Journal article
Profiling of lung SARS-CoV-2 and influenza virus infection dissects virus-specific host responses and gene signatures
A Kulasinghe, CW Tan, AFR dos Santos Miggiolaro, J Monkman, H SadeghiRad, DD Bhuva, J da Silva Motta Junior, CBV de Paula, S Nagashima, CP Baena, P Souza-Fonseca-Guimaraes, L de Noronha, T McCulloch, GR Rossi, C Cooper, B Tang, KR Short, MJ Davis, F Souza-Fonseca-Guimaraes, GT Belz Show all
European Respiratory Journal | Published : 2022
Abstract
Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which emerged in late 2019 has spread globally, causing a pandemic of respiratory illness designated coronavirus disease 2019 (COVID-19). A better definition of the pulmonary host response to SARS-CoV-2 infection is required to understand viral pathogenesis and to validate putative COVID-19 biomarkers that have been proposed in clinical studies. Methods Here, we use targeted transcriptomics of formalin-fixed paraffin-embedded tissue using the NanoString GeoMX platform to generate an in-depth picture of the pulmonary transcriptional landscape of COVID-19, pandemic H1N1 influenza and uninfected control patients. Result..
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Awarded by Australian Government
Funding Acknowledgements
This work was supported by grants and fellowships from the National Health and Medical Research Council (NHMRC) of Australia (1157741 A. Kulasinghe; 1135898 G.T. Belz, 1140406 F. Souza-Fonseca-Guimaraes), Priority driven Collaborative Cancer Research Scheme, funded by Cure Cancer Australia with the assistance of Cancer Australia and the Can Too Foundation (1182179 A. Kulasinghe; 1158085 F. Souza-Fonseca-Guimaraes), Princess Alexandra Research Foundation (K. O'Byrne), University of Queensland (G.T. Belz, F. Souza-Fonseca-Guimaraes), Queensland University of Technology (A. Kulasinghe), The Garnett Passe and Rodney Williams Memorial Foundation (A. Kulasinghe), Walter and Eliza Hall Institute of Medical Research (C.W. Tan, D.D. Bhuva and M.J. Davis). M.J. Davis is supported by the Betty Smyth Centenary Fellowship in Bioinformatics. D.D. Bhuva is supported by a Chan Zuckerberg Initiative Program grant awarded to G. Smyth. Funding information for this article has been deposited with the Crossref Funder Registry.