Dynamics of positional information in the vertebrate neural tube.

IF 3.5 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Journal of The Royal Society Interface Pub Date : 2024-12-01 Epub Date: 2024-12-11 DOI:10.1098/rsif.2024.0414
Anđela Marković, James Briscoe, Karen M Page
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Abstract

In developing embryos, cells acquire distinct identities depending on their position in a tissue. Secreted signalling molecules, known as morphogens, act as long-range cues to provide the spatial information that controls these cell fate decisions. In several tissues, both the level and the duration of morphogen signalling appear to be important for determining cell fates. This is the case in the forming vertebrate nervous system where antiparallel morphogen gradients pattern the dorsal-ventral axis by partitioning the tissue into sharply delineated domains of molecularly distinct neural progenitors. How information in the gradients is decoded to generate precisely positioned boundaries of gene expression remains an open question. Here, we adopt tools from information theory to quantify the positional information in the neural tube and investigate how temporal changes in signalling could influence positional precision. The results reveal that the use of signalling dynamics, as well as the signalling level, substantially increases the precision possible for the estimation of position from morphogen gradients. This analysis links the dynamics of opposing morphogen gradients with precise pattern formation and provides an explanation for why time is used to impart positional information.

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脊椎动物神经管中位置信息的动力学。
在发育中的胚胎中,细胞根据其在组织中的位置获得不同的身份。分泌的信号分子,被称为形态因子,作为远程线索提供控制这些细胞命运决定的空间信息。在一些组织中,形态素信号传导的水平和持续时间似乎对决定细胞命运很重要。这是脊椎动物形成神经系统的情况,通过将组织划分为分子上截然不同的神经祖细胞的清晰划分域,反平行形态梯度形成背腹轴。如何解码梯度中的信息以产生精确定位的基因表达边界仍然是一个悬而未决的问题。在这里,我们采用信息论的工具来量化神经管中的位置信息,并研究信号的时间变化如何影响位置精度。结果表明,信号动力学的使用,以及信号水平,大大提高了从形态梯度估计位置的精度。这种分析将相反形态梯度的动力学与精确的模式形成联系起来,并解释了为什么时间被用来传递位置信息。
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来源期刊
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
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