Paulsson Johan
Department of Molecular Biology, Princeton University, Washington Road, Princeton, New Jersey 08544-1014, USA.
Nature. 2004 Jan 29;427(6973):415-8. doi: 10.1038/nature02257.
Random fluctuations in genetic networks are inevitable as chemical reactions are probabilistic and many genes, RNAs and proteins are present in low numbers per cell. Such 'noise' affects all life processes and has recently been measured using green fluorescent protein (GFP). Two studies show that negative feedback suppresses noise, and three others identify the sources of noise in gene expression. Here I critically analyse these studies and present a simple equation that unifies and extends both the mathematical and biological perspectives.
由于化学反应具有概率性,且每个细胞中许多基因、RNA和蛋白质的数量都很少,遗传网络中的随机波动是不可避免的。这种“噪音”会影响所有生命过程,最近人们利用绿色荧光蛋白(GFP)对其进行了测量。两项研究表明,负反馈会抑制噪音,另外三项研究则确定了基因表达中噪音的来源。在此,我对这些研究进行批判性分析,并给出一个简单的方程式,它统一并扩展了数学和生物学的观点。