基因表达
表达式(计算机科学)
生物
翻译(生物学)
细胞生长
计算生物学
基因
基因调控网络
内生
基因表达调控
细胞生物学
细胞
遗传学
神经科学
信使核糖核酸
计算机科学
生物化学
程序设计语言
作者
Matthew P. Scott,Carl W. Gunderson,Eduard M. Mateescu,Zhongge Zhang,Terence Hwa
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2010-11-18
卷期号:330 (6007): 1099-1102
被引量:1568
标识
DOI:10.1126/science.1192588
摘要
In bacteria, the rate of cell proliferation and the level of gene expression are intimately intertwined. Elucidating these relations is important both for understanding the physiological functions of endogenous genetic circuits and for designing robust synthetic systems. We describe a phenomenological study that reveals intrinsic constraints governing the allocation of resources toward protein synthesis and other aspects of cell growth. A theory incorporating these constraints can accurately predict how cell proliferation and gene expression affect one another, quantitatively accounting for the effect of translation-inhibiting antibiotics on gene expression and the effect of gratuitous protein expression on cell growth. The use of such empirical relations, analogous to phenomenological laws, may facilitate our understanding and manipulation of complex biological systems before underlying regulatory circuits are elucidated.
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