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sgDI-tector: defective interfering viral genome bioinformatics for detection of coronavirus subgenomic RNAs.

Andrea Di GioacchinoRachel LegendreYannis RahouValérie NajburgPierre CharneauBenjamin D GreenbaumFrédéric TangySylvie van der WerfSimona CoccoAnastassia V Komarova
Published in: RNA (New York, N.Y.) (2021)
Coronavirus RNA-dependent RNA polymerases produce subgenomic RNAs (sgRNAs) that encode viral structural and accessory proteins. User-friendly bioinformatic tools to detect and quantify sgRNA production are urgently needed to study the growing number of next-generation sequencing (NGS) data of SARS-CoV-2. We introduced sgDI-tector to identify and quantify sgRNA in SARS-CoV-2 NGS data. sgDI-tector allowed detection of sgRNA without initial knowledge of the transcription-regulatory sequences. We produced NGS data and successfully detected the nested set of sgRNAs with the ranking M > ORF3a > N>ORF6 > ORF7a > ORF8 > S > E>ORF7b. We also compared the level of sgRNA production with other types of viral RNA products such as defective interfering viral genomes.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • electronic health record
  • big data
  • transcription factor
  • healthcare
  • nucleic acid
  • loop mediated isothermal amplification
  • copy number
  • circulating tumor cells