Department of Integrative Biology, University of Wisconsin, Madison, Wisconsin.
Department of Neuroscience, University of Wisconsin, Madison, Wisconsin.
Dev Dyn. 2019 Aug;248(8):626-633. doi: 10.1002/dvdy.41. Epub 2019 May 1.
Evolutionary conservation and experimental tractability have made animal model systems invaluable tools in our quest to understand human embryogenesis, both normal and abnormal. Standard genetic approaches, particularly useful in understanding monogenic diseases, are no longer sufficient as research attention shifts toward multifactorial outcomes. Here, we examine this progression through the lens of holoprosencephaly (HPE), a common human malformation involving incomplete forebrain division, and a classic example of an etiologically complex outcome. We relate the basic underpinning of HPE pathogenesis to critical cell-cell interactions and signaling molecules discovered through embryological and genetic approaches in multiple model organisms, and discuss the role of the mouse model in functional examination of HPE-linked genes. We then outline the most critical remaining gaps to understanding human HPE, including the conundrum of incomplete penetrance/expressivity and the role of gene-environment interactions. To tackle these challenges, we outline a strategy that leverages new and emerging technologies in multiple model systems to solve the puzzle of HPE.
进化保守性和实验可操作性使动物模型系统成为我们理解人类胚胎发生(正常和异常)的宝贵工具。标准的遗传方法,特别是在理解单基因疾病方面非常有用,但随着研究重点转向多因素结果,这种方法已经不再足够。在这里,我们通过全前脑(HPE)的视角来研究这种进展,HPE 是一种涉及前脑不完全分裂的常见人类畸形,也是一种具有复杂病因的典型结果。我们将 HPE 发病机制的基本基础与通过多种模式生物的胚胎学和遗传学方法发现的关键细胞-细胞相互作用和信号分子联系起来,并讨论了小鼠模型在 HPE 相关基因功能研究中的作用。然后,我们概述了理解人类 HPE 最关键的剩余差距,包括不完全外显率/表达率的难题和基因-环境相互作用的作用。为了解决这些挑战,我们概述了一种利用多种模型系统中的新技术和新兴技术来解决 HPE 难题的策略。
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