Dumbbell-type triplex molecular switch-based logic molecular assays of SARS-CoV-2
Accurate detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is of great importance to control the COVID-19 pandemic. The gold standard assays for COVID-19 diagnostics are mainly based on separately detecting open reading frame 1ab (ORF1ab) and nucleoprotein (N) genes by RT-PCR...
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Veröffentlicht in: | Sensors and actuators. B, Chemical Chemical, 2022-11, Vol.371, p.132579-132579, Article 132579 |
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Sprache: | eng |
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Zusammenfassung: | Accurate detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is of great importance to control the COVID-19 pandemic. The gold standard assays for COVID-19 diagnostics are mainly based on separately detecting open reading frame 1ab (ORF1ab) and nucleoprotein (N) genes by RT-PCR. However, the current approaches often obtain false positive-misdiagnose caused by cross-contamination or undesired amplification. To address this issue, herein, we proposed a dumbbell-type triplex molecular switch (DTMS)-based, logic-gated strategy for high-fidelity SARS-CoV-2 RNA detection. The DTMS consists of a triple-helical stem region and two-loop regions for recognizing the ORF1ab and N genes of SARS-CoV-2. Only when the ORF1ab and N gene are concurrent, DTMS experiences a structural rearrangement, thus, bringing the two pyrenes into spacer proximity and leading to a new signal readout. This strategy allows detecting SARS-CoV-2 RNA with a detection limit of 1.3 nM, independent of nucleic acid amplification, holding great potential as an indicator probe for screening of COVID-19 and other population-wide epidemics.
•A dumbbell-type triplex molecular switch was developed to high-fidelity SARS-CoV-2 RNA detection.•The AND logic-gated strategy allows detect ORF1ab and N genes of SARS-CoV-2 RNA simultaneously.•This strategy exhibits lower background signal and false-positive rate than traditional detection strategies. |
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ISSN: | 0925-4005 1873-3077 0925-4005 |
DOI: | 10.1016/j.snb.2022.132579 |