Dataset on optimization and development of a point-of-care glucometer-based SARS-CoV2 detection assay by using aptamers

Published: 22 July 2021| Version 5 | DOI: 10.17632/9scn37td2p.5
Contributor:
Naveen Singh

Description

The paper presents the Supplementary Data of the published research work entitled “Hitting the diagnostic sweet spot: Point-of-care SARS-CoV-2 salivary antigen testing with an off-the-shelf glucometer” (Singh et al., 2021, Biosensor and Bioelectronics) . The assay is designed to be performed at home or a healthcare center without the requirements of expensive instruments or operational training. The virus is detected by an aptamer-based assay that specifically targets SARS CoV-2 Nucleocapsid (N) or Spike (S) proteins. The binding of N or S proteins by their respective aptamers results in the competitive release of a complementary antisense-invertase enzyme complex from the aptamers. The released enzyme then catalyzes the conversion of sucrose to glucose that is measured by a glucometer. The data presented here describe the optimization of the assay parameters and their contribution in the development of the aptamer-based assay for the detection of SARS CoV-2. The assay performance was checked in standard buffer, contrived, and real patient samples, and validated with well-established scientific methods. The resulting dataset can be used to further develop the glucometer-based point-of-care system for diagnosing other communicable and non-communicable diseases

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Steps to reproduce

Aptamer-based displacement optimization and assay data were collected with a household glucometer. The collected data were plotted with Origin version 9 software. The Electrophoretic mobility shift assay (EMSA) was performed and analyzed with Biorad analysis and imaging system.

Institutions

University of California San Diego

Categories

Detection with Biosensors, Point of Care Testing, COVID-19

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