UPLC-MSE application in disease biomarker discovery: The discoveries in proteomics to metabolomics

被引:113
作者
Zhao, Ying-Yong [1 ]
Lin, Rui-Chao [2 ]
机构
[1] Northwest Univ, Coll Life Sci, Key Lab Resource Biol & Biotechnol Western China, Minist Educ, Xian 710069, Peoples R China
[2] Beijing Univ Chinese Med, Sch Chinese Mat Med, Beijing 100029, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Proteomics; Metabolomics; Ultra performance liquid chromatography; Mass spectrometry; MSE; Disease biomarker; CHRONIC-RENAL-FAILURE; CHROMATOGRAPHY-MASS-SPECTROMETRY; URINARY METABONOMICS; BIOCHEMICAL-CHANGES; CYSTEINE OXIDATION; EXPERIMENTAL-MODEL; PORIA-COCOS; RAT URINE; IONIZATION; SERUM;
D O I
10.1016/j.cbi.2014.02.014
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In the last decade, proteomics and metabolomics have contributed substantially to our understanding of different diseases. Proteomics and metabolomics aims to comprehensively identify proteins and metabolites to gain insight into the cellular signaling pathways underlying disease and to discover novel biomarkers for screening, early detection and diagnosis, as well as. for determining prognoses and predicting responses to specific treatments. For comprehensive analysis of cellular proteins and metabolites, analytical methods of wider dynamic range higher resolution and good sensitivity are required. Ultra performance liquid chromatography-mass spectrometry(Elevated Energy) (UPLC-MSE) is currently one of the most versatile techniques. UPLC-MSE is an established technology in proteomics studies and is now expanding into metabolite research. MSE was used for simultaneous acquisition of precursor ion information and fragment ion data at low and high collision energy in one analytical run, providing similar information to conventional MS2. In this review, UPLC-MSE application in proteomics and metabolomics was highlighted to assess protein and metabolite changes in different diseases, including cancer, neuropsychiatric pharmacology studies from clinical trials and animal models. In addition, the future prospects for complete proteomics and metabolomics are discussed. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:7 / 16
页数:10
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