Park Christopher C, Petyuk Vladislav A, Qian Wei-Jun, Smith Richard D, Smith Desmond J
Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Expert Rev Proteomics. 2009 Jun;6(3):243-9. doi: 10.1586/epr.09.46.
Integrating quantitative proteomic and transcriptomic datasets promises valuable insights in unraveling the molecular mechanisms of the brain. We concentrate on recent studies using mass spectrometry and microarray data to investigate transcript and protein abundance in normal and diseased neural tissues. Highlighted are dual spatial maps of these molecules obtained using voxelation of the mouse brain. We demonstrate that the relationship between transcript and protein levels displays a specific anatomical distribution, with greatest fidelity in midline structures and the hypothalamus. Genes are also identified that have strong correlations between mRNA and protein abundance. In addition, transcriptomic and proteomic analysis of mouse models of Parkinson's disease are discussed.
整合定量蛋白质组学和转录组学数据集有望为揭示大脑的分子机制提供有价值的见解。我们专注于近期利用质谱和微阵列数据来研究正常和患病神经组织中转录本和蛋白质丰度的研究。重点介绍了通过对小鼠大脑进行体素化获得的这些分子的双重空间图谱。我们证明转录本和蛋白质水平之间的关系呈现出特定的解剖学分布，在中线结构和下丘脑处具有最高的一致性。还鉴定出了在mRNA和蛋白质丰度之间具有强相关性的基因。此外，还讨论了帕金森病小鼠模型的转录组学和蛋白质组学分析。
