Network-based approaches for analysis of complex biological systems

被引:52
作者
Chasman, Deborah [1 ]
Siahpirani, Alireza Fotuhi [1 ,2 ,3 ]
Roy, Sushmita [1 ,2 ,3 ]
机构
[1] Univ Wisconsin, Wisconsin Inst Discovery, Madison, WI 53715 USA
[2] Univ Wisconsin, Dept Comp Sci, 1210 W Dayton St, Madison, WI 53706 USA
[3] Univ Wisconsin, Dept Biostat & Med Informat, Madison, WI 53792 USA
基金
美国国家科学基金会;
关键词
GENE REGULATORY NETWORKS; GENOME-SCALE MODELS; SIGNALING PATHWAYS; TRANSCRIPTIONAL PROGRAMS; EXPRESSION DATA; PRIOR KNOWLEDGE; INFERENCE; DISEASE; CANCER; INTEGRATION;
D O I
10.1016/j.copbio.2016.04.007
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Cells function and respond to changes in their environment by the coordinated activity of their molecular components, including mRNAs, proteins and metabolites. At the heart of proper cellular function are molecular networks connecting these components to process extra-cellular environmental signals and drive dynamic, context-specific cellular responses. Network-based computational approaches aim to systematically integrate measurements from high-throughput experiments to gain a global understanding of cellular function under changing environmental conditions. We provide an overview of recent methodological developments toward solving two major computational problems within this field in the past two years (2013-2015): network reconstruction and network-based interpretation. Looking forward, we envision development of methods that can predict phenotypes with high accuracy as well as provide biologically plausible mechanistic hypotheses.
引用
收藏
页码:157 / 166
页数:10
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