Sequence terminus dependent PCR for site-specific mutation and modification detection

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. H...

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Veröffentlicht in:Nature communications 2023-03, Vol.14 (1), p.1169-1169, Article 1169
Hauptverfasser: Xu, Gaolian, Yang, Hao, Qiu, Jiani, Reboud, Julien, Zhen, Linqing, Ren, Wei, Xu, Hong, Cooper, Jonathan M., Gu, Hongchen
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Sprache:eng
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Zusammenfassung: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.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-023-36884-4