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

Rinchai, Darawan and Syed Ahamed Kabeer, Basirudeen and Toufiq, Mohammed and Tatari-Calderone, Zohreh and Deola, Sara and Brummaier, Tobias and Garand, Mathieu and Branco, Ricardo and Baldwin, Nicole and Alfaki, Mohamed and Altman, Matthew C. and Ballestrero, Alberto and Bassetti, Matteo and Zoppoli, Gabriele and De Maria, Andrea and Tang, Benjamin and Bedognetti, Davide and Chaussabel, Damien. (2020) A modular framework for the development of targeted Covid-19 blood transcript profiling panels. Journal of translational medicine, 18. p. 291.

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Abstract

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.; 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: immunological relevance, therapeutic development relevance and SARS biology 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.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Medicine (MED)
UniBasel Contributors:Brummaier, Tobias
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:1479-5876
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:19 Dec 2022 08:00
Deposited On:19 Dec 2022 08:00

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