Transcriptome and proteome mapping of the mouse brain

描述(申请人提供)：后基因组生物学的一个主要目标将是了解一维(1D)基因组如何引起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。在这一生物工程研究伙伴关系中，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将在基因组范围内以11 ul和1 ul的体积分辨率绘制小鼠大脑中的基因表达模式。该项目将使用微阵列技术与体素释放相结合，体素释放是一种快速获取大脑表达模式的方法。(2)在PNNL，Dick Smith将使用Voxelation使用质谱仪(FT-ICR MS)以高通量绘制蛋白质表达模式，同样是在11 ul和1 ul的分辨率下。(3)在南加州大学，Richard Leahy将对前两个目标产生的数据进行图像分析，以创建3D文字记录和蛋白质图谱，并从将产生的大型多变量数据集中提取含义。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.