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Inexpensive, versatile and open-source methods for SARS-CoV-2 detection
Thomas G.W. Graham; Claire Dugast-Darzacq; Gina M. Dailey; Xammy Huu Nguyenla; Erik Van Dis; Meagan N. Esbin; Abrar Abidi; Sarah A Stanley; Xavier Darzacq; Robert Tjian.
Afiliação
  • Thomas G.W. Graham; University of California, Berkeley
  • Claire Dugast-Darzacq; University of California, Berkeley
  • Gina M. Dailey; University of California Berkeley
  • Xammy Huu Nguyenla; University of California Berkeley
  • Erik Van Dis; University of California Berkeley
  • Meagan N. Esbin; University of California Berkeley
  • Abrar Abidi; University of California Berkeley
  • Sarah A Stanley; University of California Berkeley
  • Xavier Darzacq; UC Berkeley
  • Robert Tjian; University of California Berkeley
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20193466
ABSTRACT
Re-opening of communities in the midst of the ongoing COVID-19 pandemic has ignited a second wave of infections in many places around the world. Mitigating the risk of reopening will require widespread SARS-CoV-2 testing, which would be greatly facilitated by simple, rapid, and inexpensive testing methods. To this end, we evaluated several protocols for RNA extraction and RT-qPCR that are simpler and less expensive than prevailing methods. First, we show that isopropanol precipitation provides an effective means of RNA extraction from nasopharyngeal (NP) swab samples. Second, we evaluate direct addition of NP swab samples to RT-qPCR reactions without an RNA extraction step. We describe a simple, inexpensive swab collection solution suitable for direct addition, which we validate using contrived swab samples. Third, we describe an open-source master mix for RT-qPCR and show that it permits detection of viral RNA in NP swab samples. Lastly, we show that an end-point fluorescence measurement provides an accurate diagnostic readout without requiring a qPCR thermocycler. Adoption of these simple, inexpensive methods has the potential to significantly reduce the time and expense of COVID-19 testing.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Diagnostic_studies / Experimental_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Diagnostic_studies / Experimental_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
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