Adapting mass spectrometry-based platforms for clinical proteomics applications: The capillary electrophoresis coupled mass spectrometry paradigm

被引:21
作者
Metzger, Jochen [1 ]
Luppa, Peter B. [2 ]
Good, David M. [3 ]
Mischak, Harald [1 ]
机构
[1] Mosa Diagnost & Therapeut AG, D-30625 Hannover, Germany
[2] Tech Univ Munich, Klinikum Rechts Isar, Inst Klin Chem & Pathobiochem, D-8000 Munich, Germany
[3] Univ Wisconsin, Dept Chem, Madison, WI 53706 USA
关键词
Biomarker pattern; bladder cancer; capillary electrophoresis; chronic kidney disease; coronary artery disease; graft-versus-host disease; mass spectrometry; multivariate statistical analysis; prostate cancer; proteome database; proteomics/peptidomics; urine; STEM-CELL TRANSPLANTATION; CORONARY-ARTERY-DISEASE; ENHANCED LASER-DESORPTION/IONIZATION; PROSTATE-SPECIFIC ANTIGEN; HUMAN URINARY PROTEOME; SELDI-TOF-MS; BIOMARKER DISCOVERY; DIABETIC-NEPHROPATHY; PLASMA-PROTEOME; IGA NEPHROPATHY;
D O I
10.1080/10408360902805261
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Single biomarker detection is common in clinical laboratories due to the currently available method spectrum. For various diseases, however, no specific single biomarker could be identified. A strategy to overcome this diagnostic void is to shift from single analyte detection to multiplexed biomarker profiling. Mass spectrometric methods were employed for biomarker discovery in body fluids. The enormous complexity of biofluidic proteome compartments implies upstream fractionation. For this reason, mass spectrometry (MS) was coupled to two-dimensional gel electrophoresis, liquid chromatography, surface-enhanced laser desorption/ionization, or capillary electrophoresis (CE). Differences in performance and operating characteristics make them differentially suited for routine laboratory applications. Progress in the field of clinical proteomics relies not only on the use of an adequate technological platform, but also on a fast and efficient proteomic workflow including standardized sample preparation, proteomic data processing, statistical validation of biomarker selection, and sample classification. Based on CE-MS analysis, we describe how proteomic technology can be implemented in a clinical laboratory environment. In the last part of this review, we give an overview of CE-MS-based clinical studies and present information on identity and biological significance of the identified peptide biomarkers providing evidence of disease-induced changes in proteolytic processing and posttranslational modification.
引用
收藏
页码:129 / 152
页数:24
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