Characterization of human lipidome and metabolome for personalized healthcare and biomarker discovery: case study of kidney cancer
Provider: Grantová agentura ČR
Programme: Standardní projekty
Implementation period: 01.01.18 - 31.12.20
Workplace:
Fakulta chemicko-technologická - Katedra analytické chemie
Investigator: Holčapek MichalTeam member: Jirásko Robert
Description:
The main goal of this project is the development of overall methodology for comprehensive quantitative characterization of lipidome and metabolome in human plasma and urine samples of healthy volunteers considering age and sex groups. All analytical methods will be validated for high-throughput quantitation of lipids and metabolites. This comprehensive approach covers all steps including the selection of objects, sample collection, sample preparation, mass spectrometry based analysis and quantitation, data processing, statistical evaluation, and biological interpretation. The developed methodology will be applied to a case study of renal cell carcinoma (RCC) patients with the goal to identify the most dysregulated lipids and metabolites using advanced multivariate data analysis methods and biological interpretation of observed changes for both groups together. Extracellular vesicles will be tested as perspective biomarker source in cancer diagnostics. The database of over 1000 lipids and metabolites will be built and used for other human healthcare and biomarker discovery projects.
The main goal of this project is the development of overall methodology for comprehensive quantitative characterization of lipidome and metabolome in human plasma and urine samples of healthy volunteers considering age and sex groups. All analytical methods will be validated for high-throughput quantitation of lipids and metabolites. This comprehensive approach covers all steps including the selection of objects, sample collection, sample preparation, mass spectrometry based analysis and quantitation, data processing, statistical evaluation, and biological interpretation. The developed methodology will be applied to a case study of renal cell carcinoma (RCC) patients with the goal to identify the most dysregulated lipids and metabolites using advanced multivariate data analysis methods and biological interpretation of observed changes for both groups together. Extracellular vesicles will be tested as perspective biomarker source in cancer diagnostics. The database of over 1000 lipids and metabolites will be built and used for other human healthcare and biomarker discovery projects.
