TY - JOUR
T1 - A modular framework for the development of targeted Covid-19 blood transcript profiling panels
AU - Rinchai, Darawan
AU - Syed Ahamed Kabeer, Basirudeen
AU - Toufiq, Mohammed
AU - Tatari-Calderone, Zohreh
AU - Deola, Sara
AU - Brummaier, Tobias
AU - Garand, Mathieu
AU - Branco, Ricardo
AU - Baldwin, Nicole
AU - Alfaki, Mohamed
AU - Altman, Matthew C.
AU - Ballestrero, Alberto
AU - Bassetti, Matteo
AU - Zoppoli, Gabriele
AU - De Maria, Andrea
AU - Tang, Benjamin
AU - Bedognetti, Davide
AU - Chaussabel, Damien
N1 - Publisher Copyright:
© 2020 The Author(s).
PY - 2020/7/31
Y1 - 2020/7/31
N2 - 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.
AB - 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.
KW - Blood transcriptomics
KW - Covid-19
KW - Immune monitoring
KW - SARS-CoV-2
UR - http://www.scopus.com/inward/record.url?scp=85089116163&partnerID=8YFLogxK
U2 - 10.1186/s12967-020-02456-z
DO - 10.1186/s12967-020-02456-z
M3 - Article
C2 - 32736569
AN - SCOPUS:85089116163
SN - 1479-5876
VL - 18
JO - Journal of Translational Medicine
JF - Journal of Translational Medicine
IS - 1
M1 - 291
ER -