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COVID-19 Variant Detection with a High-Fidelity CRISPR-Cas12 Enzyme
Clare L Fasching; Venice Servellita; Bridget McKay; Vaishnavi Nagesh; James P Broughton; Noah Brazer; Baolin Wang; Alicia Sotomayor-Gonzalez; Kevin Reyes; Jessica Streithorst; Rachel N Deraney; Emma Stanfield; Carley G Hendriks; Steve Miller; Jesus Ching; Janice S Chen; Charles Y Chiu.
Afiliação
  • Clare L Fasching; Mammoth Biosciences
  • Venice Servellita; University of California San Francisco
  • Bridget McKay; Mammoth Biosciences
  • Vaishnavi Nagesh; Mammoth Biosciences
  • James P Broughton; Mammoth Biosciences
  • Noah Brazer; University of California San Francisco
  • Baolin Wang; University of California San Francisco
  • Alicia Sotomayor-Gonzalez; University of California San Francisco
  • Kevin Reyes; University of California San Francisco
  • Jessica Streithorst; University of California San Francisco
  • Rachel N Deraney; Mammoth Biosciences
  • Emma Stanfield; Mammoth Biosciences
  • Carley G Hendriks; Mammoth Biosciences
  • Steve Miller; University of California San Francisco
  • Jesus Ching; Mammoth Biosciences
  • Janice S Chen; Mammoth Biosciences
  • Charles Y Chiu; University of California San Francisco
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21267041
ABSTRACT
Laboratory tests for the accurate and rapid identification of SARS-CoV-2 variants can potentially guide the treatment of COVID-19 patients and inform infection control and public health surveillance efforts. Here we present the development and validation of a rapid COVID-19 variant DETECTR(R) assay incorporating loop-mediated isothermal amplification (LAMP) followed by CRISPR-Cas12 based identification of single nucleotide polymorphism (SNP) mutations in the SARS-CoV-2 spike (S) gene. This assay targets the L452R, E484K/Q/A, and N501Y mutations that are associated with nearly all circulating viral lineages and identifies the two circulating variants of concern, Delta and Omicron. In a comparison of three different Cas12 enzymes, only the newly identified enzyme CasDx1 was able to accurately identify all targeted SNP mutations. An analysis pipeline for CRISPR-based SNP identification from 139 clinical samples yielded an overall SNP concordance of 98% and agreement with SARS-CoV-2 lineage classification of 138/139 compared to viral whole-genome sequencing. We also showed that detection of the single E484A mutation was necessary and sufficient to accurately identify Omicron from other major circulating variants in patient samples. These findings demonstrate the utility of CRISPR-based DETECTR(R) as a faster and simpler diagnostic than sequencing for SARS-CoV-2 variant identification in clinical and public health laboratories.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint