A modular framework for the development of targeted Covid-19 blood transcript profiling panels

Darawan Rinchai, Basirudeen Syed Ahamed Kabeer, Mohammed Toufiq, Zohreh Tatari-Calderone, Sara Deola, Tobias Brummaier, Mathieu Garand, Ricardo Branco, Nicole Baldwin, Mohamed Alfaki, Matthew C. Altman, Alberto Ballestrero, Matteo Bassetti, Gabriele Zoppoli, Andrea De Maria, Benjamin Tang, Davide Bedognetti, Damien Chaussabel

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


Background: Covid-19 morbidity and mortality are associated with a dysregulated immune response. Tools are needed to enhance existing immune profiling capabilities in affected patients. Here we aimed to develop an approach to support the design of targeted blood transcriptome panels for profiling the immune response to SARS-CoV-2 infection. Methods: We designed a pool of candidates based on a pre-existing and well-characterized repertoire of blood transcriptional modules. Available Covid-19 blood transcriptome data was also used to guide this process. Further selection steps relied on expert curation. Additionally, we developed several custom web applications to support the evaluation of candidates. Results: As a proof of principle, we designed three targeted blood transcript panels, each with a different translational connotation: immunological relevance, therapeutic development relevance and SARS biology relevance. Conclusion: Altogether the work presented here may contribute to the future expansion of immune profiling capabilities via targeted profiling of blood transcript abundance in Covid-19 patients.

Original languageEnglish
Article number291
JournalJournal of Translational Medicine
Issue number1
StatePublished - Jul 31 2020


  • Blood transcriptomics
  • Covid-19
  • Immune monitoring
  • SARS-CoV-2


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