基于组学数据构建基因调控网络

Reconstruction of genetic regulatory network from omics data

在生命体内,基因以及其它分子间相互作用形成复杂调控网络,生命过程都是以调控网络的形式存在,如从代谢通路网络到转录调控网络,从信号转导网络到蛋白质相互作用网络等等。因此,网络现象是生命现象的复杂本质和主要特征。本文系统地介绍了基于表达谱数据构建基因调控网络的布尔网络模型,线性模型,微分方程模型和贝叶斯网络模型,并对各种网络构建模型进行了深入的分析和总结。同时,文章从基因组序列信息、蛋白质相互作用信息和生物医学文献信息等方面讨论了基因调控网络方面构建的研究,这对从系统生物学水平揭示生命复杂机制具有重要的参考价值。

The regulatory networks of life system arise from complex interactions between genes,or other molecules,and all life they phenomenon come from the genetic networks,for example,metabolic networks,transcriptional regulatory networks,signaling networks,protein-protein interaction,and so on.So the network will be the complexity genius and most important character of life,and for emerging the law of life science,reconstructing genetic networks will be fascinating and getting hot.This paper have introduced some models for reconstructing genetic regulatory networks from transcription data,such as boolean network,liner model,differential equations and bayesian networks,and discussed the models＇ developments and applications.Meanwhile,we also have simple discussed the advances in reconstructing networks from genome sequences,protein-protein interactions information and biomedicine literature,for unfolding the complex mechanisms of life at system level.