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10.1038/s42003-021-02748-0

http://scihub22266oqcxt.onion/10.1038/s42003-021-02748-0
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suck abstract from ncbi


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pmid34686777      Commun+Biol 2021 ; 4 (1): 1215
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  • Accurate detection and quantification of SARS-CoV-2 genomic and subgenomic mRNAs by ddPCR and meta-transcriptomics analysis #MMPMID34686777
  • Oranger A; Manzari C; Chiara M; Notario E; Fosso B; Parisi A; Bianco A; Iacobellis M; d'Avenia M; D'Erchia AM; Pesole G
  • Commun Biol 2021[Oct]; 4 (1): 1215 PMID34686777show ga
  • SARS-CoV-2 replication requires the synthesis of a set of structural proteins expressed through discontinuous transcription of ten subgenomic mRNAs (sgmRNAs). Here, we have fine-tuned droplet digital PCR (ddPCR) assays to accurately detect and quantify SARS-CoV-2 genomic ORF1ab and sgmRNAs for the nucleocapsid (N) and spike (S) proteins. We analyzed 166 RNA samples from anonymized SARS-CoV-2 positive subjects and we observed a recurrent and characteristic pattern of sgmRNAs expression in relation to the total viral RNA content. Additionally, expression profiles of sgmRNAs, as determined by meta-transcriptomics sequencing of a subset of 110 RNA samples, were highly correlated with those obtained by ddPCR. By providing a comprehensive and dynamic snapshot of the levels of SARS-CoV-2 sgmRNAs in infected individuals, our results may contribute a better understanding of the dynamics of transcription and expression of the genome of SARS-CoV-2 and facilitate the development of more accurate molecular diagnostic tools for the stratification of COVID-19 patients.
  • |*Coronavirus Nucleocapsid Proteins[MESH]
  • |*SARS-CoV-2[MESH]
  • |*Spike Glycoprotein, Coronavirus[MESH]
  • |*Transcriptome[MESH]
  • |COVID-19 Nucleic Acid Testing/*methods[MESH]
  • |COVID-19/*genetics/*metabolism[MESH]
  • |Computational Biology[MESH]
  • |Humans[MESH]
  • |Limit of Detection[MESH]
  • |Open Reading Frames[MESH]
  • |Phosphoproteins[MESH]
  • |Polymerase Chain Reaction/*methods[MESH]
  • |RNA, Messenger/metabolism[MESH]
  • |RNA, Viral/*metabolism[MESH]
  • |Real-Time Polymerase Chain Reaction[MESH]


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