A quantitative spatiotemporal atlas of gene expression in the Drosophila blastoderm
A quantitative spatiotemporal atlas of gene expression in the Drosophila blastoderm
复制标题
DOI：
10.1016/j.cell.2008.01.053
复制
发表时间：
2008-04-18
期刊：
影响因子：
64.5
通讯作者：
Malik, Jitendra
中科院分区：
文献类型：
--
作者：
Fowlkes, Charless C.;Luengo Hendriks, Cris L.;Malik, Jitendra
为了全面了解动物转录网络，必须准确测量转录因子及其靶标的时空表达模式。我们描述了一种注册技术，需要基于图像的数据从数百个果蝇胚盘胚胎，每个costained的参考基因和一组感兴趣的基因之一，并建立一个模型VirtualEmbryo。该模型在一个共同的框架中捕获了许多基因的平均表达模式，尽管个体胚胎之间的形态和表达存在显着差异。我们建立了该方法的准确性，通过显示从模型推断的一对基因表达之间的关系几乎与在胚胎中测量的对共染色的基因表达之间的关系相同。我们提出了一个包含95个基因在6个时间队列的数据的VirtualEmbryo。我们发现，已知的基因调控相互作用可以从这个数据集自动恢复，并预测数百个新的相互作用。
To fully understand animal transcription networks, it is essential to accurately measure the spatial and temporal expression patterns of transcription factors and their targets. We describe a registration technique that takes image-based data from hundreds of Drosophila blastoderm embryos, each costained for a reference gene and one of a set of genes of interest, and builds a model VirtualEmbryo. This model captures in a common framework the average expression patterns for many genes in spite of significant variation in morphology and expression between individual embryos. We establish the method's accuracy by showing that relationships between a pair of genes' expression inferred from the model are nearly identical to those measured in embryos costained for the pair. We present a VirtualEmbryo containing data for 95 genes at six time cohorts. We show that known gene-regulatory interactions can be automatically recovered from this data set and predict hundreds of new interactions.