Systems Biology for Hepatologists

被引:9
作者
Mato, Jose M. [1 ]
Luz Martinez-Chantar, M. [1 ]
Lu, Shelly C. [2 ]
机构
[1] Parque Tecnol Bizkaia, Ciberehd, CIC BioGUNE, Bizkaia, Spain
[2] Univ So Calif, Keck Sch Med, Div Gastroenterol & Liver Dis,Res Ctr Liver Dis, Southern Calif Res Ctr Alcohol & Pancreat Dis & C, Los Angeles, CA 90033 USA
关键词
NONALCOHOLIC FATTY LIVER; METHIONINE ADENOSYLTRANSFERASE 1A; HEPATOCELLULAR-CARCINOMA; S-ADENOSYLMETHIONINE; GENOME-WIDE; GENETIC-VARIATION; KNOCKOUT MICE; DISEASE; CANCER; METABOLISM;
D O I
10.1002/hep.27023
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
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.
引用
收藏
页码:736 / 743
页数:8
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