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Issue 7, 2021
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A site-specific DNA methylation biosensor for both visual and magnetic determination based on lateral flow assay

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Abstract

Tumorigenesis driven by abnormal DNA methylation has highlighted the need to develop a portable, rapid and sensitive strategy for accurate methylation detection with a specific cancer-prognostic gene, which caters to the popularization of precision medicine. In this study, a site-specific biosensor for both visual and magnetic DNA methylation determination has been established based on lateral flow assay. By introducing digoxin- and biotin-labeled primers into PCR, the amplicons can be recognized and captured by gold magnetic nanoparticles (GMNPs) in this biosensor. Working as a signal probe, the optical property of GMNPs allows the amplicons to be interpreted with naked eyes avoiding any complex equipment and cumbersome operation after PCR. Moreover, by virtue of the magnetic property of GMNP, the signal can be explained and recorded by a magnetometer in clinical practice. The introduction of tailor-made primer sets makes it possible to accurately distinguish 0.1% methylated variants in the presence of numerous unmethylated variants as strong interferential background and vice versa at target cytosine–guanine dinucleotide. A distinct signal can be observed with as low as 0.01 pg variants for both visual and magnetic analyses. As a significant tumor suppressor gene, the promoter methylation status of miR-34a is accurately determined with not only cell lines but also with clinical samples, which demonstrates the great potential of this biosensor for cancer diagnosis and prognosis.

Graphical abstract: A site-specific DNA methylation biosensor for both visual and magnetic determination based on lateral flow assay

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Supplementary files

Article information


Submitted
25 Nov 2020
Accepted
01 Feb 2021
First published
18 Feb 2021

Analyst, 2021,146, 2248-2254
Article type
Paper

A site-specific DNA methylation biosensor for both visual and magnetic determination based on lateral flow assay

J. Zhang, X. Liu, S. Zhang, Y. Cai, K. Ma, K. Hua and Y. Cui, Analyst, 2021, 146, 2248
DOI: 10.1039/D0AN02277B

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