Shores Kevin S, Knapp Daniel R
Department of Pharmacology and MUSC Proteomics Center, Medical University of South Carolina, Charleston, South Carolina 29425, USA.
J Proteome Res. 2007 Sep;6(9):3739-51. doi: 10.1021/pr070293w. Epub 2007 Aug 16.
Optimal proteomic analysis of human cerebrospinal fluid (CSF) requires depletion of high-abundance proteins to facilitate observation of low-abundance proteins. The performance of two immunodepletion (MARS, Agilent Technologies and ProteoSeek, Pierce Biotechnology) and one ultrafiltration (50 kDa molecular weight cutoff filter, Millipore Corporation) methods for depletion of abundant CSF proteins were compared using a graphical method to access the depth of analysis using "marker proteins" with known normal concentration ranges. Two-dimensional LC/MS/MS analysis of each depleted sample yielded 171 and 163 unique protein identifications using the MARS and ProteoSeek immunodepletion methods, respectively, while only 46 unique proteins were identified using a 50 kDa molecular weight cutoff filter. The relative abundance of the identified proteins was estimated using total spectrum counting and compared to the concentrations of 45 known proteins in CSF as markers of the analysis depth. Results of this work suggest a clear need for methodology designed specifically for depletion of high-abundance proteins in CSF, as depletion methods designed to deplete high-abundance serum proteins showed little improvement in analysis depth compared to analysis without depletion. The marker protein method should be generally useful for assessing depth of analysis in the comparison of proteomic analysis methods.
对人类脑脊液(CSF)进行最佳蛋白质组学分析需要去除高丰度蛋白质,以便于观察低丰度蛋白质。使用一种图形化方法,通过已知正常浓度范围的“标记蛋白”来评估分析深度,比较了两种免疫去除方法(MARS,安捷伦科技公司;ProteoSeek,皮尔斯生物技术公司)和一种超滤方法(截留分子量为50 kDa的滤膜,密理博公司)去除脑脊液中丰度较高蛋白质的性能。对每个去除后的样本进行二维液相色谱/串联质谱分析,使用MARS和ProteoSeek免疫去除方法分别得到了171种和163种独特的蛋白质鉴定结果,而使用截留分子量为50 kDa的滤膜仅鉴定出46种独特蛋白质。使用总谱计数法估计鉴定出的蛋白质的相对丰度,并将其与脑脊液中45种已知蛋白质作为分析深度标记物的浓度进行比较。这项工作的结果表明,显然需要专门设计用于去除脑脊液中高丰度蛋白质的方法,因为与未去除的分析相比,旨在去除高丰度血清蛋白质的去除方法在分析深度上几乎没有改善。标记蛋白方法在比较蛋白质组学分析方法时,通常可用于评估分析深度。