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Digital Quantification of Human Viral RNA and DNA Using a Self-Digitization Chip

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Biomedical Engineering Technologies

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2393))

Abstract

Digital nucleic acid quantitation methods show excellent sensitivity and specificity for pathogen detection. Droplet digital PCR (ddPCR) is the most advanced digital nucleic acid quantitation method and has been commercialized, but is not suitable for many point-of-care applications due to its complex instrumentation. Here we describe a simple microfluidics-based self-digitization (SD) chip for quantifying nucleic acids at the point of care with minimal instrumentation. We demonstrate the clinical diagnostic capability of this platform by applying it to quantifying human viral DNA and RNA. SD chips with a range of well numbers and volumes are tested, and isothermal methods are used to amplify the DNA and RNA to a detectable level. Sample concentration is determined based on the measured volume in the wells and the number of wells with fluorescence greater than a threshold based on a Poisson distribution. Concentration measurements over the low concentration range of 0–100 molecules/μL showed a strong correlation (R2 = 0.99) with measurements using a real-time PCR assay, demonstrating the sensitivity and specificity of the SD chip platform.

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Acknowledgments

This research is supported by National Institutes of Health (R01EB021150, UG3CA211139) and the Bill & Melinda Gates Foundation. We gratefully acknowledge the Royal Society of Chemistry for the permission of use of the Figs. 1, 2, 3, 4, 6, 7, 8, 9, 10.

Conflicts of interest: The authors declare the following competing financial interests: DTC and JEK have financial interest in Lamprogen Inc., which has licensed the SD chip technology from the University of Washington.

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Correspondence to Daniel T. Chiu .

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Wang, J., Kreutz, J.E., Chiu, D.T. (2022). Digital Quantification of Human Viral RNA and DNA Using a Self-Digitization Chip. In: Ossandon, M.R., Baker, H., Rasooly, A. (eds) Biomedical Engineering Technologies. Methods in Molecular Biology, vol 2393. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1803-5_15

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  • DOI: https://doi.org/10.1007/978-1-0716-1803-5_15

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1802-8

  • Online ISBN: 978-1-0716-1803-5

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