Label-free LC-MS/MS quantitative proteomics for large-scale biomarker discovery in complex samples.
Proteomic platforms that enable researchers to profile a high number of proteins across large sets of complex samples hold a great potential for biomarker discovery. LC-MS/MS-based methods can be used to analyse many samples without the need for protein labelling. As the analysis is a sequential process, the performance of the system has to be consistent throughout the entire experiment. In this study we used a set of spiked serum samples as well as a set of 55 clinical serum samples from schizophrenia patients and healthy volunteers to show that the label-free proteomic approach yields reproducible results across a large number of samples and can be used to accurately measure the relative protein abundance. Using this approach, we identified 1709 serum proteins covering a dynamic range of over three orders of magnitude. We believe that label-free quantitative proteomics is especially suited for biomarker discovery in large sample sets.
Institute of Biotechnology, University of Cambridge, Cambridge, UK.
Yishai
Y
Levin
Emanuel
E
Schwarz
Lan
L
Wang
F Markus
FM
Leweke
Sabine
S
Bahn
D015415:Biomarkers / Q000097:blood*; D001798:Blood Proteins / Q000302:isolation & purification; D016022:Case-Control Studies; D002853:Chromatography, Liquid / Q000379:methods*; D006801:Humans; D036103:Nanotechnology / Q000379:methods; D040901:Proteomics / Q000379:methods*; D012563:Schizophrenia, Paranoid / Q000097:blood; D021241:Spectrometry, Mass, Electrospray Ionization / Q000379:methods; D053719:Tandem Mass Spectrometry / Q000379:methods*
D015415:Biomarkers; D001798:Blood Proteins