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Label‐free LC‐MS/MS quantitative proteomics for large‐scale biomarker discovery in complex samples

2007; Wiley; Volume: 30; Issue: 14 Linguagem: Inglês

10.1002/jssc.200700189

1615-9314

Yishai Levin, Emanuel Schwarz, Lan Wang, F. Markus Leweke, Sabine Bahn,

Metabolomics and Mass Spectrometry Studies

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.