蛋白质组
化学
质谱法
串联质谱法
色谱法
蛋白质组学
定量蛋白质组学
无标记量化
串联质量标签
仪表(计算机编程)
等压标记
计算生物学
分析化学(期刊)
蛋白质质谱法
生物化学
计算机科学
操作系统
基因
生物
作者
Mark V. Ivanov,Julia A. Bubis,Vladimir Gorshkov,Irina A. Tarasova,Lev I. Levitsky,Elizaveta M. Solovyeva,Anastasiya V. Lipatova,Frank Kjeldsen,Mikhail V. Gorshkov
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2022-09-12
卷期号:94 (38): 13068-13075
被引量:16
标识
DOI:10.1021/acs.analchem.2c02255
摘要
Recently, we presented the DirectMS1 method of ultrafast proteome-wide analysis based on minute-long LC gradients and MS1-only mass spectra acquisition. Currently, the method provides the depth of human cell proteome coverage of 2500 proteins at a 1% false discovery rate (FDR) when using 5 min LC gradients and 7.3 min runtime in total. While the standard MS/MS approaches provide 4000–5000 protein identifications within a couple of hours of instrumentation time, we advocate here that the higher number of identified proteins does not always translate into better quantitation quality of the proteome analysis. To further elaborate on this issue, we performed a one-on-one comparison of quantitation results obtained using DirectMS1 with three popular MS/MS-based quantitation methods: label-free (LFQ) and tandem mass tag quantitation (TMT), both based on data-dependent acquisition (DDA) and data-independent acquisition (DIA). For comparison, we performed a series of proteome-wide analyses of well-characterized (ground truth) and biologically relevant samples, including a mix of UPS1 proteins spiked at different concentrations into an Echerichia coli digest used as a background and a set of glioblastoma cell lines. MS1-only data was analyzed using a novel quantitation workflow called DirectMS1Quant developed in this work. The results obtained in this study demonstrated comparable quantitation efficiency of 5 min DirectMS1 with both TMT and DIA methods, yet the latter two utilized a 10–20-fold longer instrumentation time.
科研通智能强力驱动
Strongly Powered by AbleSci AI