Liquid chromatography/mass spectrometry methods for measuring dipeptide abundance in non-small-cell lung cancer.

Liquid chromatography/mass spectrometry methods for measuring dipeptide abundance in non-small-cell lung cancer.
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DOI:
10.1002/rcm.6656
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发表时间:
2013-09-30
影响因子:
2
通讯作者:
Hoang, Chuong D.
Hoang, Chuong D.
中科院分区:
化学3区
文献类型:
--
作者:
Wu, Manhong;Xu, Yue;Fitch, William L.;Zheng, Ming;Merritt, Robert E.;Shrager, Joseph B.;Zhang, Weiruo;Dill, David L.;Peltz, Gary;Hoang, Chuong D.

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Metabolomic profiling is a promising methodology of identifying candidate biomarkers for disease detection and monitoring. Although lung cancer is among the leading causes of cancer-related mortality worldwide, the lung tumor metabolome has not been fully characterized. We utilized a targeted metabolomic approach to analyze discrete groups of related metabolites. We adopted a dansyl [5-(dimethylamino)-1-napthalene sulfonamide] derivatization with liquid chromatography/ mass spectrometry (LC/MS) to analyze changes of metabolites from paired tumor and normal lung tissues. Identification of dansylated dipeptides was confirmed with synthetic standards. A systematic analysis of retention times (RT) was required to reliably identify isobaric dipeptides. We validated our findings in a separate sample cohort. We produced a database of the LC retention time and MS/MS spectra of 361 dansyl dipeptides. Interpretation of the spectra is presented. Using this standard data, we identified a total of 279 dipeptides in lung tumor tissue. The abundance of 90 dipeptides was selectively increased in lung tumor tissue compared to normal tissue. In a second set of validation tissues, 12 dipeptides were selectively increased. A systematic evaluation of certain metabolite classes in lung tumors may identify promising disease-specific metabolites. Our database of all possible dipeptides will facilitate ongoing translational applications of metabolomic profiling as it relates to lung cancer.
HMDB:人类代谢组数据库。
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