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用于小鼠睡眠/觉醒的正向遗传筛选的方法学和理论基础。

Methodology and theoretical basis of forward genetic screening for sleep/wakefulness in mice.

机构信息

International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, 305-8575 Ibaraki, Japan.

Research Center for Advanced Science and Technology, The University of Tokyo, 153-8904 Tokyo, Japan.

出版信息

Proc Natl Acad Sci U S A. 2019 Aug 6;116(32):16062-16067. doi: 10.1073/pnas.1906774116. Epub 2019 Jul 23.

Abstract

The regulatory network of genes and molecules in sleep/wakefulness remains to be elucidated. Here we describe the methodology and workflow of the dominant screening of randomly mutagenized mice and discuss theoretical basis of forward genetics research for sleep in mice. Our high-throughput screening employs electroencephalogram (EEG) and electromyogram (EMG) to stage vigilance states into a wake, rapid eye movement sleep (REMS) and non-REM sleep (NREMS). Based on their near-identical sleep/wake behavior, C57BL/6J (B6J) and C57BL/6N (B6N) are chosen as mutagenized and counter strains, respectively. The total time spent in the wake and NREMS, as well as the REMS episode duration, shows sufficient reproducibility with small coefficients of variance, indicating that these parameters are most suitable for quantitative phenotype-driven screening. Coarse linkage analysis of the quantitative trait, combined with whole-exome sequencing, can identify the gene mutation associated with sleep abnormality. Our simulations calculate the achievable LOD score as a function of the phenotype strength and the numbers of mice examined. A pedigree showing a mild decrease in total wake time resulting from a heterozygous point mutation in the gene is described as an example.

摘要

睡眠/觉醒状态的基因和分子调控网络仍有待阐明。在这里,我们描述了随机诱变小鼠的优势筛选的方法和工作流程,并讨论了用于小鼠睡眠的正向遗传学研究的理论基础。我们的高通量筛选采用脑电图(EEG)和肌电图(EMG)将警觉状态分为觉醒、快速眼动睡眠(REMS)和非快速眼动睡眠(NREMS)。基于它们几乎相同的睡眠/觉醒行为,C57BL/6J(B6J)和 C57BL/6N(B6N)分别被选为诱变和对照品系。觉醒和 NREMS 的总时间以及 REMS 持续时间的变异性小,具有足够的重现性,表明这些参数最适合用于定量表型驱动的筛选。对定量性状进行粗略连锁分析,结合全外显子测序,可鉴定与睡眠异常相关的基因突变。我们的模拟计算了表型强度和检查的小鼠数量作为实现 LOD 评分的函数。描述了一个家系,由于 基因中的杂合点突变,导致总觉醒时间轻度减少,作为一个例子。

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