Diagnostic detection of viruses is a cornerstone method for the management of emerging epidemics and pandemics. However, current limitations in commercially available and gold standard diagnostic detection platforms like cost, time to signal readout, and sensitivity, expose gaps in viral surveillance. To address these limitations, we have developed a novel Point-of-Care aligned method for the rapid isothermal amplification of viral RNA targets using RT-LAMP, and amplicon sequence verification using an aptamer-based colorimetric signal readout. With this method established, we then developed multiplexing detection platforms that target globally impactful mosquito-borne viral diseases and pathogens, including Dengue virus and Malaria, as well as the viruses that they are often misdiagnosed with, like Zika and Chikungunya viruses. With these platforms, we demonstrate both a quantitative and qualitative distinguishment of up to four mosquito borne pathogenic RNA targets at once in a single multiplexed detection platform.
Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/46248 |
Date | 24 May 2023 |
Creators | Eshed, Amit |
Contributors | Green, Alexander A., Khalil, Ahmad S. |
Source Sets | Boston University |
Language | en_US |
Detected Language | English |
Type | Thesis/Dissertation |
Rights | Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/ |
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