Suppr超能文献

将基于质谱的磷酸化蛋白质组学从发现阶段转化为临床应用所面临的分析挑战。

Analytical challenges translating mass spectrometry-based phosphoproteomics from discovery to clinical applications.

作者信息

Iliuk Anton B, Arrington Justine V, Tao Weiguo Andy

机构信息

Department of Biochemistry, Purdue University, West Lafayette, IN, USA.

出版信息

Electrophoresis. 2014 Dec;35(24):3430-40. doi: 10.1002/elps.201400153. Epub 2014 Jul 10.

Abstract

Phosphoproteomics is the systematic study of one of the most common protein modifications in high throughput with the aim of providing detailed information of the control, response, and communication of biological systems in health and disease. Advances in analytical technologies and strategies, in particular the contributions of high-resolution mass spectrometers, efficient enrichments of phosphopeptides, and fast data acquisition and annotation, have catalyzed dramatic expansion of signaling landscapes in multiple systems during the past decade. While phosphoproteomics is an essential inquiry to map high-resolution signaling networks and to find relevant events among the apparently ubiquitous and widespread modifications of proteome, it presents tremendous challenges in separation sciences to translate it from discovery to clinical practice. In this mini-review, we summarize the analytical tools currently utilized for phosphoproteomic analysis (with focus on MS), progresses made on deciphering clinically relevant kinase-substrate networks, MS uses for biomarker discovery and validation, and the potential of phosphoproteomics for disease diagnostics and personalized medicine.

摘要

磷酸化蛋白质组学是对高通量条件下最常见的蛋白质修饰之一进行系统研究,旨在提供有关生物系统在健康和疾病状态下的调控、反应及通讯的详细信息。在过去十年中,分析技术和策略的进步,特别是高分辨率质谱仪、磷酸化肽段的高效富集以及快速数据采集与注释的贡献,推动了多个系统中信号转导图谱的显著扩展。虽然磷酸化蛋白质组学对于绘制高分辨率信号网络以及在蛋白质组中普遍存在且广泛的修饰中寻找相关事件至关重要,但要将其从发现阶段转化为临床实践,在分离科学方面仍面临巨大挑战。在本综述中,我们总结了目前用于磷酸化蛋白质组分析的分析工具(重点是质谱)、在解析临床相关激酶 - 底物网络方面取得的进展、质谱在生物标志物发现与验证中的应用,以及磷酸化蛋白质组学在疾病诊断和个性化医疗方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc67/4250476/cf574b51acaa/nihms615780f1.jpg

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