Dataset on optimization and development of a point-of-care glucometer-based SARS-CoV-2 detection assay using aptamers

Autor: Naveen K. Singh, Partha Ray, Aaron F. Carlin, Sydney C. Morgan, Celestine Magallanes, Louise C. Laurent, Eliah S. Aronoff-Spencer, Drew A. Hall
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Data in Brief, Vol 38, Iss , Pp 107278- (2021)
Druh dokumentu: article
ISSN: 2352-3409
DOI: 10.1016/j.dib.2021.107278
Popis: We present supplementary data for the published article, “Hitting the diagnostic sweet spot: Point-of-care SARS-CoV-2 salivary antigen testing with an off-the-shelf glucometer” [1]. The assay described is designed to be performed at home or in a clinic without expensive instrumentation or professional training. SARS-CoV-2 is detected by an aptamer-based assay that targets the Nucleocapsid (N) or Spike (S) antigens. Binding of the N or S protein to their respective aptamer results in the competitive release of a complementary antisense-invertase enzyme complex. The released enzyme then catalyzes the conversion of sucrose to glucose that is measured by an off-the-shelf glucometer. The data presented here describe the optimization of the assay parameters and their contribution to developing this aptamer-based assay to detect SARS-CoV-2. The assay performance was checked in a standard buffer, contrived samples, and patient samples validated with well-established scientific methods. The resulting dataset can be used to further develop glucometer-based assays for diagnosing other communicable and non-communicable diseases.
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