Proteomics and Metabolomics Unit, Institute for Biomedical Technologies-CNR, Via Fratelli Cervi 93, I-20090 Segrate, Milan, Italy.
J Chromatogr A. 2010 Aug 13;1217(33):5328-36. doi: 10.1016/j.chroma.2010.06.045. Epub 2010 Jun 25.
Since red blood cells (RBCs) lack nuclei and organelles, cell membrane is their main load-bearing component and, according to a dynamic interaction with the cytoskeleton compartment, plays a pivotal role in their functioning. Even if erythrocyte membranes are available in large quantities, the low abundance and the hydrophobic nature of cell membrane proteins complicate their purification and detection by conventional 2D gel-based proteomic approaches. So, in order to increase the efficiency of RBC membrane proteome identification, here we took advantage of a simple and reproducible membrane sub-fractionation method coupled to Multidimensional Protein Identification Technology (MudPIT). In addition, the adoption of a stringent RBC filtration strategy from the whole blood, permitted to remove exhaustively contaminants, such as platelets and white blood cells, and to identify a total of 275 proteins in the three RBC membrane fractions collected and analysed. Finally, by means of software for the elaboration of the great quantity of data obtained and programs for statistical analysis and protein classification, it was possible to determine the validity of the entire system workflow and to assign the proper sub-cellular localization and function for the greatest number of the identified proteins.
由于红细胞(RBC)缺乏细胞核和细胞器,细胞膜是其主要的承重成分,并根据与细胞骨架区室的动态相互作用,在其功能中发挥关键作用。即使红细胞膜的数量很大,细胞膜蛋白的低丰度和疏水性也使它们难以通过传统的基于 2D 凝胶的蛋白质组学方法进行纯化和检测。因此,为了提高 RBC 膜蛋白质组鉴定的效率,我们在这里利用了一种简单且可重复的膜亚部分分级方法,结合多维蛋白质鉴定技术(MudPIT)。此外,从全血中采用严格的 RBC 过滤策略,可彻底去除血小板和白细胞等污染物,并在收集和分析的三个 RBC 膜部分中鉴定出总共 275 种蛋白质。最后,通过用于处理大量数据的软件以及用于统计分析和蛋白质分类的程序,确定了整个系统工作流程的有效性,并为大多数鉴定出的蛋白质分配了适当的亚细胞定位和功能。