Systems biology for hepatologists

Authors

  • José M. Mato,

    Corresponding author
    1. CIC bioGUNE, Ciberehd, Parque Tecnológico de Bizkaia, Bizkaia, Spain
    • Address reprint requests to: Prof. José M. Mato, CIC bioGUNE, Parque Tecnológico de Bizkaia, 48160 Derio, Bizkaia, Spain. E-mail: director@cicbiogune.es; fax: +34-944-0611301.

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  • M. Luz Martínez-Chantar,

    1. CIC bioGUNE, Ciberehd, Parque Tecnológico de Bizkaia, Bizkaia, Spain
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  • Shelly C. Lu

    1. Division of Gastroenterology and Liver Diseases, USC Research Center for Liver Diseases, The Southern California Research Center for Alcoholic and Pancreatic Diseases & Cirrhosis, Keck School of Medicine USC, Los Angeles, CA, USA
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  • Potential conflict of interest: Dr. Mato consults for and owns stock in Owl. He consults for Abbott.

  • 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.

Abstract

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)

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