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基因中心调控网络。

Gene-centered regulatory networks.

机构信息

Program in Gene Function and Expression, University of Massachusetts Medical School, Worcester, MA 01605, USA.

出版信息

Brief Funct Genomics. 2010 Jan;9(1):4-12. doi: 10.1093/bfgp/elp049. Epub 2009 Dec 13.

Abstract

Differential gene expression plays a critical role in the development and physiology of multicellular organisms. At a 'systems level' (e.g. at the level of a tissue, organ or whole organism), this process can be studied using gene regulatory network (GRN) models that capture physical and regulatory interactions between genes and their regulators. In the past years, significant progress has been made toward the mapping of GRNs using a variety of experimental and computational approaches. Here, we will discuss gene-centered approaches that we employed to characterize GRNs and describe insights that we have obtained into the global design principles of gene regulation in complex metazoan systems.

摘要

差异基因表达在多细胞生物的发育和生理中起着关键作用。在“系统水平”(例如在组织、器官或整个生物体的水平上),可以使用基因调控网络(GRN)模型来研究这个过程,该模型可以捕捉基因与其调控因子之间的物理和调控相互作用。在过去的几年中,已经使用各种实验和计算方法在 GRN 的映射方面取得了重大进展。在这里,我们将讨论我们用于表征 GRN 的以基因为中心的方法,并描述我们对复杂后生动物系统中基因调控的全局设计原则的深入了解。

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