Network medicine: a network-based approach to human disease

被引:3336
作者
Barabasi, Albert-Laszlo [1 ,2 ,3 ,4 ]
Gulbahce, Natali [1 ,2 ,3 ,5 ]
Loscalzo, Joseph [4 ]
机构
[1] Northeastern Univ, Ctr Complex Networks Res, Dana Res Ctr 111, Boston, MA 02115 USA
[2] Northeastern Univ, Dept Phys, Dana Res Ctr 111, Boston, MA 02115 USA
[3] Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA
[4] Harvard Univ, Sch Med, Dept Med, Brigham & Womens Hosp, Boston, MA 02115 USA
[5] Univ Calif San Francisco, Dept Cellular & Mol Pharmacol, San Francisco, CA 94158 USA
基金
美国国家卫生研究院;
关键词
PROTEIN-INTERACTION NETWORK; GENE-COEXPRESSION NETWORK; TOPOLOGICAL FEATURES; COMMUNITY STRUCTURE; MOLECULAR NETWORKS; SMALL-WORLD; INTERACTOME; CANCER; MODULARITY; DISCOVERY;
D O I
10.1038/nrg2918
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular and intercellular network that links tissue and organ systems. The emerging tools of network medicine offer a platform to explore systematically not only the molecular complexity of a particular disease, leading to the identification of disease modules and pathways, but also the molecular relationships among apparently distinct (patho)phenotypes. Advances in this direction are essential for identifying new disease genes, for uncovering the biological significance of disease-associated mutations identified by genome-wide association studies and full-genome sequencing, and for identifying drug targets and biomarkers for complex diseases.
引用
收藏
页码:56 / 68
页数:13
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