Suppr超能文献

通过质谱法描绘翻译后修饰中的疾病相关变化。

Characterizing disease-associated changes in post-translational modifications by mass spectrometry.

机构信息

a Department of Biochemistry and Molecular Biology , University of Southern Denmark , Odense , Denmark.

b Department of Neuroscience , University of Southern Denmark, Institute of Molecular Medicine , Denmark.

出版信息

Expert Rev Proteomics. 2018 Mar;15(3):245-258. doi: 10.1080/14789450.2018.1433036. Epub 2018 Feb 1.

Abstract

Exploring post-translational modifications (PTMs) with the use of mass spectrometry (PTMomics) is a rapidly developing area, with methods for discovery/quantification being developed and advanced on a regular basis. PTMs are highly important for the regulation of protein function, interaction and activity, both in physiological and disease states. Changes in PTMs can either cause, or be the result of a disease, making them central for biomarker studies and studies of disease pathogenesis. Recently, it became possible to study multiple PTMs simultaneously from low amount of sample material, thereby increasing coverage of the PTMome obtainable from a single sample. Thus, quantitative PTMomics holds great potential to discover biomarkers from tissue and body fluids as well as elucidating disease mechanisms through characterization of signaling pathways. Areas covered: Recent mass spectrometry-based methods for assessment of the PTMome, with focus on the most studied PTMs, are highlighted. Furthermore, both data dependent and data independent acquisition methods are evaluated. Finally, current challenges in the field are discussed. Expert commentary: PTMomics holds great potential for clinical and biomedical research, especially with the generation of spectral libraries of peptides and PTMs from individual patients (permanent PTM maps) for use in personalized medicine.

摘要

利用质谱法(PTM 组学)探索翻译后修饰(PTMs)是一个快速发展的领域,发现/定量方法经常得到开发和改进。PTMs 对蛋白质功能、相互作用和活性的调节非常重要,无论是在生理状态还是疾病状态下。PTMs 的变化既可以导致疾病,也可以是疾病的结果,因此它们是生物标志物研究和疾病发病机制研究的核心。最近,人们有可能从少量的样本材料中同时研究多种 PTMs,从而增加从单个样本中获得的 PTMome 的覆盖范围。因此,定量 PTM 组学具有从组织和体液中发现生物标志物以及通过信号通路的特征阐明疾病机制的巨大潜力。涵盖的领域:本文重点介绍了基于质谱的最新 PTMome 评估方法,特别是最受研究的 PTMs。此外,还对数据依赖和数据独立采集方法进行了评估。最后,讨论了该领域当前面临的挑战。专家评论:PTM 组学在临床和生物医学研究中具有巨大的潜力,特别是对于从个体患者生成肽和 PTM 的光谱库(用于个性化医疗的永久 PTM 图谱)的生成。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验