Application of Mouse Models to Research in Hearing and Balance.

IF 1.9 3区 物理与天体物理 Q2 MECHANICS Journal of Statistical Mechanics: Theory and Experiment Pub Date : 2016-12-01 Epub Date: 2016-10-17 DOI:10.1007/s10162-016-0589-1
Kevin K Ohlemiller, Sherri M Jones, Kenneth R Johnson
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Abstract

Laboratory mice (Mus musculus) have become the major model species for inner ear research. The major uses of mice include gene discovery, characterization, and confirmation. Every application of mice is founded on assumptions about what mice represent and how the information gained may be generalized. A host of successes support the continued use of mice to understand hearing and balance. Depending on the research question, however, some mouse models and research designs will be more appropriate than others. Here, we recount some of the history and successes of the use of mice in hearing and vestibular studies and offer guidelines to those considering how to apply mouse models.

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小鼠模型在听力和平衡研究中的应用。
实验小鼠(Mus musculus)已成为内耳研究的主要模式物种。小鼠的主要用途包括基因发现、特征描述和确认。小鼠的每一种应用都建立在对小鼠所代表的意义以及如何将所获得的信息加以推广的假设之上。一系列成功经验支持继续使用小鼠来了解听力和平衡。不过,根据研究问题的不同,有些小鼠模型和研究设计比其他模型和设计更适合。在此,我们将讲述在听力和前庭研究中使用小鼠的一些历史和成功经验,并为那些考虑如何应用小鼠模型的人提供指导。
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来源期刊
CiteScore
4.50
自引率
12.50%
发文量
210
审稿时长
1.0 months
期刊介绍: JSTAT is targeted to a broad community interested in different aspects of statistical physics, which are roughly defined by the fields represented in the conferences called ''Statistical Physics''. Submissions from experimentalists working on all the topics which have some ''connection to statistical physics are also strongly encouraged. The journal covers different topics which correspond to the following keyword sections. 1. Quantum statistical physics, condensed matter, integrable systems Scientific Directors: Eduardo Fradkin and Giuseppe Mussardo 2. Classical statistical mechanics, equilibrium and non-equilibrium Scientific Directors: David Mukamel, Matteo Marsili and Giuseppe Mussardo 3. Disordered systems, classical and quantum Scientific Directors: Eduardo Fradkin and Riccardo Zecchina 4. Interdisciplinary statistical mechanics Scientific Directors: Matteo Marsili and Riccardo Zecchina 5. Biological modelling and information Scientific Directors: Matteo Marsili, William Bialek and Riccardo Zecchina
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