Abstract
We apply well established MS-based Metabolomics platform towards the detection, characterization and identification of small molecule biomarkers. Data acquisition is performed with the assistance of GC/TOF/MS line and LC/MS line. Sophisticated data mining approach using different algorithms deals with electron impact (EI) generated data as well as data generated with the unit resolution, high resolution and ultrahigh resolution hybrid instruments having API sources. These competitive approaches deliver exciting results on selection of the predictors' panel and potential metabolic biomarkers discovery. We here report on efficiency of Metabolic Biomarkers Discovery Project as a platform for cases study: Kidney diseases (RCC and PKD); Pancreatic Cancer (PDAC); Human Embryonic Stem Cells functional characterization. However, Metabolic Networks simulation and Metabolic Pathway Analysis, which could be essential tools for Metabolic Biomarkers validation and connections with underlying biochemical processes are still difficult and approached not systematically, but rather case wise. Challenges and developments in this field will be further presented and discussed.