以细胞分辨率登记果蝇胚胎,建立基因表达模式和形态的定量3D图谱

Charless C. Fowlkes, Jitendra Malik, C. L. Hendriks, S. Keränen, M. Biggin, D. W. Knowles, D. Sudar
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引用次数: 11

摘要

伯克利果蝇转录网络项目正在开发一套方法,将共聚焦荧光显微镜产生的体积数据转换为细胞分辨率下基因表达的三维数值表示。一个关键的困难是荧光显微镜只能捕捉到特定动物中少数基因产物的表达水平。我们报告了一种方法,用于注册来自不同果蝇胚胎的3D表达数据,以建立一个复合图谱,最终包含数千个基因的共表达信息。我们的技术还发现了囊胚中细胞密度的复杂模式,这种模式随着时间的推移而变化,可能在原肠胚形成中发挥作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Registering Drosophila embryos at cellular resolution to build a quantitative 3D atlas of gene expression patterns and morphology
The Berkeley Drosophila Transcription Network Project is developing a suite of methods to convert volumetric data generated by confocal fluorescence microscopy into numerical three dimensional representations of gene expression at cellular resolution. One key difficulty is that fluorescence microscopy can only capture expression levels for a few gene products in a given animal. We report on a method for registering 3D expression data from different Drosophila embryos stained for overlapping subsets of gene products in order to build a composite atlas, ultimately containing co-expression information for thousands of genes. Our techniques have also allowed the discovery of a complex pattern of cell density across the blastula that changes over time and may play a role in gastrulation.
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