Integrative system biology strategies for disease biomarker discovery.
Biomarkers are currently widely used to diagnose diseases, monitor treatments, and evaluate potential drug candidates. Research of differential Omics accelerate the advancements of biomarkers' discovery. By extracting biological knowledge from the 'omics' through integration, integrative system biology creates predictive models of cells, organs, biochemical processes and complete organisms, in addition to identifying human disease biomarkers. Recent development in high-throughput methods enables analysis of genome, transcriptome, proteome, and metabolome at an unprecedented scale, thus contributing to the deluge of experimental data in numerous public databases. Several integrative system biology approaches have been developed and applied to the discovery of disease biomarkers from databases. In this review, we highlight several of these approaches and identify future steps in the context of the field of integrative system biology.
Medical School, Yangtze University, Jingzhou Hubei 434000, People's Republic of China. zhanghaiyuan1972@hotmail.com
Haiyuan
H
Zhang
Hao
H
Hu
Cao
C
Deng
Yeona
Y
Chun
Shengtao
S
Zhou
Fuqiang
F
Huang
Qin
Q
Zhou
D000818:Animals; D015415:Biomarkers / Q000032:analysis / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods*; D057166:High-Throughput Screening Assays / Q000379:methods*; D006801:Humans; D009369:Neoplasms / Q000175:diagnosis; D049490:Systems Biology / Q000379:methods*
D015415:Biomarkers