Suppr超能文献

用于生物标志物发现的代谢组学

Metabolomics Toward Biomarker Discovery.

作者信息

Yin Peiyuan, Xu Guowang

机构信息

Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, 16023, Dalian, China.

出版信息

Methods Mol Biol. 2017;1619:467-475. doi: 10.1007/978-1-4939-7057-5_32.

Abstract

Metabolomics has been used as practical tool in the discovery of novel biomarkers in a broad area in the clinic. The analytical platforms including nuclear magnetic resonance (NMR) and mass spectrometry (MS) can cover thousands of metabolites. With the help of multivariate data analysis, many potential biomarkers can be defined in the studies. Since metabolites stand at the end point of metabolism, it remains difficult to find novel biomarkers with good diagnostic or prognostic performance. In this chapter, we will introduce a general protocol for biomarker discovery within the scope of metabolomics using MS.

摘要

代谢组学已成为临床上广泛领域中发现新型生物标志物的实用工具。包括核磁共振(NMR)和质谱(MS)在内的分析平台能够覆盖数千种代谢物。借助多变量数据分析,在研究中可以确定许多潜在的生物标志物。由于代谢物处于代谢的终点,因此仍然难以找到具有良好诊断或预后性能的新型生物标志物。在本章中,我们将介绍一种使用质谱在代谢组学范围内发现生物标志物的通用方案。

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