Author: Rinchai, Darawan; Kabeer, Basirudeen; Toufiq, Mohammed; Calderone, Zohreh; Deola, Sara; Brummaier, Tobias; Garand, Mathieu; Branco, Ricardo; Baldwin, Nicole; Alfaki, Mohamed; Altman, Matthew; Ballestrero, Alberto; Bassetti, Matteo; Zoppoli, Gabriele; De Maria, Andrea; Tang, Benjamin; Bedognetti, Davide; Chaussabel, Damien
Title: A modular framework for the development of targeted Covid-19 blood transcript profiling panels Cord-id: 558yn6pu Document date: 2020_5_22
ID: 558yn6pu
Snippet: 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 focused blood transcriptome panels for profiling the immune response to SARS-CoV-2 infection. 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 w
Document: 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 focused blood transcriptome panels for profiling the immune response to SARS-CoV-2 infection. 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. As a proof of principle, we designed three targeted blood transcript panels, each with a different translational connotation: therapeutic development relevance, SARS biology relevance and immunological relevance. 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.
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