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用于理解细胞信号传导和基因调控的系统方法。

Systems approaches to understanding cell signaling and gene regulation.

作者信息

Provart Nicholas J, McCourt Peter

机构信息

Department of Botany, University of Toronto, 25 Willcocks Street, Toronto, Ontario M5S 3B2, Canada.

出版信息

Curr Opin Plant Biol. 2004 Oct;7(5):605-9. doi: 10.1016/j.pbi.2004.07.001.

Abstract

The age of 'omics' is upon us, and scientific papers that reflect this are starting to appear at an ever-increasing rate. The amount of information generated in any 'omics' program is daunting and often overwhelms plant scientists whose main interests relate to cell or developmental biology. For this revolution in data generation to have any impact in plant signaling studies, we must have great confidence in both the quality of the data and our ability to represent it in ways that are meaningful to general plant biologists. Systems biology has begun to address these issues and to provide examples in which the analysis of large data sets has led to biological insights into cell signaling and gene regulation.

摘要

“组学”时代已经来临,反映这一情况的科学论文开始以越来越快的速度涌现。任何“组学”项目所产生的信息量都令人望而生畏,常常让主要关注细胞或发育生物学的植物科学家应接不暇。为了让这场数据生成方面的革命对植物信号研究产生影响,我们必须对数据质量以及以对普通植物生物学家有意义的方式呈现数据的能力充满信心。系统生物学已开始着手解决这些问题,并提供了一些实例,其中对大数据集的分析带来了对细胞信号传导和基因调控的生物学见解。

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