Towards an integrated view and understanding of embryonic signalling during murine gastrulation.

IF 2.1 4区 生物学 Q3 DEVELOPMENTAL BIOLOGY
Rhanna R Haantjes, Jeske Strik, Joëlle de Visser, Marten Postma, Renée van Amerongen, Antonius L van Boxtel
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引用次数: 0

Abstract

At the onset of mammalian gastrulation, secreted signalling molecules belonging to the Bmp, Wnt, Nodal and Fgf signalling pathways induce and pattern the primitive streak, marking the start for the cellular rearrangements that generate the body plan. Our current understanding of how signalling specifies and organises the germ layers in three dimensions, was mainly derived from genetic experimentation using mouse embryos performed over many decades. However, the exact spatiotemporal sequence of events is still poorly understood, both because of a lack of tractable models that allow for real time visualisation of signalling and differentiation and because of the molecular and cellular complexity of these early developmental events. In recent years, a new wave of in vitro embryo models has begun to shed light on the dynamics of signalling during primitive streak formation. Here we discuss the similarities and differences between a widely adopted mouse embryo model, termed gastruloids, and real embryos from a signalling perspective. We focus on the gene regulatory networks that underlie signalling pathway interactions and outline some of the challenges ahead. Finally, we provide a perspective on how embryo models may be used to advance our understanding of signalling dynamics through computational modelling.

对小鼠原肠胚形成过程中胚胎信号传导的综合认识和理解。
在哺乳动物原肠胚形成开始时,属于Bmp、Wnt、Nodal和Fgf信号通路的分泌信号分子诱导并形成原始条纹,标志着产生身体计划的细胞重排的开始。我们目前对信号如何在三维空间中指定和组织胚层的理解,主要来自于几十年来对小鼠胚胎进行的基因实验。然而,事件的确切时空序列仍然知之甚少,这既是因为缺乏可用于实时可视化信号和分化的可处理模型,也是因为这些早期发育事件的分子和细胞复杂性。近年来,一波新的体外胚胎模型开始揭示原始条纹形成过程中的信号动力学。在这里,我们从信号传导的角度讨论了广泛采用的小鼠胚胎模型(称为类胃原肠)与真实胚胎之间的异同。我们将重点关注信号通路相互作用的基因调控网络,并概述未来的一些挑战。最后,我们提供了一个关于胚胎模型如何通过计算建模来推进我们对信号动力学的理解的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cells & Development
Cells & Development DEVELOPMENTAL BIOLOGY-
CiteScore
3.70
自引率
0.00%
发文量
33
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