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首页> 外文期刊>Analytical chemistry >Online Two-Dimensional Porous Graphitic Carbon/Reversed Phase Liquid Chromatography Platform Applied to Shotgun Proteomics and Glycoproteomics
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Online Two-Dimensional Porous Graphitic Carbon/Reversed Phase Liquid Chromatography Platform Applied to Shotgun Proteomics and Glycoproteomics

机译:在线二维多孔石墨/反相液相色谱平台在Shot弹枪蛋白质组学和糖代谢组学中的应用

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A novel fully automatable two-dimensional liquid chromatography (2DLC) platform has been integrated into a modified commercial off-the-shelf LC instrument, incorporating porous graphitic carbon (PGC) separation and conventional low-pH reversed-phase (RP) separation for both proteomics and N-glycomics analyses; the dual-trap column configuration of this platform offers desirable high-throughput analyses with almost no idle time, in addition to a miniaturized setup and simplified operation. The total run time per analysis was only 19 h when using eight PGC fractions for unattended large-scale qualitative and quantitative proteomic analyses; the identification of 2678 nonredundant proteins and 11 984 unique peptides provided one of the most comprehensive proteome data sets for primary cerebellar granule neurons (CGNs). The effect of pH on the PGC column was investigated for the first time to improve the hydrophobic peptide coverage; the performance of the optimized system was first benchmarked using tryptic digests of Saccharomyces cerevisiae cell lysates and then evaluated through duplicate analyses of Macaca fascicularis cerebral cortex lysates using isobaric tags for relative and absolute quantitation (iTRAQ) technology. An additional plug-and-play PGC module functioned in a complementary manner to recover unretained hydrophilic solutes from the low-pH RP column; synchronization of the fractionations between the PGC-RP system and the PGC module facilitated simultaneous analyses of hydrophobic and hydrophilic compounds from a single sample injection event. This methodology was applied to perform, for the first time, detailed glycomics analyses of Macaca fascicularis plasma, resulting in the identification of a total 130 N-glycosylated plasma proteins, 705 N-glycopeptides, and 254 N-glycosylation sites.
机译:一种新型的全自动二维液相色谱(2DLC)平台已集成到一种改进的商用现货LC仪器中,结合了多孔石墨碳(PGC)分离和常规的低pH反相(RP)分离蛋白质组学和N糖组学分析;该平台的双阱色谱柱配置提供了理想的高通量分析,几乎没有空闲时间,此外还实现了小型化设置和简化的操作。当使用8个PGC馏分进行无人值守的大规模定性和定量蛋白质组分析时,每次分析的总运行时间仅为19 h。 2678种非冗余蛋白和11984种独特肽的鉴定为原发性小脑颗粒神经元(CGN)提供了最全面的蛋白质组数据集之一。首次研究了pH对PGC色谱柱的影响,以改善疏水肽的覆盖率。首先,使用酿酒酵母细胞裂解液的胰蛋白酶消化物对最佳系统的性能进行基准测试,然后使用等压标记的相对定量和绝对定量(iTRAQ)技术,通过对猕猴大脑皮层裂解液进行重复分析来评估该系统的性能。另一个即插即用的PGC模块以互补的方式发挥作用,以从低pH RP柱中回收未保留的亲水性溶质。 PGC-RP系统和PGC模块之间的分馏同步可促进一次样品进样事件中疏水性和亲水性化合物的同时分析。该方法首次用于对猕猴血浆进行详细的糖组学分析,从而鉴定出总共130个N-糖基化血浆蛋白,705个N-糖肽和254个N-糖基化位点。

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