TY - JOUR
T1 - Integrating MS1 and MS2 Scans in High-Resolution Parallel Reaction Monitoring Assays for Targeted Metabolite Quantification and Dynamic 13C-Labeling Metabolism Analysis
AU - Li, Zhucui
AU - Li, Yujing
AU - Chen, Wujiu
AU - Cao, Qichen
AU - Guo, Yufeng
AU - Wan, Ni
AU - Jiang, Xiaolong
AU - Tang, Yinjie J.
AU - Wang, Qinhong
AU - Shui, Wenqing
N1 - Funding Information:
This work was supported by grants from the Bairenjihua Program of the Chinese Academy of Sciences (W.S.) and the National Natural Science Foundation of China (No. 31401150), the Key Projects in Tianjin Science and Technology Pillar Program (No. 14ZCZDSY00062). N.W. was supported by the U.S. NSF Grant (CBET 1438125).
Publisher Copyright:
© 2016 American Chemical Society.
PY - 2017/1/3
Y1 - 2017/1/3
N2 - Quantification of targeted metabolites, especially trace metabolites and structural isomers, in complex biological materials is an ongoing challenge for metabolomics. Initially developed for proteomic analysis, the parallel reaction monitoring (PRM) technique exploiting high-resolution MS2 fragment ion data has shown high promise for targeted metabolite quantification. Notably, MS1 ion intensity data acquired independently as part of each PRM scan cycle are often underutilized in the PRM assay. In this study, we developed an MS1/MS2-combined PRM workflow for quantification of central carbon metabolism intermediates, amino acids and shikimate pathway-related metabolites on an orthogonal QqTOF system. Concentration curve assessment revealed that exploiting both MS1 and MS2 scans in PRM analysis afforded higher sensitivity, wider dynamic range and better reproducibility than relying on either scan mode for quantification. Furthermore, Skyline was incorporated into our workflow to process the MS1/MS2 ion intensity data, and eliminate noisy signals and transitions with interferences. This integrated MS1/MS2 PRM approach was applied to targeted metabolite quantification in engineered E. coli strains for understanding of metabolic pathway modulation. In addition, this new approach, when first implemented in a dynamic 13C-labeling experiment, showed its unique advantage in capturing and correcting isotopomer labeling curves to facilitate nonstationary 13C-labeling metabolism analysis.
AB - Quantification of targeted metabolites, especially trace metabolites and structural isomers, in complex biological materials is an ongoing challenge for metabolomics. Initially developed for proteomic analysis, the parallel reaction monitoring (PRM) technique exploiting high-resolution MS2 fragment ion data has shown high promise for targeted metabolite quantification. Notably, MS1 ion intensity data acquired independently as part of each PRM scan cycle are often underutilized in the PRM assay. In this study, we developed an MS1/MS2-combined PRM workflow for quantification of central carbon metabolism intermediates, amino acids and shikimate pathway-related metabolites on an orthogonal QqTOF system. Concentration curve assessment revealed that exploiting both MS1 and MS2 scans in PRM analysis afforded higher sensitivity, wider dynamic range and better reproducibility than relying on either scan mode for quantification. Furthermore, Skyline was incorporated into our workflow to process the MS1/MS2 ion intensity data, and eliminate noisy signals and transitions with interferences. This integrated MS1/MS2 PRM approach was applied to targeted metabolite quantification in engineered E. coli strains for understanding of metabolic pathway modulation. In addition, this new approach, when first implemented in a dynamic 13C-labeling experiment, showed its unique advantage in capturing and correcting isotopomer labeling curves to facilitate nonstationary 13C-labeling metabolism analysis.
UR - http://www.scopus.com/inward/record.url?scp=85021696377&partnerID=8YFLogxK
U2 - 10.1021/acs.analchem.6b03947
DO - 10.1021/acs.analchem.6b03947
M3 - Article
C2 - 27966897
AN - SCOPUS:85021696377
SN - 0003-2700
VL - 89
SP - 877
EP - 885
JO - Analytical Chemistry
JF - Analytical Chemistry
IS - 1
ER -