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

No Thumbnail Available
File version
Author(s)
Haque, Md Hakimul
Gopalan, Vinod
Islam, Md Nazmul
Masud, Mostafa Kamal
Bhattacharjee, Ripon
Al Hossain, Md Shahriar
Nam-Trung, Nguyen
Lam, Alfred K
Shiddiky, Muhammad JA
Primary Supervisor
Other Supervisors
Editor(s)
Date
2017
Size
File type(s)
Location
License
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.

Journal Title

Analytica Chimica Acta

Conference Title
Book Title
Edition
Volume

976

Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Analytical chemistry

Electrochemistry

Other chemical sciences

Chemical engineering

Nanotechnology

Persistent link to this record
Citation
Collections