Institute of Biotechnology, Cornell University, Ithaca, NY, USA.
Institute of Animal Science and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, P. R. China.
Electrophoresis. 2018 Sep;39(18):2332-2339. doi: 10.1002/elps.201800042. Epub 2018 Apr 25.
Proteomic analysis of membrane proteins is challenged by the proteins solubility and detergent incompatibility with MS analysis. No single perfect protocol can be used to comprehensively characterize the proteome of membrane fraction. Here, we used cow milk fat globule membrane (MFGM) proteome analysis to assess six sample preparation procedures including one in-gel and five in-solution digestion approaches prior to LC-MS/MS analysis. The largest number of MFGM proteins were identified by suspension trapping (S-Trap) and filter-aided sample preparation (FASP) methods, followed by acetone precipitation without clean-up of tryptic peptides method. Protein identifications with highest average coverage was achieved by Chloroform/MeOH, in-gel and S-Trap methods. Most distinct proteins were identified by FASP method, followed by S-Trap. Analyses by Venn diagram, principal-component analysis, hierarchical clustering and the abundance ranking of quantitative proteins highlight differences in the MFGM fraction by the all sample preparation procedures. These results reveal the biased proteins/peptides loss occurred in each protocol. In this study, we found several novel proteins that were not observed previously by in-depth proteomics characterization of MFGM fraction in milk. Thus, a combination of multiple procedures with orthologous properties of sample preparation was demonstrated to improve the protein sequence coverage and expression level accuracy of membrane samples.
膜蛋白的蛋白质组学分析受到蛋白质溶解度和与 MS 分析不兼容的去污剂的挑战。没有单一的完美方案可以全面描述膜部分的蛋白质组。在这里,我们使用牛乳脂肪球膜 (MFGM) 蛋白质组分析来评估六种样品制备程序,包括凝胶内和五种溶液内消化方法,然后进行 LC-MS/MS 分析。通过悬浮捕获 (S-Trap) 和过滤辅助样品制备 (FASP) 方法鉴定出最多数量的 MFGM 蛋白,其次是没有胰蛋白酶肽清洗的丙酮沉淀方法。使用氯仿/甲醇、凝胶内和 S-Trap 方法获得了最高平均覆盖率的蛋白质鉴定。通过 FASP 方法鉴定出最独特的蛋白质,其次是 S-Trap。通过 Venn 图、主成分分析、层次聚类和定量蛋白质的丰度排名分析,突出了所有样品制备程序对 MFGM 级分的差异。这些结果揭示了每个方案中发生的偏向性蛋白质/肽丢失。在这项研究中,我们发现了一些以前在牛奶中 MFGM 部分的深度蛋白质组学特征分析中未观察到的新蛋白质。因此,证明了具有同源样品制备特性的多种程序的组合可以提高膜样品的蛋白质序列覆盖率和表达水平准确性。