Literature DB >> 24631021

UPLC-MS(E) application in disease biomarker discovery: the discoveries in proteomics to metabolomics.

Ying-Yong Zhao1, Rui-Chao Lin2.   

Abstract

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-MS(E)) is currently one of the most versatile techniques. UPLC-MS(E) is an established technology in proteomics studies and is now expanding into metabolite research. MS(E) 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 MS(2). In this review, UPLC-MS(E) 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.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Disease biomarker; MS(E); Mass spectrometry; Metabolomics; Proteomics; Ultra performance liquid chromatography

Mesh:

Substances:

Year:  2014        PMID: 24631021     DOI: 10.1016/j.cbi.2014.02.014

Source DB:  PubMed          Journal:  Chem Biol Interact        ISSN: 0009-2797            Impact factor:   5.192


  35 in total

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8.  A pharmaco-metabonomic study on chronic kidney disease and therapeutic effect of ergone by UPLC-QTOF/HDMS.

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9.  Untargeted serum metabolomics and tryptophan metabolism profiling in type 2 diabetic patients with diabetic glomerulopathy.

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10.  Metabolomics insights into chronic kidney disease and modulatory effect of rhubarb against tubulointerstitial fibrosis.

Authors:  Zhi-Hao Zhang; Feng Wei; Nosratola D Vaziri; Xian-Long Cheng; Xu Bai; Rui-Chao Lin; Ying-Yong Zhao
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