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Characterizing SARS-CoV-2 transcription of subgenomic and genomic RNAs during early human infection using multiplexed ddPCR
Hyon S. Hwang; Che-Min Lo; Michael Murphy; Tanner Grudda; Nicholas Gallagher; Chun Huai Luo; Matthew L. Robinson; Agha Mirza; Madison Conte; Abigail Conte; Ruifeng Zhou; Christopher B. Brooke; Andrew Pekosz; Heba H. Mostafa; Yukari C. Manabe; Chloe L. Thio; Ashwin Balagopal.
Affiliation
  • Hyon S. Hwang; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Che-Min Lo; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Michael Murphy; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Tanner Grudda; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Nicholas Gallagher; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Chun Huai Luo; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Matthew L. Robinson; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Agha Mirza; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Madison Conte; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Abigail Conte; W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
  • Ruifeng Zhou; W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
  • Christopher B. Brooke; Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
  • Andrew Pekosz; W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
  • Heba H. Mostafa; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Yukari C. Manabe; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; W. Harry Feinstone Department of Molecular Microbiology and Immun
  • Chloe L. Thio; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
  • Ashwin Balagopal; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
Preprint in English | medRxiv | ID: ppmedrxiv-22271199
ABSTRACT
Control of SARS-CoV-2 (SCV-2) transmission is a major priority that requires understanding SCV-2 replication dynamics. We developed and validated novel droplet digital PCR (ddPCR) assays to quantify SCV-2 subgenomic RNAs (sgRNAs), which are only produced during active viral replication, and discriminate them from full-length genomic RNAs (gRNAs) in a multiplexed format. We applied this multiplex ddPCR assay to 144 cross-sectional nasopharyngeal samples. sgRNAs were quantifiable across a range of qPCR cycle threshold (Ct) values and correlated with Ct values. The ratio of sgRNAgRNA was remarkably stable across a wide range of Ct values, whereas adjusted amounts of N sgRNA to a human housekeeping gene declined with higher Ct values. Interestingly, adjusted sgRNA and gRNA amounts were quantifiable in culture-negative samples, although levels were significantly lower than in culture-positive samples. Longitudinal daily testing of 6 persons for up to 14 days revealed that sgRNA is concordant with culture results during the first week of infection but may be discordant with culture later in infection. Further, sgRNAgRNA is constant during infection despite changes in viral culture. These data indicate stable viral transcription during infection. More work is needed to understand why cultures are negative despite persistence of viral RNAs.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study / Rct Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study / Rct Language: English Year: 2022 Document type: Preprint
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