Jump to main content
Jump to site search
PLANNED MAINTENANCE Close the message box

Scheduled maintenance work on Tuesday 19th September 2017 from 8.00am to 4.00pm (BST).

During this time our website performance may be temporarily affected. If you have any questions please use the feedback button available under our menu button. We apologise for any inconvenience this might cause and thank you for your patience.


Issue 14, 2016
Previous Article Next Article

Analysis of alcohol-induced DNA damage in Escherichia coli by visualizing single genomic DNA molecules

Author affiliations

Abstract

Consumption of alcohol injures DNA, and such damage is considered to be a primary cause for the development of cancer and many other diseases essentially due to reactive oxygen species generated from alcohol. To sensitively detect alcohol-induced DNA lesions in a biological system, we introduced a novel analytical platform for visualization of single genomic DNA molecules using E. coli. By fluorescently labelling the DNA lesions, our approach demonstrated, with the highest sensitivity, that we could count the number of DNA lesions induced by alcohol metabolism in a single bacterial cell. Moreover, our results showed a linear relationship between ethanol concentration and the number of DNA lesions: 0.88 lesions per 1% ethanol. Using this approach, we quantitatively analysed the DNA damage induced by exposure to alcoholic beverages such as beer (5% ethanol), rice wine (13%), soju (20%), and whisky (40%).

Graphical abstract: Analysis of alcohol-induced DNA damage in Escherichia coli by visualizing single genomic DNA molecules

Back to tab navigation

Supplementary files

Publication details

The article was received on 15 Mar 2016, accepted on 29 Apr 2016 and first published on 04 May 2016


Article type: Paper
DOI: 10.1039/C6AN00616G
Citation: Analyst, 2016,141, 4326-4331
  •   Request permissions

    Analysis of alcohol-induced DNA damage in Escherichia coli by visualizing single genomic DNA molecules

    Y. Kang, J. Lee, J. Kim, Y. Oh, D. Kim, J. Lee, S. Lim and K. Jo, Analyst, 2016, 141, 4326
    DOI: 10.1039/C6AN00616G

Search articles by author

Spotlight

Advertisements