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SARS-CoV-2 viral variants can rapidly be identified for clinical decision making and population surveillance using a high-throughput digital droplet PCR assay.
Pernet, Olivier; Weisenhaus, Maia; Stafylis, Chrysovalantis; Williams, Christopher; Campan, Mihaela; Pettersson, Jonas; Green, Nicole; Lee, David M; Thomas, Paul D; Ward, Pamela; Hu, Howard; Klausner, Jeffrey D; Kovacs, Andrea A Z.
Afiliação
  • Pernet O; Department of Pediatrics, Maternal, Child and Adolescent Center for Infectious Diseases and Virology, University of Southern California, Los Angeles, CA, USA. pernet@usc.edu.
  • Weisenhaus M; Department of Pediatrics, Maternal, Child and Adolescent Center for Infectious Diseases and Virology, University of Southern California, Los Angeles, CA, USA.
  • Stafylis C; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
  • Williams C; Department of Preventive Medicine, Division of Bioinformatics, University of Southern California, Los Angeles, CA, USA.
  • Campan M; Department of Pathology & Laboratory Medicine in Keck, University of Southern California, Los Angeles, CA, USA.
  • Pettersson J; Department of Pathology & Laboratory Medicine in Keck, University of Southern California, Los Angeles, CA, USA.
  • Green N; Los Angeles County Department of Public Health, Los Angeles, CA, USA.
  • Lee DM; Department of Pediatrics, Maternal, Child and Adolescent Center for Infectious Diseases and Virology, University of Southern California, Los Angeles, CA, USA.
  • Thomas PD; Department of Preventive Medicine, Division of Bioinformatics, University of Southern California, Los Angeles, CA, USA.
  • Ward P; Department of Pathology & Laboratory Medicine in Keck, University of Southern California, Los Angeles, CA, USA.
  • Hu H; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
  • Klausner JD; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
  • Kovacs AAZ; Department of Pediatrics, Maternal, Child and Adolescent Center for Infectious Diseases and Virology, University of Southern California, Los Angeles, CA, USA.
Sci Rep ; 13(1): 7612, 2023 05 10.
Article em En | MEDLINE | ID: mdl-37165019
Epidemiologic surveillance of circulating SARS-CoV-2 variants is essential to assess impact on clinical outcomes and vaccine efficacy. Whole genome sequencing (WGS), the gold-standard to identify variants, requires significant infrastructure and expertise. We developed a digital droplet polymerase chain reaction (ddPCR) assay that can rapidly identify circulating variants of concern/interest (VOC/VOI) using variant-specific mutation combinations in the Spike gene. To validate the assay, 800 saliva samples known to be SARS-CoV-2 positive by RT-PCR were used. During the study (July 2020-March 2022) the assay was easily adaptable to identify not only existing circulating VAC/VOI, but all new variants as they evolved. The assay can discriminate nine variants (Alpha, Beta, Gamma, Delta, Eta, Epsilon, Lambda, Mu, and Omicron) and sub-lineages (Delta 417N, Omicron BA.1, BA.2). Sequence analyses confirmed variant type for 124/124 samples tested. This ddPCR assay is an inexpensive, sensitive, high-throughput assay that can easily be adapted as new variants are identified.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article