Abstract

The detection of changes in nucleic acid sequences at specific sites remains a critical challenge in epigenetics, diagnostics and therapeutics. To date, such assays often require extensive time, expertise and infrastructure for their implementation, limiting their application in clinical settings. Here we demonstrate a generalizable method, named Specific Terminal Mediated Polymerase Chain Reaction (STEM-PCR) for the detection of DNA modifications at specific sites, in a similar way as DNA sequencing techniques, but using simple and widely accessible PCR-based workflows. We apply the technique to both for site-specific methylation and co-methylation analysis, importantly using a bisulfite-free process - so providing an ease of sample processing coupled with a sensitivity 20-fold better than current gold-standard techniques. To demonstrate the clinical applicability through the detection of single base mutations with high sensitivity and no-cross reaction with the wild-type background, we show the bisulfite-free detection of SEPTIN9 and SFRP2 gene methylation in patients (as key biomarkers in the prognosis and diagnosis of tumours).

Rapid and facile detection of specific nucleic acid modifications could have numerous applications. Here the authors present Specific Terminal Mediated Polymerase Chain Reaction (STEM-PCR) as a generic and accessible approach, and demonstrate proof-of-principle cancer biomarker detection.

Details

Title
Sequence terminus dependent PCR for site-specific mutation and modification detection
Author
Xu, Gaolian 1 ; Yang, Hao 1 ; Qiu, Jiani 1 ; Reboud, Julien 2   VIAFID ORCID Logo  ; Zhen, Linqing 1 ; Ren, Wei 1 ; Xu, Hong 1 ; Cooper, Jonathan M. 2   VIAFID ORCID Logo  ; Gu, Hongchen 1 

 Shanghai Jiao Tong University, School of Biomedical Engineering/Med-X Research Institute, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293) 
 University of Glasgow, Division of Biomedical Engineering, Glasgow, United Kingdom (GRID:grid.8756.c) (ISNI:0000 0001 2193 314X) 
Pages
1169
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2781036806
Copyright
© The Author(s) 2023. corrected publication 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.