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用于神经元分层分析的斑马鱼视网膜细胞的解离与重聚集

Disaggregation and Reaggregation of Zebrafish Retinal Cells for the Analysis of Neuronal Layering.

作者信息

Eldred Megan K, Muresan Leila, Harris William A

机构信息

Department of Physiology, Development and Neuroscience, Cambridge University, Cambridge, UK.

出版信息

Methods Mol Biol. 2019;1576:255-271. doi: 10.1007/7651_2017_46.

Abstract

The reaggregation of dissociated cells to form organotypic structures provides an in vitro system for the analysis of the cellular interactions and molecular mechanisms involved in the formation of tissue architecture. The retina, an outgrowth of the forebrain, is a precisely layered neural tissue, yet the mechanisms underlying layer formation are largely unexplored. Here we describe the protocol to dissociate, re-aggregate, and culture zebrafish retinal cells from a transgenic, Spectrum of Fates, line where all main cell types are labelled with a combination of fluorescent proteins driven by fate-specific promoters. These cells re-aggregate and self-organize in just 48 h in minimal culture conditions. We also describe how the patterning in these aggregates can be analyzed using isocontour profiling to compare whether different conditions affect their self-organization.

摘要

解离的细胞重新聚集形成器官型结构,为分析参与组织结构形成的细胞相互作用和分子机制提供了一个体外系统。视网膜是前脑的延伸部分,是一种精确分层的神经组织,然而层形成背后的机制在很大程度上尚未被探索。在这里,我们描述了从一个转基因的命运谱系系中解离、重新聚集和培养斑马鱼视网膜细胞的方案,在这个谱系中,所有主要细胞类型都由命运特异性启动子驱动的荧光蛋白组合标记。这些细胞在最小培养条件下只需48小时就能重新聚集并自我组织。我们还描述了如何使用等值线分析来分析这些聚集体中的模式,以比较不同条件是否会影响它们的自我组织。

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