Genome-wide atlas of gene expression in the adult mouse brain
Genome-wide atlas of gene expression in the adult mouse brain
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DOI：
10.1038/nature05453
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发表时间：
2007-01-11
期刊：
影响因子：
64.8
通讯作者：
Jones, Allan R.
中科院分区：
文献类型：
--
作者：
Lein, Ed S.;Hawrylycz, Michael J.;Jones, Allan R.
了解神经系统功能回路的分子方法有望对基因，大脑和行为之间的关系提供新的见解。大脑的细胞多样性需要一种细胞分辨率方法来理解神经系统的功能基因组学。我们在这里描述了一个解剖学上全面的数字图谱，其中包含了成年小鼠大脑中20,000个基因的表达模式。使用自动化高通量原位杂交和数据采集程序生成数据，并可在线公开访问。新开发的基于图像的信息学工具允许全球基因组规模的结构分析和交叉相关，以及区域富集基因的识别。无偏精细分辨率分析已经确定了高度特异性的细胞标记物以及在经典神经解剖图谱中不明显的细胞异质性的广泛证据。这个高度标准化的图谱为有关大脑组织和功能的各种进一步研究提供了一个开放的主要数据资源。
Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive digital atlas containing the expression patterns of,20,000 genes in the adult mouse brain. Data were generated using automated high-throughput procedures for in situ hybridization and data acquisition, and are publicly accessible online. Newly developed image-based informatics tools allow global genome-scale structural analysis and cross-correlation, as well as identification of regionally enriched genes. Unbiased fine-resolution analysis has identified highly specific cellular markers as well as extensive evidence of cellular heterogeneity not evident in classical neuroanatomical atlases. This highly standardized atlas provides an open, primary data resource for a wide variety of further studies concerning brain organization and function.