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Detection of single nucleotide variants in nucleic acid biomarkers using Raman spectroscopy

  • Roman Holomb
  • , Huy van Nguyen
  • , Francia Allabush
  • , Alex S. Quy
  • , Attila Sik
  • , Ferenc Müller
  • , László Himics
  • , Tamás Váczi
  • , James H. R. Tucker
  • , Miklós Veres*
  • , John S. Fossey
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Single nucleotide variants (SNVs), including single-nucleotide polymorphisms, are key biomarkers for numerous human diseases, including cancer, and their accurate detection at single loci remains a major diagnostic challenge. Imaging-based approaches for in situ nucleic acid analysis further require highly specific, non-fluorescent readout strategies. Here, we report a Raman spectroscopy-based method for single-nucleobase discrimination using alkyne-tagged oligonucleotides. Ab initio calculations predict, and Raman measurements confirm, that the alkyne stretching vibrations of 5-ethynyluracil is highly sensitive to hydrogen-bonding interactions with its complementary nucleobase. Incorporation of this moiety as 5-ethynyl-2'-deoxyuridine into oligonucleotide probes enables detection of specific nucleobases within target DNA strands by high-resolution Raman spectroscopy. Distinct Raman shifts allow discrimination of single nucleotide variants, including the clinically relevant BRAF V600E mutation. These results demonstrate that alkyne-tagged base discriminating probes provide a robust Raman readout for SNV detection at single nucleotide resolution, establishing a foundation for future nucleic acid diagnostics and imaging applications.

Original languageEnglish
Article number118574
Number of pages9
JournalBiosensors and Bioelectronics
Volume304
Early online date7 Mar 2026
DOIs
Publication statusE-pub ahead of print - 7 Mar 2026

Bibliographical note

Copyright © 2026 The Authors. Published by Elsevier B.V.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • DNA
  • Hybridisation
  • Single nucleotide variants
  • Raman spectroscopy
  • Alkyne labelling

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