Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Methods. 2010 Feb;50(2):77-84. doi: 10.1016/j.ymeth.2009.07.009. Epub 2009 Aug 3.
Voxelation creates expression atlases by high-throughput analysis of spatially registered cubes or voxels harvested from the brain. The modality independence of voxelation allows a variety of bioanalytical techniques to be used to map abundance. Protein expression patterns in the brain can be obtained using liquid chromatography (LC) combined with mass spectrometry (MS). Here we describe the methodology of voxelation as it pertains particularly to LC-MS proteomic analysis: sample preparation, instrumental set up and analysis, peptide identification and protein relative abundance quantitation. We also briefly describe some of the advantages, limitations and insights into the brain that can be obtained using combined proteomic and transcriptomic maps.
体素化通过高通量分析从大脑中采集的空间配准的立方体或体素来创建表达图谱。体素化的模式独立性允许使用各种生物分析技术来映射丰度。可以使用液相色谱 (LC) 与质谱 (MS) 结合来获得大脑中的蛋白质表达模式。在这里，我们描述了特别适用于 LC-MS 蛋白质组学分析的体素化方法学：样品制备、仪器设置和分析、肽鉴定和蛋白质相对丰度定量。我们还简要描述了使用组合蛋白质组学和转录组学图谱可以获得的一些优势、限制和对大脑的深入了解。
