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首页> 外文期刊>eLife journal >MicroCT-based phenomics in the zebrafish skeleton reveals virtues of deep phenotyping in a distributed organ system
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MicroCT-based phenomics in the zebrafish skeleton reveals virtues of deep phenotyping in a distributed organ system

机译:斑马鱼骨架中基于MicroCT的表型学揭示了分布式器官系统中深表型的优点

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Phenomics, which ideally involves in-depth phenotyping at the whole-organism scale, may enhance our functional understanding of genetic variation. Here, we demonstrate methods to profile hundreds of phenotypic measures comprised of morphological and densitometric traits at a large number of sites within the axial skeleton of adult zebrafish. We show the potential for vertebral patterns to confer heightened sensitivity, with similar specificity, in discriminating mutant populations compared to analyzing individual vertebrae in isolation. We identify phenotypes associated with human brittle bone disease and thyroid stimulating hormone receptor hyperactivity. Finally, we develop allometric models and show their potential to aid in the discrimination of mutant phenotypes masked by alterations in growth. Our studies demonstrate virtues of deep phenotyping in a spatially distributed organ system. Analyzing phenotypic patterns may increase productivity in genetic screens, and facilitate the study of genetic variants associated with smaller effect sizes, such as those that underlie complex diseases.
机译:理想上涉及在整个有机体范围内进行深入表型化的表型学,可能会增强我们对遗传变异的功能理解。在这里,我们展示了对成年斑马鱼轴向骨架内大量部位的形态和光密度特征构成的数百个表型量度进行分析的方法。我们显示出与分离分析单独的椎骨相比,椎骨图案可以以相似的特异性提高灵敏度,具有相似的特异性。我们确定与人类脆性骨病和甲状腺刺激激素受体亢进相关的表型。最后,我们开发了异速生长模型,并显示了它们的潜力,可帮助识别被生长变化掩盖的突变表型。我们的研究证明了在空间分布的器官系统中进行深表型分析的优点。分析表型模式可以提高遗传筛选的生产率,并有助于研究与较小效应大小相关的遗传变异,例如那些构成复杂疾病的遗传变异。

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