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Quantification of gene-specific DNA methylation in oesophageal cancer via electrochemistry

  • Md Hakimul Haque
  • , Vinod Gopalan
  • , Md Nazmul Islam
  • , Mostafa Kamal Masud
  • , Ripon Bhattacharjee
  • , Md Shahriar Al Hossain
  • , Nam Trung Nguyen
  • , Alfred K. Lam
  • , Muhammad J.A. Shiddiky
  • Griffith University
  • University of Wollongong

Research output: Contribution to journalArticlepeer-review

Abstract

Development of simple and inexpensive method for the analysis of gene-specific DNA methylation is important for the diagnosis and prognosis of patients with cancer. Herein, we report a relatively simple and inexpensive electrochemical method for the sensitive and selective detection of gene-specific DNA methylation in oesophageal cancer. The underlying principle of the method relies on the affinity interaction between DNA bases and unmodified gold electrode. Since the affinity trend of DNA bases towards the gold surface follows as adenine (A) > cytosine (C) > guanine (G)> thymine (T), a relatively larger amount of bisulfite-treated adenine-enriched unmethylated DNA adsorbs on the screen-printed gold electrodes (SPE-Au) in comparison to the guanine-enriched methylated sample. The methylation levels were (i.e., different level of surface attached DNA molecules due to the base dependent differential adsorption pattern) quantified by measuring saturated amount of charge-compensating [Ru(NH3)6]3+ molecules in the surface-attached DNAs by chronocoulometry as redox charge of the [Ru(NH3)6]3+ molecules quantitatively reflects the amount of the adsorbed DNA confined at the electrode surface. The assay could successfully distinguish methylated and unmethylated DNA sequences at single CpG resolution and as low as 10% differences in DNA methylation. In addition, the assay showed fairly good reproducibility (% RSD= <5%) with better sensitivity and specificity by analysing various levels of methylation in two cell lines and eight fresh tissues samples from patients with oesophageal squamous cell carcinoma. Finally, the method was validated with methylation specific-high resolution melting curve analysis and Sanger sequencing methods.
Original languageEnglish
Pages (from-to)84-93
Number of pages10
JournalAnalytica Chimica Acta
Volume976
Early online date26 Apr 2017
DOIs
Publication statusPublished - 11 Jul 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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