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dc.contributor.author | Tortajada-Genaro, Luis Antonio | es_ES |
dc.contributor.author | Lazaro, Ana | es_ES |
dc.contributor.author | Martorell-Tejedor, Sara | es_ES |
dc.contributor.author | Maquieira, Angel | es_ES |
dc.date.accessioned | 2024-06-10T18:23:33Z | |
dc.date.available | 2024-06-10T18:23:33Z | |
dc.date.issued | 2023-07-18 | es_ES |
dc.identifier.issn | 0003-2670 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/204929 | |
dc.description.abstract | [EN] 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 over- coming 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. | es_ES |
dc.description.sponsorship | Financial support received from EU FEDER, MINECO Project PID2019-110713RB-I00, and Generalitat Valenciana GVA PROMETEO/2020/094. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Analytica Chimica Acta | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Array sensing | es_ES |
dc.subject | DNA chip technology | es_ES |
dc.subject | Allele-specific techniques | es_ES |
dc.subject | Mutations in oncogenes | es_ES |
dc.subject.classification | QUIMICA ANALITICA | es_ES |
dc.title | Nucleotide-selective amplification and array-based detection for identifying multiple somatic mutations | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.aca.2023.341343 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110713RB-I00/ES/HACIA EL BIOSENSADO HOLOGRAFICO AVANZADO/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2020%2F094//HOLOGRAFÍA. UNA VIA PARA AFRONTAR NUEVOS RETOS EN BIOSENSADO/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural | es_ES |
dc.description.bibliographicCitation | Tortajada-Genaro, LA.; Lazaro, A.; Martorell-Tejedor, S.; Maquieira, A. (2023). Nucleotide-selective amplification and array-based detection for identifying multiple somatic mutations. Analytica Chimica Acta. 1265. https://doi.org/10.1016/j.aca.2023.341343 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.aca.2023.341343 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 1265 | es_ES |
dc.identifier.pmid | 37230582 | es_ES |
dc.relation.pasarela | S\495642 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |
dc.subject.ods | 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades | es_ES |