Potential conflict of interest: Dr. Mato consults for and owns stock in Owl. He consults for Abbott.
Systems biology for hepatologists
Article first published online: 18 JUN 2014
© 2014 by the American Association for the Study of Liver Diseases
Volume 60, Issue 2, pages 736–743, August 2014
How to Cite
Mato, J. M., Martínez-Chantar, M. L. and Lu, S. C. (2014), Systems biology for hepatologists. Hepatology, 60: 736–743. doi: 10.1002/hep.27023
Supported by NIH RO1AT1576 (to M.L.M-C., S.C.L., J.M.M.), RO1DK051719 (to S.C.L., J.M.M.), Spanish Plan Nacional I+D SAF 2011-29851 (to J.M.M.), ETORTEK-2010 Gobierno Vasco (to M.L.M.-C, J.M.M.), PI11/01588, Sanidad Gobierno Vasco 2008, Educación Gobierno Vasco 2011 (to M.L.M.-C), 2012 (J.M.M.). Ciberehd is funded by ISCiii.
- Issue published online: 22 JUL 2014
- Article first published online: 18 JUN 2014
- Accepted manuscript online: 21 JAN 2014 10:56AM EST
- Manuscript Accepted: 15 JAN 2014
- Manuscript Revised: 17 DEC 2013
- Manuscript Received: 1 OCT 2013
Medicine is expected to benefit from combining usual cellular and molecular studies with high-throughput methods (genomics, transcriptomics, proteomics, and metabolomics). These methods, collectively known as omics, permit the determination of thousands of molecules (variations within genes, RNAs, proteins, metabolites) within a tissue, cell, or biological fluid. The use of these methods is very demanding in terms of the design of the study, acquisition, storage, analysis, and interpretation of the data. When carried out properly, these studies can reveal new etiological pathways, help to identify patients at risk for disease, and predict the response to specific treatments. Here we review these omics methods and mention several applications in hepatology research. (Hepatology 2014;60:736–743)