Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800, Penang, Malaysia.
Malaysia Genome Institute, National Institutes of Biotechnology Malaysia (NIBM), Jalan Bangi, 43400, Kajang, Selangor Darul Ehsan, Malaysia.
Proteomics. 2018 Dec;18(23):e1700397. doi: 10.1002/pmic.201700397. Epub 2018 Oct 25.
Entamoeba histolytica membrane proteins are important players toward the pathogenesis of amoebiasis, but the roles of most of the proteins are not fully understood. Since efficient protein extraction method is crucial for a successful MS analysis, three extractions methods are evaluated for the use in studying the membrane proteome of E. histolytica: Two commercial kits (ProteoExtract from Calbiochem and ProteoPrep from Sigma), and a conventional laboratory method. The results show that ProteoExtract and the conventional method gave higher protein yields compared to ProteoPrep. LC-ESI-MS/MS identifies 456, 482, and 551 membrane fraction proteins extracted using ProteoExtract, ProteoPrep, and a conventional method, respectively. In silico analysis predicts 108 (21%), 235 (45%), and 177 (34%) membrane proteins from the extracts of ProteoExtract, ProteoPrep, and the conventional method, respectively. Furthermore, analysis of the cytosolic and membrane fractions shows the highest selectivity of the membrane proteins using the ProteoPrep extraction kit. Overall, this study reports 828 E. histolytica membrane fraction proteins that include 249 predicted membrane proteins. The data are available via ProteomeXchange with identifier PXD010171.
溶组织内阿米巴膜蛋白是溶组织内阿米巴病发病机制的重要参与者,但大多数蛋白的作用尚未完全阐明。由于有效的蛋白提取方法对于 MS 分析的成功至关重要,因此评估了三种提取方法用于研究溶组织内阿米巴的膜蛋白质组学:两种商业试剂盒(Calbiochem 的 ProteoExtract 和 Sigma 的 ProteoPrep)和常规实验室方法。结果表明,与 ProteoPrep 相比,ProteoExtract 和常规方法的蛋白产量更高。LC-ESI-MS/MS 分别鉴定出用 ProteoExtract、ProteoPrep 和常规方法提取的膜部分蛋白分别为 456、482 和 551 个。计算机分析预测从 ProteoExtract、ProteoPrep 和常规方法的提取物中分别有 108(21%)、235(45%)和 177(34%)个膜蛋白。此外,对细胞质和膜部分的分析表明,ProteoPrep 提取试剂盒对膜蛋白具有最高的选择性。总体而言,本研究报道了 828 个溶组织内阿米巴膜部分蛋白,其中包括 249 个预测的膜蛋白。该数据可通过 ProteomeXchange 以标识符 PXD010171 获得。