High-throughput imaging of brain gene expression
High-throughput imaging of brain gene expression
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DOI：
10.1101/gr.204102
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发表时间：
2002-02-01
期刊：
影响因子：
7
通讯作者：
Smith, DJ
中科院分区：
文献类型：
--
作者：
Brown, VM;Ossadtchi, A;Smith, DJ
Voxelation是一种获取脑内三维基因表达模式的新方法。它使用空间配准体素(立方体)的高通量分析来产生多个基因表达的体积图，类似于在生物医学成像系统中重建的图像。利用微阵列，获得了2000个基因的24个体素图像，包括正常人大脑和阿尔茨海默病患者大脑海马区水平的冠状切面。分析揭示了共同调控基因的共同网络，并允许识别可能的控制区。此外，奇异值分解(SVD)是一种用于对复杂数据集提供经济解释的数学方法，它产生的图像可以区分大脑结构，包括皮质、尾状核和海马体。结果表明，体素消除将是了解基因组如何构建大脑的有用方法。
Voxelation is a new method for acquisition of three dimensional (3D) gene expression patterns in the brain. It employs high-throughput analysis of spatially registered voxels (cubes) to produce multiple volumetric maps of gene expression analogous to the images reconstructed in biomedical imaging systems. Using microarrays, 24 voxel images of coronal hemisections at the level of the hippocampus of both the normal human brain and Alzheimer's disease brain were acquired for 2000 genes. The analysis revealed a common network of coregulated genes, and allowed identification of putative control regions. In addition, singular value decomposition (SVD), a mathematical method used to provide economical explanations of complex data sets, produced images that distinguished between brain structures, including cortex, caudate, and hippocampus. The results suggest that voxelation will be a useful approach for understanding how the genome constructs the brain.