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Mass spectrometric mapping of the DNA adductome as a means to study genotoxin exposure, metabolism, and effect

(2016) ANALYTICAL CHEMISTRY. 88(15). p.7436-7446
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Abstract
Covalent binding of endo- or exogenous chemicals to DNA results in the formation of DNA adducts which are reflective of exposure of the human body to DNA damaging molecules and their metabolic pathways. The study of DNA adduct types and levels in human tissue therefore offers an interesting tool in several fields of research, including toxicology and cancer epidemiology. Over the years, a range of techniques and methods have been developed to study the formation of endo- and exogenous DNA adducts. However, for the simultaneous detection, identification and quantification of both known and unknown DNA adducts, mass spectrometry (MS) is deemed to be the most promising technique. In this perspective, we focus on the analysis of multiple DNA adducts within a sample with the emphasis on untargeted analysis. The advantageous use of MS methodologies for DNA adductome mapping is discussed comprehensively with relevant field examples. In addition, several aspects of study design, sample pretreatment, and analysis are addressed as these factors significantly affect the reliability of DNA adductomics studies.
Keywords
LUNG-CANCER PATIENTS, LIQUID-CHROMATOGRAPHY, CHEMICAL CARCINOGENESIS, MOLECULAR EPIDEMIOLOGY, ENVIRONMENTAL EXPOSURE, NEUTRAL LOSS, DAMAGE, TISSUES, QUANTIFICATION, CELLS

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Chicago
Hemeryck, Lieselot, Sharon A Moore, and Lynn Vanhaecke. 2016. “Mass Spectrometric Mapping of the DNA Adductome as a Means to Study Genotoxin Exposure, Metabolism, and Effect.” Analytical Chemistry 88 (15): 7436–7446.
APA
Hemeryck, L., Moore, S. A., & Vanhaecke, L. (2016). Mass spectrometric mapping of the DNA adductome as a means to study genotoxin exposure, metabolism, and effect. ANALYTICAL CHEMISTRY, 88(15), 7436–7446.
Vancouver
1.
Hemeryck L, Moore SA, Vanhaecke L. Mass spectrometric mapping of the DNA adductome as a means to study genotoxin exposure, metabolism, and effect. ANALYTICAL CHEMISTRY. 2016;88(15):7436–46.
MLA
Hemeryck, Lieselot, Sharon A Moore, and Lynn Vanhaecke. “Mass Spectrometric Mapping of the DNA Adductome as a Means to Study Genotoxin Exposure, Metabolism, and Effect.” ANALYTICAL CHEMISTRY 88.15 (2016): 7436–7446. Print.
@article{8500954,
  abstract     = {Covalent binding of endo- or exogenous chemicals to DNA results in the formation of DNA adducts which are reflective of exposure of the human body to DNA damaging molecules and their metabolic pathways. The study of DNA adduct types and levels in human tissue therefore offers an interesting tool in several fields of research, including toxicology and cancer epidemiology. Over the years, a range of techniques and methods have been developed to study the formation of endo- and exogenous DNA adducts. However, for the simultaneous detection, identification and quantification of both known and unknown DNA adducts, mass spectrometry (MS) is deemed to be the most promising technique. In this perspective, we focus on the analysis of multiple DNA adducts within a sample with the emphasis on untargeted analysis. The advantageous use of MS methodologies for DNA adductome mapping is discussed comprehensively with relevant field examples. In addition, several aspects of study design, sample pretreatment, and analysis are addressed as these factors significantly affect the reliability of DNA adductomics studies.},
  author       = {Hemeryck, Lieselot and Moore, Sharon A and Vanhaecke, Lynn},
  issn         = {0003-2700},
  journal      = {ANALYTICAL CHEMISTRY},
  keywords     = {LUNG-CANCER PATIENTS,LIQUID-CHROMATOGRAPHY,CHEMICAL CARCINOGENESIS,MOLECULAR EPIDEMIOLOGY,ENVIRONMENTAL EXPOSURE,NEUTRAL LOSS,DAMAGE,TISSUES,QUANTIFICATION,CELLS},
  language     = {eng},
  number       = {15},
  pages        = {7436--7446},
  title        = {Mass spectrometric mapping of the DNA adductome as a means to study genotoxin exposure, metabolism, and effect},
  url          = {http://dx.doi.org/10.1021/acs.analchem.6b00863},
  volume       = {88},
  year         = {2016},
}

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