Nanoporous Anodic Alumina-Based Sensor for miR-99a-5p Detection as an Effective Early Breast Cancer Diagnostic Tool.
Autores de INCLIVA
Participantes ajenos a INCLIVA
- Pla, Luis
- Santiago-Felipe, Sara
- Simon, Soraya
- Martinez-Manez, Ramon
Grupos y Plataformas de I+D+i
Abstract
Circulating microRNAs have emerged as potential diagnostic biomarkers. The deregulation of the microRNA miR-99a-5p has been previously described as an effective biomarker of early breast cancer. Herein, we present a new nanoporous anodic alumina (NAA)-based biosensor that can detect plasma miR-99a-5p with high sensitivity and selectivity. NAA pores are loaded with rhodamine B and capped with a specific oligonucleotide that is able to block cargo release until the target is present. In the presence of miR-99a-5p, the capping oligonucleotide recognizes the miR-99a-5p sequence and displaces it allowing the release of the encapsulated dye. This method is able to successfully distinguish healthy controls from breast cancer patients, even at early stages with high efficiency, showing the presented system as a promising tool for breast cancer detection.
Datos de la publicación
- ISSN/ISSNe:
- 2379-3694, 2379-3694
- Tipo:
- Article
- Páginas:
- 1022-1029
- PubMed:
- 33599490
ACS Sensors American Chemical Society
Citas Recibidas en Web of Science: 14
Documentos
- No hay documentos
Filiaciones
Keywords
- biosensor; breast cancer; diagnosis; nanoporous anodic alumina; plasma
Financiación
Proyectos y Estudios Clínicos
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Investigador Principal: JUAN MIGUEL CEJALVO ANDUJAR
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Cita
Garrido I,Pla L,Santiago S,Simon S,Ortega B,Bermejo B,Lluch A,Cejalvo JM,Eroles P,Martinez R. Nanoporous Anodic Alumina-Based Sensor for miR-99a-5p Detection as an Effective Early Breast Cancer Diagnostic Tool. ACS Sens. 2021. 6. (3):p. 1022-1029. IF:9,618. (1).
Nanoporous Anodic Alumina-Based Sensor for miR-99a-5p Detection as an Effective Early Breast Cancer Diagnostic Tool. Garrido I, Pla L, Santiago S, Simon S, Ortega B, Bermejo B, Lluch A et al. ACS Sensors. 2021 marzo 26. 6 (3):1022-1029. DOI:10.1021/acssensors.0c02222. PMID:33599490.