Network-based functional modeling of genomics, transcriptomics and metabolism in bacteria

被引:20
作者
Cloots, Lore [1 ]
Marchal, Kathleen [1 ,2 ]
机构
[1] Katholieke Univ Leuven, Dept Microbial & Mol Syst, B-3001 Louvain, Belgium
[2] Univ Ghent, Dept Plant Biotechnol & Bioinformat, B-9052 Ghent, Belgium
基金
比利时弗兰德研究基金会;
关键词
PROTEIN-PROTEIN INTERACTION; SIGNAL-TRANSDUCTION NETWORKS; ESCHERICHIA-COLI; HIGH-THROUGHPUT; GENETIC INTERACTIONS; REGULATORY NETWORKS; BACILLUS-SUBTILIS; INTERACTION MAP; REVEALS; RECONSTRUCTION;
D O I
10.1016/j.mib.2011.09.003
中图分类号
Q93 [微生物学];
学科分类号
071005 [微生物学];
摘要
Molecular entities present in a cell (mRNA, proteins, metabolites, ...) do not act in isolation, but rather in cooperation with each other to define an organisms form and function. Their concerted action can be viewed as networks of interacting entities that are active under certain conditions within the cell or upon certain environmental signals. A main challenge in systems biology is to model these networks, or in other words studying which entities interact to form cellular systems or accomplish similar functions. On the contrary, viewing a single entity or an experimental dataset in the light of an interaction network can reveal previous unknown insights in biological processes. In this review we give an overview of how integrated networks can be reconstructed from multiple omics data and how they can subsequently be used for network-based modeling of cellular function in bacteria.
引用
收藏
页码:599 / 607
页数:9
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