Aburaya Shunsuke, Aoki Wataru, Minakuchi Hiroyoshi, Ueda Mitsuyoshi
a Division of Applied Life Sciences, Graduate School of Agriculture , Kyoto University , Kyoto , Japan.
b Japan Society for the Promotion of Science , Kyoto , Japan.
Biosci Biotechnol Biochem. 2017 Dec;81(12):2237-2243. doi: 10.1080/09168451.2017.1391685. Epub 2017 Oct 25.
In proteomics, more than 100,000 peptides are generated from the digestion of human cell lysates. Proteome samples have a broad dynamic range in protein abundance; therefore, it is critical to optimize various parameters of LC-ESI-MS/MS to comprehensively identify these peptides. However, there are many parameters for LC-ESI-MS/MS analysis. In this study, we applied definitive screening design to simultaneously optimize 14 parameters in the operation of monolithic capillary LC-ESI-MS/MS to increase the number of identified proteins and/or the average peak area of MS1. The simultaneous optimization enabled the determination of two-factor interactions between LC and MS. Finally, we found two parameter sets of monolithic capillary LC-ESI-MS/MS that increased the number of identified proteins by 8.1% or the average peak area of MS1 by 67%. The definitive screening design would be highly useful for high-throughput analysis of the best parameter set in LC-ESI-MS/MS systems.
在蛋白质组学中,人类细胞裂解物消化后会产生超过100,000种肽段。蛋白质组样品在蛋白质丰度上具有广泛的动态范围;因此,优化液相色谱-电喷雾串联质谱(LC-ESI-MS/MS)的各种参数以全面鉴定这些肽段至关重要。然而,LC-ESI-MS/MS分析有许多参数。在本研究中,我们应用析因筛选设计来同时优化整体毛细管LC-ESI-MS/MS操作中的14个参数,以增加鉴定出的蛋白质数量和/或MS1的平均峰面积。同时优化能够确定液相色谱和质谱之间的双因素相互作用。最后,我们发现了两组整体毛细管LC-ESI-MS/MS参数集,它们使鉴定出的蛋白质数量增加了8.1%,或使MS1的平均峰面积增加了67%。析因筛选设计对于高通量分析LC-ESI-MS/MS系统中的最佳参数集将非常有用。