3D PROTEOME MAPPING BRAIN RELATED DISEASES

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 我们已经重建了小鼠大脑冠状切片上2万个基因的基因表达的二维图像。冠状切面位于纹状体水平，并使用微阵列和体素分析，其中大脑被划分为空间注册的立方体或体素。分辨率为1mm3。已知的和新的基因被识别出来，表达模式定位于大脑中特定的亚结构。此外，具有意想不到的模式的基因被识别出来，聚类分析发现了一组背侧/腹侧表达梯度的基因，这些基因不限于已知的解剖边界。用LC-FTICR对同一切片进行Voxelation分析，结果与转录数据吻合较好。在这里，我们建议为整个正常小鼠大脑和帕金森氏病(PD)小鼠模型的大脑创建3D体素表达图。由此产生的地图将成为神经科学界的宝贵工具。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. We have reconstructed 2-dimensional images of gene expression for 20,000 genes in a coronal slice of the mouse brain. The coronal section was at the level of the striatum and was analyzed using microarrays and voxelation, in which the brain is divided into spatially registered cubes or voxels. The resolution was 1 mm3. Known and novel genes were identified with expression patterns localized to defined substructures within the brain. In addition, genes with unexpected patterns were identified and cluster analysis identified a set of genes with a gradient of dorsal/ventral expression not restricted to known anatomical boundaries. Voxelation analysis of the same section using LC-FTICR revealed good agreement with the transcript data. Here, we propose to create 3D voxelation maps of protein expression for the entire normal mouse brain and brains from mouse models of Parkinson's disease (PD). The resulting maps will be a valuable tool for the neuroscientific community.