Decoding the quantitative nature of TGF-β/Smad signaling

被引：81

作者：

Clarke, David C. ^{[1
,2
]}

Liu, Xuedong ^{[1
]}

机构：

[1] Univ Colorado, Dept Chem & Biochem, Boulder, CO 80309 USA

[2] Univ Colorado, Dept Chem & Biol Engn, Boulder, CO 80309 USA

来源：

TRENDS IN CELL BIOLOGY | 2008年 / 18卷 / 09期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1016/j.tcb.2008.06.006

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

How transforming growth factor-beta (TGF-beta) signaling elicits diverse cell responses remains elusive, despite the major molecular components of the pathway being known. We contend that understanding TGF-beta biology requires mathematical models to decipher the quantitative nature of TGF-beta/Smad signaling and to account for its complexity. Here, we review mathematical models of TGF-beta superfamily signaling that predict how robustness is achieved in bone-morphogenetic-protein signaling in the Drosophila embryo, how changes in receptor-trafficking dynamics can be exploited by cancer cells and how the basic mechanisms of TGF-beta/Smad signaling conspire to promote Smad accumulation in the nucleus. These studies demonstrate the power of mathematical modeling for understanding TGF-beta biology.

引用

页码：430 / 442

页数：13

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