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一种用于评估小脑共济失调小鼠模型的简单复合表型评分系统。

A simple composite phenotype scoring system for evaluating mouse models of cerebellar ataxia.

作者信息

Guyenet Stephan J, Furrer Stephanie A, Damian Vincent M, Baughan Travis D, La Spada Albert R, Garden Gwenn A

机构信息

Department of Biochemistry, University of Washington, USA.

出版信息

J Vis Exp. 2010 May 21(39):1787. doi: 10.3791/1787.

Abstract

We describe a protocol for the rapid and sensitive quantification of disease severity in mouse models of cerebella ataxia. It is derived from previously published phenotype assessments in several disease models, including spinocerebellar ataxias, Huntington s disease and spinobulbar muscular atrophy. Measures include hind limb clasping, ledge test, gait and kyphosis. Each measure is recorded on a scale of 0-3, with a combined total of 0-12 for all four measures. The results effectively discriminate between affected and non-affected individuals, while also quantifying the temporal progression of neurodegenerative disease phenotypes. Measures may be analyzed individually or combined into a composite phenotype score for greater statistical power. The ideal combination of the four described measures will depend upon the disorder in question. We present an example of the protocol used to assess disease severity in a transgenic mouse model of spinocerebellar ataxia type 7 (SCA7).

摘要

我们描述了一种用于快速、灵敏地量化小鼠小脑共济失调模型中疾病严重程度的方案。它源自先前在几种疾病模型中发表的表型评估,包括脊髓小脑共济失调、亨廷顿舞蹈症和脊髓延髓肌肉萎缩症。测量指标包括后肢紧握、边缘试验、步态和脊柱后凸。每个指标按0至3分进行记录,所有四个指标的总分在0至12分之间。这些结果有效地区分了患病个体和未患病个体,同时还量化了神经退行性疾病表型的时间进程。可以单独分析各项指标,也可以将它们组合成一个综合表型评分以提高统计效力。所描述的这四个指标的理想组合将取决于所讨论的疾病。我们给出了一个用于评估7型脊髓小脑共济失调(SCA7)转基因小鼠模型中疾病严重程度的方案示例。

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