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Author Daems, E.; Bassini, S.; Mariën, L.; Op de Beeck, H.; Stratulat, A.; Zwaenepoel, K.; Vandamme, T.; op de Beeck, K.; Koljenovic, S.; Peeters, M.; Van Camp, G.; De Wael, K.
Title Singlet oxygen-based photoelectrochemical detection of single-point mutations in the KRAS oncogene Type University Hospital Antwerp
Year (down) 2023 Publication Biosensors and bioelectronics Abbreviated Journal
Volume 249 Issue Pages 115957-7
Keywords University Hospital Antwerp; A1 Journal article; Center for Oncological Research (CORE); Antwerp Electrochemical and Analytical Sciences Lab (A-Sense Lab); Medical Genetics (MEDGEN)
Abstract Single nucleotide point mutations in the KRAS oncogene occur frequently in human cancers, rendering them intriguing targets for diagnosis, early detection and personalized treatment. Current detection methods are based on polymerase chain reaction, sometimes combined with next-generation sequencing, which can be expensive, complex and have limited availability. Here, we propose a novel singlet oxygen (1O2)-based photoelectrochemical detection methodology for single-point mutations, using KRAS mutations as a case study. This detection method combines the use of a sandwich assay, magnetic beads and robust chemical photosensitizers, that need only air and light to produce 1O2, to ensure high specificity and sensitivity. We demonstrate that hybridization of the sandwich hybrid at high temperatures enables discrimination between mutated and wild-type sequences with a detection rate of up to 93.9%. Additionally, the presence of background DNA sequences derived from human cell-line DNA, not containing the mutation of interest, did not result in a signal, highlighting the specificity of the methodology. A limit of detection as low as 112 pM (1.25 ng/mL) was achieved without employing any amplification techniques. The developed 1O2-based photoelectrochemical methodology exhibits unique features, including rapidity, ease of use, and affordability, highlighting its immense potential in the field of nucleic acid-based diagnostics.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Wos Publication Date 2023-12-23
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0956-5663 ISBN Additional Links UA library record
Impact Factor Times cited Open Access
Notes Approved no
Call Number UA @ admin @ c:irua:201875 Serial 9092
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