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Expert Review of Respiratory Medicine Volume 17, 2023 - Issue 11
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Review

Gene signatures in U-BIOPRED severe asthma for molecular phenotyping and precision medicine: time for clinical use

Nazanin Kermania National Heart & Lung Institute & Data Science Institute, Imperial College London, London, UKView further author information
,
Ali Versia National Heart & Lung Institute & Data Science Institute, Imperial College London, London, UKView further author information
,
Aurore Gayb Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Centre Groningen, Groningen, The NetherlandsView further author information
,
Jelmer Vlasmab Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Centre Groningen, Groningen, The NetherlandsView further author information
,
Akshaya Keerthi Saikumar Jayalathab Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Centre Groningen, Groningen, The NetherlandsView further author information
,
Gerard H. Koppelmanb Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Centre Groningen, Groningen, The Netherlands;c Beatrix Children’s Hospital, University of Groningen, University Medical Center Groningen, Groningen, Groningen, the NetherlandsView further author information
,
Martijn Nawijnb Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Centre Groningen, Groningen, The NetherlandsView further author information
,
Alen Faizd School of Life Sciences, Respiratory Bioinformatics and Molecular Biology, University of Technology Sydney, Sydney, AustraliaView further author information
,
Maarten van den Bergeb Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Centre Groningen, Groningen, The Netherlands;e Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, the NetherlandsView further author information
,
Ian M. Adcocka National Heart & Lung Institute & Data Science Institute, Imperial College London, London, UKView further author information
&
Kian Fan Chunga National Heart & Lung Institute & Data Science Institute, Imperial College London, London, UK;f Royal Brompton and Harefield Hospital, London, UKCorrespondence[email protected]
View further author information
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Pages 965-971 | Received 10 Sep 2023, Accepted 30 Oct 2023, Published online: 24 Nov 2023

Figures & data

Figure 1. List of gene signatures associated with each of the transcriptome-associated clusters (TACs) and GSVA heatmap of signatures associated with specific pathways. Heatmap showing the GSVA enrichment score of the pathway signatures for IL13-Th2, ILC2, inflammasome, neutrophil, aging, and OXPHOS grouped by the TACs. (Data taken from Kuo et al. T-helper cell type 2 (Th2) and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in U-BIOPRED. Eur Respir J. 2017;49(2): 1602135.).

Figure 1. List of gene signatures associated with each of the transcriptome-associated clusters (TACs) and GSVA heatmap of signatures associated with specific pathways. Heatmap showing the GSVA enrichment score of the pathway signatures for IL13-Th2, ILC2, inflammasome, neutrophil, aging, and OXPHOS grouped by the TACs. (Data taken from Kuo et al. T-helper cell type 2 (Th2) and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in U-BIOPRED. Eur Respir J. 2017;49(2): 1602135.).

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