ON FLUCTUATION ANALYSIS - A NEW, SIMPLE AND EFFICIENT METHOD FOR COMPUTING THE EXPECTED NUMBER OF MUTANTS
ON FLUCTUATION ANALYSIS - A NEW, SIMPLE AND EFFICIENT METHOD FOR COMPUTING THE EXPECTED NUMBER OF MUTANTS
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DOI：
10.1007/bf00120324
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发表时间：
1992-01-01
期刊：
影响因子：
1.5
通讯作者：
SANDRI, GV
中科院分区：
文献类型：
--
作者：
SARKAR, S;MA, WT;SANDRI, GV
波动分析通常被用来证明细胞系中的随机突变(并估计突变率)，它基于一种称为Luria-Delbruck分布(及其推广)的概率分布的性质。本文报道的两个主要新结果是：(I)一个简单的、完全通用的、计算高效的方法，用于计算起伏分析产生的概率分布；(Ii)当一个菌落中的细胞在初始播种后只生长了有限代时，这个方法的公式。文中还表明，当假定有无限个世代时，该方法简化为以前发展的方法。对分布母函数的推导也作了说明。当播种和收获培养物之间只有相对较短的时间用于波动分析时，所获得的结果也应该对实验者有用。
Fluctuation analysis, which is often used to demonstrate random mutagenesis in cell lines (and to estimate mutation rates), is based on the properties of a probability distribution known as the Luria-Delbruck distribution (and its generalizations). The two main new results reported in this paper are (i) a simple, completely general, and computationally efficient procedure for calculating probability distributions arising from fluctuation analysis and (ii) the formula for this procedure when cells in a colony have only grown for a finite number of generations after initial seeding. It is also shown that the procedure reduces to one that was developed earlier when an infinite number of generations is assumed. The derivation of the generating function of the distribution is also clarified. The results obtained should also be useful to experimentalists when only a relatively short time elapses between seeding and harvesting cultures for fluctuation analysis.