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Systems biology for hepatologists
Author(s) -
Mato José M.,
MartínezChantar M. Luz,
Lu Shelly C.
Publication year - 2014
Publication title -
hepatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.488
H-Index - 361
eISSN - 1527-3350
pISSN - 0270-9139
DOI - 10.1002/hep.27023
Subject(s) - proteomics , metabolomics , computational biology , systems biology , omics , genomics , bioinformatics , biology , computer science , gene , genome , genetics
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. (H epatology 2014;60:736–743)