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Exploring the evolution of the neuromesodermal progenitor population in the anamniote to amniote transition

探索羊膜动物到羊膜动物过渡过程中神经中胚层祖细胞群的进化

基本信息

批准号：
1804952
负责人：
金额：
--
依托单位：
University of Cambridge
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1804952
关键词：
Exploring evolution neuromesodermal progenitor population

项目摘要

Theme: World-Class Underpinning BioscienceNeuromesodermal progenitors (NMps) have been well characterised in mouse and chick embryos, but not in anamniote embryos. This PhD project will investigate the role of NMps in zebrafish development, and compare this to what is currently known from amniote studies. I will also carry out some work on other organisms, including chick and catshark embryos, and potentially others. This will all be done using methods such as in situ hybridisation chain reaction (HCR); live imaging; cell lineage tracing; functional perturbations; and morphometric analyses. Together, these lines of investigation will help us to construct models of NMp behaviour in different vertebrates, and this will provide insight into how and why shared developmental programmes have evolved in different ways among the vertebrates. The HCR method is a relatively new method which provides quantitative, sub-cellular resolution gene expression data. Using confocal imaging and Imaris software, I will analyse this data, as well as carry out morphometric analyses. Both of these lines of investigation will also involve some statistical analysis. Additionally, we hope to work with a prospective post-doctoral fellow to create mathematical models of our observations.

布景主题：神经中胚层祖细胞（NMps）在小鼠和鸡胚胎中得到了很好的表征，但在安纳托利亚人胚胎中却没有。这个博士项目将调查NMps在斑马鱼发育中的作用，并将其与目前已知的斑马鱼研究进行比较。我还将对其他生物体进行一些研究，包括鸡和猫鲨胚胎，以及其他潜在的生物体。这将全部使用诸如原位杂交链式反应（HCR）、活体成像、细胞谱系追踪、功能扰动和形态测定分析等方法来完成。总之，这些调查将有助于我们构建不同脊椎动物的NMP行为模型，这将提供深入了解如何以及为什么共享的发展计划在脊椎动物中以不同的方式进化。HCR方法是一种相对较新的方法，可提供定量的亚细胞分辨率基因表达数据。使用共聚焦成像和Imaris软件，我将分析这些数据，以及进行形态学分析。这两种调查路线也将涉及一些统计分析。此外，我们希望与一位未来的博士后研究员合作，为我们的观察创建数学模型。