Introducing Reactome’s new Pathway Browser! Click the button to explore the new Pathway Browser Beta!
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Visualize and interact with Reactome biological pathways
Merges pathway identifier mapping,
over-representation, and expression analysis
Meet the React-to-Me AI Chatbot! Designed to answer your questions about Reactome Pathways.
Designed to find pathways and network patterns related to cancer and other types of diseases
Information to browse the database and use its principal tools for data analysis
[October 1, 2025] In their September 2025 Nature Biomedical Engineering paper, "An immune-competent lung-on-a-chip for modelling the human severe influenza infection response", Ringquist et al. show the importance of including tissue-resident and circulating immune cells, as well as stromal cells, in lung organoid chips to obtain a more realistic human in vitro model system for studying viral respiratory infections. Human-centric Reactome pathway enrichment analysis employed in this study shows that genes expressed in immune and stromal cells, mediating immune response and extracellular matrix remodelling pathways, respectively, are among the top 10% upregulated in influenza H1N1-infected lung organoids, amid a global transcriptional shutdown, providing evidence supporting the validity of this ex vivo model for studying lung infection disease.
Reactome is a free, open-source, curated and peer-reviewed pathway database. Our goal is to provide intuitive bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge to support basic research, genome analysis, modeling, systems biology and education.
The development of Reactome is supported by grants from the US National Institutes of Health (U24 HG012198) and the European Molecular Biology Laboratory.
Human Pathways
Reactions
Proteins
Small Molecules
Drugs
Literature References
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