Analysing the developing brain transcriptome with the GenePaint platform

被引：12

作者：

Alvarez-Bolado, Gonzalo ^{[1
]}

Eichele, Gregor ^{[1
]}

机构：

[1] Max Planck Inst Biophys Chem, D-37077 Gottingen, Germany

来源：

JOURNAL OF PHYSIOLOGY-LONDON | 2006年 / 575卷 / 02期

关键词：

D O I：

10.1113/jphysiol.2006.112763

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

We discuss technical means by which the complexity of gene and protein signalling cascades can be projected onto the complex structure of the mammalian brain. We argue that this requires both robotics and novel computational tools to register images of gene expression, annotate expression patterns and quantify gene expression. When sufficiently enriched and detailed, such gene expression/neuroanatomical atlases are hypothesis-generating tools and contain in themselves much of the information needed to investigate function in normal and genetically or otherwise modified brains. To be successful and useful, data-rich and comprehensive gene expression/neuroanatomical atlases have to be web accessible and structured in a way that allows the application of data exploration and mining tools.

引用

页码：347 / 352

页数：6

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