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Article

Optimization of Apta-Sensing Platform for Detection of Prostate Cancer Marker PCA3

1
Materials and Engineering Research Institute, Sheffield Hallam University, Sheffield S1 1WB, UK
2
Department of Chemistry, The University of Sheffield, Sheffield S3 7HF, UK
3
Biomolecular Research Centre, Sheffield Hallam University, Sheffield S1 1WB, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Kyeongsoon Park
Int. J. Mol. Sci. 2021, 22(23), 12701; https://doi.org/10.3390/ijms222312701
Received: 1 November 2021 / Revised: 17 November 2021 / Accepted: 21 November 2021 / Published: 24 November 2021
(This article belongs to the Special Issue Molecular Advances in Prostate Cancer)
This work is a continuation of our research into the development of simple, reliable, and cost-effective methods for the early diagnosis of prostate cancer (PCa). The proposed method is based on the electrochemical detection of the PCA3 biomarker of PCa (long non-coded RNA transcript expressed in urine) using a specific aptamer labeled with a redox group (methylene blue). The electrochemical measurements (cyclic voltammograms) obtained from electrodes functionalized with the aptamer were complemented in this work by another biosensing technique: total internal reflection ellipsometry (TIRE). In addition to proving the concept of the detection of PCA3 in low concentrations down to 90 pM, this study improved our understanding of the processes by which PCA3 binds to its specific aptamer. The high specificity of the binding of PCA3 to the aptamer was assessed by studying the binding kinetics, which yielded an affinity constant (KD) of 2.58 × 10−9 M. Additional XPS measurements confirmed the strong covalent binding of aptamers to gold and showed spectral features associated with PCA3 to aptamer binding. View Full-Text
Keywords: prostate cancer; PCA3; aptamers; cyclic voltammograms; spectroscopic ellipsometry; XPS prostate cancer; PCA3; aptamers; cyclic voltammograms; spectroscopic ellipsometry; XPS
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MDPI and ACS Style

Takita, S.; Nabok, A.; Lishchuk, A.; Smith, D. Optimization of Apta-Sensing Platform for Detection of Prostate Cancer Marker PCA3. Int. J. Mol. Sci. 2021, 22, 12701. https://doi.org/10.3390/ijms222312701

AMA Style

Takita S, Nabok A, Lishchuk A, Smith D. Optimization of Apta-Sensing Platform for Detection of Prostate Cancer Marker PCA3. International Journal of Molecular Sciences. 2021; 22(23):12701. https://doi.org/10.3390/ijms222312701

Chicago/Turabian Style

Takita, Sarra, Alexei Nabok, Anna Lishchuk, and David Smith. 2021. "Optimization of Apta-Sensing Platform for Detection of Prostate Cancer Marker PCA3" International Journal of Molecular Sciences 22, no. 23: 12701. https://doi.org/10.3390/ijms222312701

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