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10.3389/fcimb.2021.632646

http://scihub22266oqcxt.onion/10.3389/fcimb.2021.632646
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33796478!8009180!33796478
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suck abstract from ncbi


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pmid33796478      Front+Cell+Infect+Microbiol 2021 ; 11 (ä): 632646
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  • A Saliva-Based RNA Extraction-Free Workflow Integrated With Cas13a for SARS-CoV-2 Detection #MMPMID33796478
  • Azmi I; Faizan MI; Kumar R; Raj Yadav S; Chaudhary N; Kumar Singh D; Butola R; Ganotra A; Datt Joshi G; Deep Jhingan G; Iqbal J; Joshi MC; Ahmad T
  • Front Cell Infect Microbiol 2021[]; 11 (ä): 632646 PMID33796478show ga
  • A major bottleneck in scaling-up COVID-19 testing is the need for sophisticated instruments and well-trained healthcare professionals, which are already overwhelmed due to the pandemic. Moreover, the high-sensitive SARS-CoV-2 diagnostics are contingent on an RNA extraction step, which, in turn, is restricted by constraints in the supply chain. Here, we present CASSPIT (Cas13 Assisted Saliva-based & Smartphone Integrated Testing), which will allow direct use of saliva samples without the need for an extra RNA extraction step for SARS-CoV-2 detection. CASSPIT utilizes CRISPR-Cas13a based SARS-CoV-2 RNA detection, and lateral-flow assay (LFA) readout of the test results. The sample preparation workflow includes an optimized chemical treatment and heat inactivation method, which, when applied to COVID-19 clinical samples, showed a 97% positive agreement with the RNA extraction method. With CASSPIT, LFA based visual limit of detection (LoD) for a given SARS-CoV-2 RNA spiked into the saliva samples was ~200 copies; image analysis-based quantification further improved the analytical sensitivity to ~100 copies. Upon validation of clinical sensitivity on RNA extraction-free saliva samples (n = 76), a 98% agreement between the lateral-flow readout and RT-qPCR data was found (Ct<35). To enable user-friendly test results with provision for data storage and online consultation, we subsequently integrated lateral-flow strips with a smartphone application. We believe CASSPIT will eliminate our reliance on RT-qPCR by providing comparable sensitivity and will be a step toward establishing nucleic acid-based point-of-care (POC) testing for COVID-19.
  • |*CRISPR-Cas Systems[MESH]
  • |COVID-19 Testing/*methods[MESH]
  • |COVID-19/*diagnosis[MESH]
  • |Humans[MESH]
  • |Molecular Diagnostic Techniques/methods[MESH]
  • |Point-of-Care Testing[MESH]
  • |RNA, Viral/*isolation & purification[MESH]
  • |Real-Time Polymerase Chain Reaction[MESH]
  • |SARS-CoV-2/genetics/*isolation & purification[MESH]
  • |Saliva/*chemistry[MESH]
  • |Sensitivity and Specificity[MESH]
  • |Smartphone[MESH]
  • |Specimen Handling/methods[MESH]


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