Technical, bioinformatical and statistical aspects of liquid chromatography-mass spectrometry (LC-MS) and capillary electrophoresis-mass spectrometry (CE-MS) based clinical proteomics: A critical assessment

被引:68
作者
Dakna, Mohammed [1 ]
He, Zengyou [2 ]
Yu, Wei Chuan [2 ]
Mischak, Harald [1 ]
Kolch, Walter [3 ,4 ]
机构
[1] Mosa Diagnost & Therapeut, Hannover, Germany
[2] Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Kowloon, Hong Kong, Peoples R China
[3] Univ Glasgow, Beatson Inst Canc Res, Glasgow, Lanark, Scotland
[4] Univ Glasgow, Sir Henry Wellcome Funct Genom Facil, Glasgow, Lanark, Scotland
来源
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES | 2009年 / 877卷 / 13期
关键词
LC-MS; CE-MS; Biomarkers; Clinical proteomics; Statistical data analysis; RESOLUTION PROTEOME/PEPTIDOME ANALYSIS; BIOMARKER DISCOVERY; URINARY PROTEOME; COMPUTATIONAL-PROTEOMICS; CROSS-VALIDATION; ACCURATE MASS; CANCER; SERUM; PATTERNS; BIAS;
D O I
10.1016/j.jchromb.2008.10.048
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The search for biomarkers in biological fluids that can be used for disease diagnosis and prognosis using mass spectrometry has emerged to become a state-of-the-art methodology for clinical proteomics. Poor cross platform comparison of the findings, however, makes the need for comparison studies probably as urgent as the need for new ones. It is now increasingly recognized that standardized statistical and bioinformatics approaches during data processing are of utmost importance for such comparisons. This paper reviews two of the currently most promising methods, namely LC-MS and CE-MS techniques, and software tools used to analyze the huge amount of data they generate. We further review the statistical issues of feature selection and sample classification. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:1250 / 1258
页数:9
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