Ruhaak L Renee
Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX, 77030, USA.
Department of Chemistry, UC Davis, One Shields Avenue, Davis, CA, 95616, USA.
Methods Mol Biol. 2017;1503:63-82. doi: 10.1007/978-1-4939-6493-2_6.
In recent years, high-throughput glycomics approaches have been developed and applied to either complete biofluids, cell lysates or tissues, or proteins isolated thereof. However, during such analyses the N-glycan are released from the protein backbone and therefore site- and protein-specific information is lost. There exists a need for high-throughput methods that allow quantification of site- and protein-specific glycosylation patterns from complex biological mixtures. We here describe the use of a multiple reaction monitoring mass spectrometry based method for the generation of glycopeptide profiles of the nine high abundance glycoproteins IgG, IgA, IgM, haptoglobin, alpha-1-antitrypsin, alpha-2-macroglobulin, alpha-1-acid glycoprotein, transferrin, and complement C3. We show that the sample preparation can be performed at the 96-well level, and using a 17-min gradient on a RP-UPLC-QQQ instrument, 96 samples can be analyzed within 3 days.
近年来,高通量糖组学方法已得到开发,并应用于完整的生物流体、细胞裂解物或组织,或从中分离出的蛋白质。然而,在这类分析过程中,N-聚糖会从蛋白质主链上释放出来,因此位点和蛋白质特异性信息会丢失。需要高通量方法来定量分析复杂生物混合物中位点和蛋白质特异性糖基化模式。我们在此描述了一种基于多反应监测质谱的方法,用于生成九种高丰度糖蛋白(免疫球蛋白G、免疫球蛋白A、免疫球蛋白M、触珠蛋白、α-1-抗胰蛋白酶、α-2-巨球蛋白、α-1-酸性糖蛋白、转铁蛋白和补体C3)的糖肽谱。我们表明,样品制备可以在96孔板水平上进行,并且在反相超高效液相色谱-三重四极杆质谱仪上使用17分钟的梯度,3天内可以分析96个样品。