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一种用于估计培养的哺乳动物细胞中突变率的确定性方法。

A deterministic approach for the estimation of mutation rates in cultured mammalian cells.

作者信息

Li I C, Wu S C, Fu J, Chu E H

出版信息

Mutat Res. 1985 Mar;149(1):127-32. doi: 10.1016/0027-5107(85)90017-x.

DOI:10.1016/0027-5107(85)90017-x
PMID:3974619
Abstract

Unequal growth rates between mutant and wild-type cells in a large population constitute a problem for the estimation of mutation rate. Over a period of cell growth, a selective advantage of one cell type over the other might lead to considerable error in the estimation of mutation rate if equal growth rates are assumed. In this study, we propose a formula and apply it to the estimation of spontaneous mutation rate in a growing population of Chinese hamster V79 cells in which ouabain-resistant mutant cells exhibit a slower growth rate than the wild-type cells. The formula is a generalization of that previously presented by Armitage (1953), and this is the first attempt to apply the deterministic approach for mutation rate estimation to cultured mammalian cells. The value of the estimated rate is compared with that derived from a parallel experiment using the fluctuation test of Luria and Delbrück (1943). The limitations and advantages of taking the deterministic approach to mutation rate estimation in mammalian cell systems are discussed.

摘要

在一个大群体中,突变细胞和野生型细胞之间生长速率的不平等给突变率的估计带来了问题。在细胞生长过程中,如果假设两种细胞类型的生长速率相等,那么一种细胞类型相对于另一种细胞类型的选择性优势可能会导致突变率估计出现相当大的误差。在本研究中,我们提出了一个公式,并将其应用于中国仓鼠V79细胞生长群体中自发突变率的估计,其中哇巴因抗性突变细胞的生长速率比野生型细胞慢。该公式是对Armitage(1953年)之前提出的公式的推广,这是首次尝试将确定性方法用于突变率估计,并应用于培养的哺乳动物细胞。将估计速率的值与使用Luria和Delbrück(1943年)的波动试验的平行实验得出的值进行比较。讨论了在哺乳动物细胞系统中采用确定性方法估计突变率的局限性和优点。

相似文献

1
A deterministic approach for the estimation of mutation rates in cultured mammalian cells.一种用于估计培养的哺乳动物细胞中突变率的确定性方法。
Mutat Res. 1985 Mar;149(1):127-32. doi: 10.1016/0027-5107(85)90017-x.
2
Evaluation of methods for the estimation of mutation rates in cultured mammalian cell populations.培养的哺乳动物细胞群体中突变率估计方法的评估。
Mutat Res. 1987 Apr;190(4):281-7. doi: 10.1016/0165-7992(87)90010-8.
3
Modeling and measurement of the spontaneous mutation rate in mammalian cells.
Mutat Res. 1995 Apr;328(1):21-30. doi: 10.1016/0027-5107(94)00190-g.
4
Mutations of Chinese hamster somatic cells from 2-deoxygalactose sensitivity to resistance.中国仓鼠体细胞从对2-脱氧半乳糖敏感突变为抗性。
Genetics. 1979 Jun;92(2):563-72. doi: 10.1093/genetics/92.2.563.
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A comparative study of assay systems for drug-resistant mutation in cultured mammalian cells.培养哺乳动物细胞中耐药性突变检测系统的比较研究。
Jpn J Exp Med. 1981 Jun;51(3):141-7.
6
Relative sensitivity of V79 and V79/79 cells to spontaneous and induced mutation to 6-thioguanine and ouabain resistance.V79细胞和V79/79细胞对自发和诱导产生的6-硫鸟嘌呤抗性及哇巴因抗性突变的相对敏感性。
Mutat Res. 1982 Aug;95(2-3):339-52. doi: 10.1016/0027-5107(82)90269-x.
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The fluctuation test as a more sensitive system for determining induced mutation in L5178Y mouse lymphoma cells.波动试验作为一种更灵敏的系统,用于测定L5178Y小鼠淋巴瘤细胞中的诱导突变。
Mutat Res. 1976 Dec;41(2-3):377-86. doi: 10.1016/0027-5107(76)90110-x.
8
[Comparative study on protein components of ouabain resistant mutant and wild cells of Chinese hamster V79 cell line by two-dimensional gel electrophoresis].
Hua Xi Yi Ke Da Xue Xue Bao. 1989 Sep;20(3):239-42.
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Inhibition by hemin of dinitropyrene-induced mutagenesis in Chinese hamster V79 cells.
Gan. 1984 Jul;75(7):574-7.
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Effect of cell growth rate and dose fractionation on chemically-induced ouabain-resistant mutations in Chinese hamster V79 cells.
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Differences in the rates of gene amplification in nontumorigenic and tumorigenic cell lines as measured by Luria-Delbrück fluctuation analysis.通过卢里亚-德尔布吕克波动分析测量的非致瘤性和致瘤性细胞系中基因扩增率的差异。
Proc Natl Acad Sci U S A. 1989 Dec;86(23):9441-5. doi: 10.1073/pnas.86.23.9441.
6
Fluctuation analysis: the probability distribution of the number of mutants under different conditions.波动分析:不同条件下突变体数量的概率分布。
Genetics. 1990 Jan;124(1):175-85. doi: 10.1093/genetics/124.1.175.
7
Spontaneous mutation rates in mammalian cells: effect of differential growth rates and phenotypic lag.哺乳动物细胞中的自发突变率:不同生长速率和表型滞后的影响。
Genetics. 1990 Oct;126(2):435-42. doi: 10.1093/genetics/126.2.435.