Literature DB >> 15502206

32P-postlabeling analysis of DNA adducts.

David H Phillips1, Alan Hewer, Volker M Arlt.   

Abstract

32P-Postlabeling analysis is an ultrasensitive method for the detection of DNA adducts, such as those formed directly by the covalent binding of carcinogens and mutagens to bases in DNA, as well as other DNA lesions resulting from modification of bases by endogenous or exogenous agents (e.g., oxidative damage). The procedure involves four main steps: enzymatic digestion of a DNA sample; enrichment of the adducts; radiolabeling of the adducts by T4 kinase-catalyzed transference of 32P-orthophosphate from [gamma-32P]ATP; and chromatographic separation of labeled adducts and detection and quantification by means of their radioactive decay. Using 10 microg or less of DNA, this technique is capable of detecting adduct levels as low as one adduct in 10(9)-10(10) normal nucleotides. It is applicable to a wide range of investigations, including monitoring human exposure to environmental or occupational carcinogens, determining whether a chemical has genotoxic properties, analysis of the genotoxicity of complex mixtures, elucidation of the activation pathways of carcinogens, and monitoring of DNA repair.

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Year:  2005        PMID: 15502206     DOI: 10.1385/1-59259-840-4:003

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Formation of Covalent DNA Adducts by Enzymatically Activated Carcinogens and Drugs In Vitro and Their Determination by 32P-postlabeling.

Authors:  Marie Stiborova
Journal:  J Vis Exp       Date:  2018-03-20       Impact factor: 1.355

2.  Biomonitoring of complex occupational exposures to carcinogens: the case of sewage workers in Paris.

Authors:  Hamzeh Al Zabadi; Luc Ferrari; Anne-Marie Laurent; Aziz Tiberguent; Christophe Paris; Denis Zmirou-Navier
Journal:  BMC Cancer       Date:  2008-03-06       Impact factor: 4.430

Review 3.  Polycyclic aromatic hydrocarbons and PAH-related DNA adducts.

Authors:  Błaszczyk Ewa; Mielżyńska-Švach Danuta
Journal:  J Appl Genet       Date:  2016-12-12       Impact factor: 3.240

  3 in total

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