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Abstract

Digital Microfluidics for Amplification Monitoring of Cancer Biomarkers †

1
CENIMAT|i3N, Department of Materials Science, School of Science and Technology, Campus de Caparica, NOVA University of Lisbon and CEMOP/UNINOVA, 2829-516 Caparica, Portugal
2
UCIBIO, I4HB, Life Sciences Department, School of Science and Technology, Campus de Caparica, NOVA University of Lisbon, 2829-516 Caparica, Portugal
3
AlmaScience, Campus da Caparica, 2829-519 Caparica, Portugal
*
Authors to whom correspondence should be addressed.
Presented at the Materiais 2022, Marinha Grande, Portugal, 10–13 April 2022.
Mater. Proc. 2022, 8(1), 103; https://doi.org/10.3390/materproc2022008103
Published: 22 June 2022
(This article belongs to the Proceedings of MATERIAIS 2022)
Digital microfluidics (DMF) is an exciting technology for liquid handling, enabling low-volume droplet motion in electrode arrays, commonly mediated by voltage signals. Such technology allows for interesting applications in the field of molecular diagnostics, namely isothermal nucleic acid amplification for the detection of cancer biomarkers in low-volume samples. We developed a digital microfluidics platform capable of performing loop-mediated isothermal amplification (LAMP) of DNA while fitting under a fluorescence microscope, thus enabling a distinction between amplifying and non-amplifying samples, as well as monitoring the reaction progression. Our DNA amplification target is the cancer biomarker c-Myc, known as a “master regulator” due to its involvement in cell growth, proliferation and metabolism, which cumulatively intervenes in tumorigenesis. Specifically, the overexpression of c-Myc has been associated with as much as 40% of all human tumors. We successfully detected the amplification of the target DNA in under one hour with only 2 µL of total reaction volume. We also show the influence of mixing strategies when mixing LAMP reagents and DNA samples in our DMF platform, achieving uniform reagent distribution within reaction droplets, thus minimizing fluorescence signal fluctuations and maximizing reaction efficiency. Deep knowledge of mixing parameters on DMF is of utter relevance to the most recent enterprise in the group, which exploits DMF as a reagent mixing platform, a precursor to digital droplet PCR (ddPCR).

Author Contributions

B.J.C.: conceptualization, methodology, software, formal analysis, investigation, writing—original draft, writing—review & editing, visualization. B.V.: conceptualization, methodology. L.B.: software. H.Á.: funding acquisition, writing—review & editing. E.F.: funding acquisition, resources. R.M.: supervision, funding acquisition, resources. P.V.B.: conceptualization, supervision, project administration, funding acquisition, resources. R.I.: conceptualization, supervision, project administration, resources. All authors have read and agreed to the published version of the manuscript.

Funding

This work was financed by national funds from FCT—Fundação para a Ciência e a Tecnologia, I.P., in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of the Research Unit on Applied Molecular Biosciences-UCIBIO and the project LA/P/0140/2020 of the Associate Laboratory Institute for Health and Bioeconomy-i4HB. Additional funding was received from FCT under the scope of the project reference LA/P/0037/2020, UIDP/50025/2020 and UIDB/50025/2020 of the Associate Laboratory Institute of Nanostructures, Nanomodelling and Nanofabrication–i3N and under the frame of the project dPCR4FreeDNA–PTDC/BTM-SAL/31201/2017. Beatriz J. Coelho is grateful to FCT for the attribution of grant SFRH/BD/132904/2017 and grant COVID/BD/152453/2022.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data gathered in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Coelho, B.J.; Veigas, B.; Bettencourt, L.; Águas, H.; Fortunato, E.; Martins, R.; Baptista, P.V.; Igreja, R. Digital Microfluidics for Amplification Monitoring of Cancer Biomarkers. Mater. Proc. 2022, 8, 103. https://doi.org/10.3390/materproc2022008103

AMA Style

Coelho BJ, Veigas B, Bettencourt L, Águas H, Fortunato E, Martins R, Baptista PV, Igreja R. Digital Microfluidics for Amplification Monitoring of Cancer Biomarkers. Materials Proceedings. 2022; 8(1):103. https://doi.org/10.3390/materproc2022008103

Chicago/Turabian Style

Coelho, Beatriz J., Bruno Veigas, Luís Bettencourt, Hugo Águas, Elvira Fortunato, Rodrigo Martins, Pedro V. Baptista, and Rui Igreja. 2022. "Digital Microfluidics for Amplification Monitoring of Cancer Biomarkers" Materials Proceedings 8, no. 1: 103. https://doi.org/10.3390/materproc2022008103

APA Style

Coelho, B. J., Veigas, B., Bettencourt, L., Águas, H., Fortunato, E., Martins, R., Baptista, P. V., & Igreja, R. (2022). Digital Microfluidics for Amplification Monitoring of Cancer Biomarkers. Materials Proceedings, 8(1), 103. https://doi.org/10.3390/materproc2022008103

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