Journal article
A modular framework for the development of targeted Covid-19 blood transcript profiling panels
- Abstract:
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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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 4.0MB, Terms of use)
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- Publisher copy:
- 10.1186/s12967-020-02456-z
Authors
- Publisher:
- BioMed Central
- Journal:
- Journal of Translational Medicine More from this journal
- Volume:
- 18
- Issue:
- 1
- Article number:
- 291
- Publication date:
- 2020-07-31
- Acceptance date:
- 2020-07-21
- DOI:
- EISSN:
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1479-5876
- Pmid:
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32736569
- Language:
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English
- Keywords:
- Pubs id:
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1124429
- Local pid:
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pubs:1124429
- Deposit date:
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2021-03-04
Terms of use
- Copyright holder:
- D Rinchai et al.
- Copyright date:
- 2020
- Rights statement:
- © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativeco mmons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
- Licence:
- CC Attribution (CC BY)
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