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An exclusion list based label-free proteome quantification approach using an LTQ Orbitrap
被引:26
作者:
Muntel, Jan
[1
]
Hecker, Michael
[1
]
Becher, Doerte
[1
]
机构:
[1] Ernst Moritz Arndt Univ Greifswald, Inst Microbiol, D-17489 Greifswald, Germany
关键词:
MASS-SPECTROMETRY;
STAPHYLOCOCCUS-AUREUS;
NITRIC-OXIDE;
LIQUID-CHROMATOGRAPHY;
BACILLUS-SUBTILIS;
QUANTITATIVE-ANALYSIS;
MEMBRANE PROTEOME;
INNATE IMMUNITY;
HUMAN PATHOGEN;
AFFINITY TAGS;
D O I:
10.1002/rcm.6147
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
RATIONALE: Label-based mass spectrometry is a powerful tool for large-scale protein identification and quantification. However, it requires the chemical or metabolic incorporation of the labeled compound(s) which can be difficult to attain, e. g. for non-cultivable organisms or scarce sample, such as biopsies. Therefore, we set out to develop and validate an efficient label-free liquid chromatography/tandem mass spectrometry (LC/MS/MS) workflow based on optimized instrument settings and incremental exclusion lists. METHODS: To increase the number of quantified peptides an incremental exclusion list was incorporated along with optimized instrument settings for the used LTQ Orbitrap. As a proof of concept, label-free quantification data from this optimized approach were compared to the results of control measurements without exclusion lists and of an in vivo metabolic labeling GeLC/MS/MS experiment. The data were drawn from Staphylococcus aureus whole cell lysates of nonstressed and nitric oxide (NO)-stressed cells. RESULTS: Compared to MS analysis without exclusion lists the newapproach resulted in an increased number of identified peptides, enabling label-free quantification of more than 990 S. aureus proteins. With respect to the number of quantified proteins and differences in protein levels between the control and NO-treated samples the results of the new method were consistent with those of the GeLC/MS/MS experiment. CONCLUSIONS: The application of exclusion lists and optimized instrument settings in LC/MS/MS analysis significantly enhances the sensitivity and resolution of label-free protein identification and quantification. Therefore, the new workflow is a powerful alternative to label-based quantification methods. Copyright (C) 2012 John Wiley & Sons, Ltd.
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页码:701 / 709
页数:9
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