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  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
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  • Assistant Professor
  • Associate Professor
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  • Clinical Research Nurse
  • Clinician Researcher
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  • Dual-education Student
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  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
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Published in RNA - 22 Dec 2021

Andrea Di Gioacchino, Rachel Legendre, Yannis Rahou, Valérie Najburg, Pierre Charneau, Benjamin Greenbaum, Frédéric Tangy, Sylvie van Der Werf, Simona Cocco, Anastassia Komarova

Link to Pubmed [PMID] – 34937774

Link to HAL – pasteur-03591131

Link to DOI – 10.1261/rna.078969.121

RNA, 2021, 28 (3), pp.277-289. ⟨10.1261/rna.078969.121⟩

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.