Dr Amy Morgan A.E.Morgan2@salford.ac.uk
Lecturer in Biomedical Science
Electrochemically detecting DNA methylation in the EN1 gene promoter: Implications for understanding ageing and disease
Morgan, Amy E.; Acutt, Katie D.; Mc Auley, Mark T.
Authors
Katie D. Acutt
Dr Mark McAuley M.McAuley@salford.ac.uk
Lecturer
Contributors
A.E. Morgan
Other
K.D. Acutt
Other
M.T. McAuley
Other
Abstract
There is a growing need for biomarkers which predict age-onset pathology. Although this is challenging, the methylome offers significant potential. Cancer is associated with the hypermethylation of many gene promoters, among which are developmental genes. Evolutionary theory suggests developmental genes arbitrate early-late life trade-offs, causing epimutations that increase disease vulnerability. Such genes could predict age-related disease. The aim of this work was to optimise an electrochemical procedure for the future investigation of a broad range of ageing-related pathologies. An electrochemical approach, which adopted three analytical techniques, was used to investigate DNA methylation in the engrailed-1 (EN1) gene promoter. Using synthetic single-stranded DNA, one technique was able to detect DNA at concentrations as low as 10 nM, with methylation status distinguishable at concentrations >25 nM. A negative correlation could be observed between % methylation of a heterogeneous solution and the key electrochemical parameter, charge transfer resistance (Rct; r = −0.982, P<0.01). The technique was applied to the breast cancer cell line Michigan Cancer Foundation-7 (MCF-7), where a similar correlation was observed (r = −0.965, P<0.01). These results suggest electrochemistry can effectively measure DNA methylation at low concentrations of DNA. This has implications for the future detection of age-related disease.
Citation
Morgan, A. E., Acutt, K. D., & Mc Auley, M. (2020). Electrochemically detecting DNA methylation in the EN1 gene promoter: Implications for understanding ageing and disease. Bioscience Reports, 40(11), https://doi.org/10.1042/BSR20202571
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 28, 2020 |
Online Publication Date | Nov 17, 2020 |
Publication Date | 2020 |
Deposit Date | Aug 22, 2024 |
Publicly Available Date | Sep 19, 2024 |
Journal | Bioscience Reports |
Print ISSN | 0144-8463 |
Electronic ISSN | 1573-4935 |
Publisher | Portland Press |
Peer Reviewed | Peer Reviewed |
Volume | 40 |
Issue | 11 |
DOI | https://doi.org/10.1042/BSR20202571 |
Files
Published Version
(1.1 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
Computationally Modelling Cholesterol Metabolism and Atherosclerosis
(2023)
Journal Article
Vascular dementia: From pathobiology to emerging perspectives
(2024)
Journal Article
Systems-Based Mechanisms of Aging
(2019)
Book Chapter
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search