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第二代高通量正向遗传筛选在小鼠中分离微妙的行为突变体。

Second-generation high-throughput forward genetic screen in mice to isolate subtle behavioral mutants.

机构信息

Department of Neuroscience, Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390-9111, USA.

出版信息

Proc Natl Acad Sci U S A. 2011 Sep 13;108 Suppl 3(Suppl 3):15557-64. doi: 10.1073/pnas.1107726108. Epub 2011 Sep 6.

DOI:10.1073/pnas.1107726108
PMID:21896739
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3176609/
Abstract

Forward genetic screens have been highly successful in revealing roles of genes and pathways in complex biological events. Traditionally these screens have focused on isolating mutants with the greatest phenotypic deviance, with the hopes of discovering genes that are central to the biological event being investigated. Behavioral screens in mice typically use simple activity-based assays as endophenotypes for more complex emotional states of the animal. They generally set the selection threshold for a putative mutant at 3 SDs (z score of 3) from the average behavior of normal animals to minimize false-positive results. Behavioral screens using a high threshold for detection have generally had limited success, with high false-positive rates and subtle phenotypic differences that have made mapping and cloning difficult. In addition, targeted reverse genetic approaches have shown that when genes central to behaviors such as open field behavior, psychostimulant response, and learning and memory tasks are mutated, they produce subtle phenotypes that differ from wild-type animals by 1 to 2 SDs (z scores of 1 to 2). We have conducted a second-generation (G2) dominant N-ethyl-N-nitrosourea (ENU) screen especially designed to detect subtle behavioral mutants for open field activity and psychostimulant response behaviors. We successfully detect mutant lines with only 1 to 2 SD shifts in mean response compared with wild-type control animals and present a robust statistical and methodological framework for conducting such forward genetic screens. Using this methodology we have screened 229 ENU mutant lines and have identified 15 heritable mutant lines. We conclude that for screens in mice that use activity-based endophenotypic measurements for complex behavioral states, this G2 screening approach yields better results.

摘要

正向遗传筛选在揭示基因和途径在复杂生物事件中的作用方面非常成功。传统上,这些筛选集中于分离表型差异最大的突变体,希望发现对正在研究的生物事件至关重要的基因。小鼠的行为筛选通常使用简单的基于活动的测定作为动物更复杂情绪状态的内表型。它们通常将假定突变体的选择阈值设置为正常动物平均行为的 3 个标准差(z 分数为 3),以最大程度地减少假阳性结果。使用高检测阈值的行为筛选通常成功率有限,假阳性率高,表型差异细微,使得映射和克隆变得困难。此外,靶向反向遗传方法表明,当对行为(如旷场行为、精神兴奋剂反应以及学习和记忆任务)起核心作用的基因发生突变时,它们会产生与野生型动物相差 1 到 2 个标准差(z 分数为 1 到 2)的细微表型。我们进行了第二代(G2)显性 N-乙基-N-亚硝脲(ENU)筛选,专门用于检测旷场活动和精神兴奋剂反应行为的细微行为突变体。我们成功地检测到与野生型对照动物相比平均反应仅发生 1 到 2 个标准差变化的突变体系,并提出了一种用于进行此类正向遗传筛选的稳健统计和方法学框架。使用这种方法,我们筛选了 229 条 ENU 突变体系,鉴定出 15 条可遗传的突变体系。我们得出结论,对于使用基于活动的内表型测量来研究复杂行为状态的小鼠筛选,这种 G2 筛选方法会产生更好的结果。