Department of Chemistry, Northwestern University, Evanston, Illinois 60208, USA.
Anal Chem. 2011 Sep 1;83(17):6868-74. doi: 10.1021/ac2010795. Epub 2011 Jul 29.
Top-down proteomics has improved over the past decade despite the significant challenges presented by the analysis of large protein ions. Here, the detection of these high mass species by electrospray-based mass spectrometry (MS) is examined from a theoretical perspective to understand the mass-dependent increases in the number of charge states, isotopic peaks, and interfering species present in typical protein mass spectra. Integrating these effects into a quantitative model captures the reduced ability to detect species over 25 kDa with the speed and sensitivity characteristic of proteomics based on <3 kDa peptide ions. The model quantifies the challenge that top-down proteomics faces with respect to current MS instrumentation and projects that depletion of (13)C and (15)N isotopes can improve detection at high mass by only <2-fold at 100 kDa whereas the effect is up to 5-fold at 10 kDa. Further, we find that supercharging electrosprayed proteins to the point of producing <5 charge states at high mass would improve detection by more than 20-fold.
尽管在分析大蛋白质离子时面临重大挑战,但自上而下的蛋白质组学在过去十年中得到了改善。在这里,从理论角度检查了基于电喷雾的质谱 (MS) 对这些高质量物质的检测,以了解在典型蛋白质质谱中存在的荷质比依赖性增加的电荷态、同位素峰和干扰物质的数量。将这些效应整合到定量模型中,可以捕捉到基于 <3 kDa 肽离子的蛋白质组学的速度和灵敏度特性下,超过 25 kDa 的物质检测能力的降低。该模型量化了自上而下的蛋白质组学在当前 MS 仪器方面面临的挑战,并预测 (13)C 和 (15)N 同位素的耗尽只能将高质量时的检测提高 <2 倍,而在 10 kDa 时的效果高达 5 倍。此外,我们发现,将电喷雾的蛋白质超荷质比到在高质量时产生 <5 个电荷态的程度,可以将检测提高 20 多倍。