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A modular framework for the development of targeted Covid-19 blood transcript profiling panels
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4603419
Author(s) Rinchai, Darawan; Syed Ahamed Kabeer, Basirudeen; Toufiq, Mohammed; Tatari-Calderone, Zohreh; Deola, Sara; Brummaier, Tobias; Garand, Mathieu; Branco, Ricardo; Baldwin, Nicole; Alfaki, Mohamed; Altman, Matthew C.; Ballestrero, Alberto; Bassetti, Matteo; Zoppoli, Gabriele; De Maria, Andrea; Tang, Benjamin; Bedognetti, Davide; Chaussabel, Damien
Author(s) at UniBasel Brummaier, Tobias
Year 2020
Title A modular framework for the development of targeted Covid-19 blood transcript profiling panels
Journal Journal of translational medicine
Volume 18
Number 1
Pages / Article-Number 291
Keywords Blood transcriptomics; Covid-19; Immune monitoring; SARS-CoV-2
Mesh terms Adult; Antibodies, Viral, blood; Betacoronavirus; Coronavirus Infections, blood, diagnosis, immunology; Gene Expression Profiling; Humans; Immune System; Internet; Pandemics; Pneumonia, Viral, blood, diagnosis, immunology; RNA-Seq; Software; Transcriptome
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.
ISSN/ISBN 1479-5876
edoc-URL https://edoc.unibas.ch/78499/
Full Text on edoc Available
Digital Object Identifier DOI 10.1186/s12967-020-02456-z
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/32736569
ISI-Number WOS:000559754000001
Document type (ISI) Journal Article
 
   

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