Division of Developmental Biology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, United States.
Division of Developmental Biology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, United States; Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20742, United States.
Methods. 2018 Nov 1;150:49-62. doi: 10.1016/j.ymeth.2018.06.008. Epub 2018 Jun 21.
Large-scale genomic studies have recently identified genetic variants causative for major neurodevelopmental disorders, such as intellectual disability and autism. However, determining how underlying developmental processes are affected by these mutations remains a significant challenge in the field. Zebrafish is an established model system in developmental neurogenetics that may be useful in uncovering the mechanisms of these mutations. Here we describe the use of voxel-intensity, deformation field, and volume-based morphometric techniques for the systematic and unbiased analysis of gene knock-down and environmental exposure-induced phenotypes in zebrafish. We first present a computational method for brain segmentation based on transgene expression patterns to create a comprehensive neuroanatomical map. This map allowed us to disclose statistically significant changes in brain microstructure and composition in neurodevelopmental models. We demonstrate the effectiveness of morphometric techniques in measuring changes in the relative size of neuroanatomical subdivisions in atoh7 morphant larvae and in identifying phenotypes in larvae treated with valproic acid, a chemical demonstrated to increase the risk of autism in humans. These tools enable rigorous evaluation of the effects of gene mutations and environmental exposures on neural development, providing an entry point for cellular and molecular analysis of basic developmental processes as well as neurodevelopmental and neurodegenerative disorders.
大规模基因组研究最近确定了导致重大神经发育障碍(如智力障碍和自闭症)的遗传变异。然而,确定这些突变如何影响潜在的发育过程仍然是该领域的一个重大挑战。斑马鱼是发育神经遗传学中一种成熟的模型系统,可能有助于揭示这些突变的机制。在这里,我们描述了使用体素强度、变形场和基于体积的形态计量技术,对斑马鱼中的基因敲低和环境暴露诱导表型进行系统和无偏分析。我们首先提出了一种基于转基因表达模式的大脑分割计算方法,以创建全面的神经解剖图谱。该图谱使我们能够揭示神经发育模型中大脑微观结构和组成的统计学显著变化。我们证明了形态计量技术在测量 atoh7 突变体幼虫神经解剖学细分相对大小变化和识别丙戊酸处理幼虫表型方面的有效性,丙戊酸是一种在人类中增加自闭症风险的化学物质。这些工具能够严格评估基因突变和环境暴露对神经发育的影响,为基础发育过程以及神经发育和神经退行性疾病的细胞和分子分析提供切入点。