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Development of the Adductome Approach to Detect DNA Damage in Humans

Authors: Robert A, Kanaly; Tomoyuki, Hanaoka; Haruhiko, Sugimura; Hirokazu, Toda; Saburo, Matsui; Tomonari, Matsuda;

Development of the Adductome Approach to Detect DNA Damage in Humans

Abstract

The development of new strategies designed to detect DNA damage caused by oxidative stress and other means may advance our understanding of the roles of such types of damage in the etiology of cancers, in aging processes, and as biomarkers of exposure. A DNA adduct detection method that uses liquid chromatography coupled with electrospray ionization tandem mass spectrometry (LC/ESI-MS/MS) to detect multiple DNA adducts in human lung tissue is reported herein. This adductome analysis strategy is designed to detect the neutral loss of 2 -deoxyribose from positively ionized 2 -deoxynucleoside adducts in multiple reaction ion monitoring mode (MRM) transmitting the [M + H](+) > [M + H - 116](+) transition over a total of 374 transitions in the mass range from m/z 228.8 to m/z 602.8. Data analysis is optimized and coupled with a comprehensive manual screening process designed to minimize the number of artifactual adducts appearing in the final analysis. In the final analysis, putative adducts were organized into an adductome map and unambiguous confirmation of selected oxidative adducts were made by stable isotope dilution and comparison to authentic standards. The future applications of this method are discussed.

Keywords

Male, Spectrometry, Mass, Electrospray Ionization, Molecular Structure, Middle Aged, DNA Adducts, Oxidative Stress, Humans, Lung, Aged, Chromatography, Liquid, DNA Damage

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
96
Top 10%
Top 10%
Top 10%
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