Gorelick N J, Thompson E D
Procter & Gamble Company, Miami Valley Laboratories, Cincinnati, OH 45239-8707.
Environ Mol Mutagen. 1994;23(1):12-6. doi: 10.1002/em.2850230104.
Early results from two transgenic mouse mutation assays, Big Blue [Kohler SW et al. (1991): Proc Natl Acad Sci USA 88:7958-7962] and Muta Mouse [Myhr BC (1991): Environ Mol Mutagen 18:308-315], raised questions about appropriate study design and methods for statistical analysis. First, there were a number of potential sources of variability in the technical aspects of the assay. These are "how we do it in our laboratory" differences, which, if not controlled, ultimately make inter-laboratory comparison of data difficult. Second, separate from the technical sources of variability were a number of study design issues, e.g., how many animals are needed in each treatment group, how many times should the animal be dosed, what is the appropriate expression period for a particular tissue, how many plaques need to be collected from each animal, and so on. To address these questions and to identify and understand the sources of variability in mutation data from these systems, a workshop was held in June, 1992 in Cincinnati, Ohio, USA. A core group of biologists and statisticians discussed possible sources of bias (tissue sampling, phage recovery and transgene recovery), possible sources of variability in mutant frequency (between animals, protocol-based sources, and design-based sources) and assay sensitivity. Following two days of discussion on protocol design and assay procedures, three action steps were recommended: (1) compile a data base of existing mutation data in transgenic mice to study its statistical features, (2) develop standard protocols for the mutation assays; and (3) use the standard protocol to generate a large data base of mutant frequencies in liver DNA from untreated mice for statistical study and analysis. This report summarizes the proceedings and recommendations of the workshop. The progress made toward these recommendations was reviewed in a second workshop, held in April, 1993, in Norfolk, Virginia, part of which is the subject of the accompanying paper by Piegorsch et al. To date, a standard protocol has been developed for the Big Blue mutagenesis assay and a data base of over 90 million plaques from seven labs using either the Big Blue or Muta Mouse system has been assembled, including a large data set of spontaneous liver mutant frequencies in the Big Blue system.
两项转基因小鼠突变试验(Big Blue [科勒·S·W等人(1991年):《美国国家科学院院刊》88:7958 - 7962]和Muta Mouse [迈尔·B·C(1991年):《环境与分子突变》18:308 - 315])的早期结果引发了关于合适的研究设计和统计分析方法的问题。首先,在试验的技术方面存在一些潜在的变异性来源。这些是“我们实验室如何操作”的差异,如果不加以控制,最终会使实验室间的数据比较变得困难。其次,与技术变异性来源不同的是一些研究设计问题,例如每个处理组需要多少只动物,动物应给药多少次,特定组织的合适表达期是多久,从每只动物需要收集多少噬菌斑等等。为了解决这些问题并识别和理解这些系统中突变数据的变异性来源,1992年6月在美国俄亥俄州辛辛那提市举办了一次研讨会。一组核心的生物学家和统计学家讨论了可能的偏差来源(组织采样、噬菌体回收和转基因回收)、突变频率的可能变异性来源(动物之间、基于方案的来源和基于设计的来源)以及试验灵敏度。在对方案设计和试验程序进行了两天的讨论之后,推荐了三个行动步骤:(1)汇编转基因小鼠现有突变数据的数据库以研究其统计特征,(2)制定突变试验的标准方案;(3)使用标准方案生成来自未处理小鼠肝脏DNA中突变频率的大型数据库用于统计研究和分析。本报告总结了研讨会的会议记录和建议。在1993年4月于弗吉尼亚州诺福克市举办的第二次研讨会上对朝着这些建议取得的进展进行了回顾,其中一部分是皮戈尔斯奇等人所附论文讨论的主题。迄今为止,已经为Big Blue诱变试验制定了标准方案,并且已经汇编了来自七个实验室使用Big Blue或Muta Mouse系统的超过9000万个噬菌斑的数据库,包括Big Blue系统中肝脏自发突变频率的一个大型数据集。