Samenvatting
Nucleic acid detection methods based on CRISPR and isothermal amplification techniques show great potential for point-of-care diagnostic applications. However, most current methods rely on fluorescent or lateral flow assay readout, requiring external excitation or postamplification reaction transfer. Here, we developed a bioluminescent nucleic acid sensor (LUNAS) platform in which target dsDNA is sequence-specifically detected by a pair of dCas9-based probes mediating split NanoLuc luciferase complementation. LUNAS is easily integrated with recombinase polymerase amplification (RPA), providing attomolar sensitivity in a rapid one-pot assay. A calibrator luciferase is included for a robust ratiometric readout, enabling real-time monitoring of the RPA reaction using a simple digital camera. We designed an RT-RPA-LUNAS assay that allows SARS-CoV-2 RNA detection without the need for cumbersome RNA isolation and demonstrated its diagnostic performance for COVID-19 patient nasopharyngeal swab samples. Detection of SARS-CoV-2 from samples with viral RNA loads of ∼200 cp/μL was achieved within ∼20 min, showing that RPA-LUNAS is attractive for point-of-care infectious disease testing.
Originele taal-2 | Engels |
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Pagina's (van-tot) | 657-667 |
Aantal pagina's | 11 |
Tijdschrift | ACS Central Science |
Volume | 9 |
Nummer van het tijdschrift | 4 |
DOI's | |
Status | Gepubliceerd - 26 apr. 2023 |
Bibliografische nota
Funding Information:We especially thank the other members of the iGEM 2019 Eindhoven University of Technology team Jo-Anne Ewald, Noëlle Gerards, Anouk Marinus, Roy van Mierlo, Yvonne van Mil, Mandy Shao, and Chris Tomassen for their contribution to the iGEM project that lies at the base of this work. We thank Juliëtte Schaghecke (Fontys University of Applied Sciences, Eindhoven, The Netherlands) for her help in performing RT-ddPCR. We are thankful to the FreeGenes project for providing SARS-CoV-2 positive control plasmids. The following reagents were obtained through BEI Resources, NIAID, NIH: Genomic RNA from HCoV-OC43 (NR-52727), HCoV-229E (NR-52728), and SARS-CoV-2 (NR-52347). This work was supported by funding from the Dutch Research Council | Nationaal Regieorgaan Praktijkgericht Onderzoek SIA (NRPO-SIA) [RAAK.PRO02.066] and the Eindhoven University Fund [COVID-19 Engineering Fund].