Transcriptome and proteome mapping of the mouse brain

描述（由申请人提供）：后基因组生物学的一个主要目标是了解一维（1D）基因组如何导致哺乳动物大脑惊人的 3D 复杂性。为了解决这个问题，有必要在全基因组水平上绘制转录本、蛋白质及其在大脑中形成的网络的空间图谱。在这个生物工程研究合作伙伴关系中，三个具有互补专业知识和既定合作历史的小组将联合起来实现这一目标。 (1) 在加州大学洛杉矶分校，Desmond Smith 将以 11 ul 和 1 ul 的体积分辨率绘制小鼠大脑全基因组范围内的基因表达模式图。该项目将采用微阵列技术与体素分析相结合，体素分析是一种快速获取大脑表达模式的方法。 (2) 在 PNNL，Dick Smith 将使用体素分析技术，利用质谱 (FT-ICR MS) 高通量绘制蛋白质表达模式图，同样分辨率为 11 ul 和 1 ul。 (3) 在南加州大学，Richard Leahy 将对前 2 项生成的数据进行图像分析，旨在创建 3D 转录本和蛋白质图谱，并从生成的大型多元数据集中提取含义。因此，前两个目标将在哺乳动物大脑的3D空间中显示转录组和蛋白质组之间的关系，而第三个目标将在基因组的概念ID空间中显示大脑转录组和蛋白质组之间的关系。

DESCRIPTION (provided by applicant): A major goal for post-genomic biology will be to understand how the one dimensional (1D) genome gives rise to the staggering 3D complexity of the mammalian brain. To address this problem, it will be necessary to spatially map transcripts, proteins, and the networks they form in the brain at a genome-wide level. In this Bioengineering Research Partnership, 3 groups with complementary expertise and an established history of collaboration will combine forces to achieve this goal. (1) At UCLA, Desmond Smith will map gene expression patterns at a genome-wide scale in the mouse brain at volumetric resolutions of 11 ul and 1 ul. This project will employ microarray technology in combination with voxelation, a method for rapid acquisition of expression patterns in the brain. (2) At PNNL, Dick Smith will use voxelation to map protein expression patterns at high throughput using mass spectrometry (FT-ICR MS), again at resolutions of 11 ul and 1 ul. (3) At USC, Richard Leahy will perform image analysis of the data produced by the first 2 aims to create 3D transcript and protein atlases and to extract meaning from the large multivariate data sets that will result. Thus, the first 2 aims will display the relationship between the transcriptome and the proteome in the 3D space of mammalian brain, while the third aim will display the relationships between the brain transcriptome and proteome in the conceptual ID space of the genome.