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  • Detection of regional DNA methylation using DNA-graphene affinity interactions

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    Accepted Manuscript (AM)
    Author(s)
    Haque, Md Hakimul
    Gopalan, Vinod
    Yadav, Sharda
    Islam, Md Nazmul
    Eftekhari, Ehsan
    Li, Qin
    Carrascosa, Laura G
    Nam-Trung, Nguyen
    Lam, Alfred K
    Shiddiky, Muhammad JA
    Griffith University Author(s)
    Lam, Alfred K.
    Gopalan, Vinod
    Li, Qin
    Nguyen, Nam-Trung
    Shiddiky, Muhammad J.
    Yadav, Sharda
    Year published
    2017
    Metadata
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    Abstract
    We report a new method for the detection of regional DNA methylation using base-dependent affinity interaction (i.e., adsorption) of DNA with graphene. Due to the strongest adsorption affinity of guanine bases towards graphene, bisulfite-treated guanine-enriched methylated DNA leads to a larger amount of the adsorbed DNA on the graphene-modified electrodes in comparison to the adenine-enriched unmethylated DNA. The level of the methylation is quantified by monitoring the differential pulse voltammetric current as a function of the adsorbed DNA. The assay is sensitive to distinguish methylated and unmethylated DNA sequences ...
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    We report a new method for the detection of regional DNA methylation using base-dependent affinity interaction (i.e., adsorption) of DNA with graphene. Due to the strongest adsorption affinity of guanine bases towards graphene, bisulfite-treated guanine-enriched methylated DNA leads to a larger amount of the adsorbed DNA on the graphene-modified electrodes in comparison to the adenine-enriched unmethylated DNA. The level of the methylation is quantified by monitoring the differential pulse voltammetric current as a function of the adsorbed DNA. The assay is sensitive to distinguish methylated and unmethylated DNA sequences at single CpG resolution by differentiating changes in DNA methylation as low as 5%. Furthermore, this method has been used to detect methylation levels in a collection of DNA samples taken from oesophageal cancer tissues.
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    Journal Title
    Biosensors and Bioelectronics
    Volume
    87
    DOI
    https://doi.org/10.1016/j.bios.2016.09.016
    Copyright Statement
    © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Subject
    Analytical chemistry
    Analytical chemistry not elsewhere classified
    Biomedical engineering
    Nanotechnology
    Publication URI
    http://hdl.handle.net/10072/339268
    Collection
    • Journal articles

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