.
The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections:
Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale
Article highlights - an executive summary cutting to the author''s most critical points.