Nucleotide-selective amplification and array-based detection for identifying multiple somatic mutations.

Fecha de publicación: Fecha Ahead of Print:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Lazaro, Ana
  • Martorell, Sara

Grupos

Abstract

In the context of personalized and cost-effective treatment, knowledge of the mutational status of specific genes is advantageous to predict which patients are responsive to therapies. As an alternative to one-by-one detection or massive sequencing, the presented genotyping tool determines multiple polymorphic sequences that vary a single nucleotide. The biosensing method includes an effective enrichment of mutant variants and selective recognition by colorimetric DNA arrays. The proposed approach is the hybridization between sequence-tailored probes and products from PCR with SuperSelective primers to discriminate specific variants in a single locus. A fluorescence scanner, a documental scanner, or a smartphone captured the chip images to obtain spot intensities. Hence, specific recognition patterns identified any single-nucleotide change in the wild-type sequence overcoming qPCR methods and other array-based approaches. Studied mutational analyses applied to human cell lines provided high discrimination factors, the precision was 95%, and the sensitivity was 1% mutant of total DNA. Also, the methods showed a selective genotyping of the KRAS gene from tumorous samples (tissue and liquid biopsy), corroborating results by NGS. The developed technology supported on low-cost robust chips and optical reading provides an attractive pathway toward implementing fast, cheap, reproducible discrimination of oncological patients.

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Datos de la publicación

ISSN/ISSNe:
0003-2670, 1873-4324

ANALYTICA CHIMICA ACTA  ELSEVIER SCIENCE BV

Tipo:
Article
Páginas:
341343-341343
PubMed:
37230582
Factor de Impacto:
1,105 SCImago
Cuartil:
Q1 SCImago

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Keywords

  • Allele-specific techniques; Array sensing; DNA chip technology; Mutations in oncogenes

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