Find Reactions, Proteins and Pathways
Pathway Browser
Visualize and interact with Reactome biological pathways
Analysis Tools
Merges pathway identifier mapping,
over-representation, and expression analysis
ReactomeFIViz
Designed to find pathways and network patterns related to cancer and other types of diseases
Documentation
Information to browse the database and use its principal tools for data analysis
Reactome Research Spotlight
[January 12, 2024] In the November 2023 issue of Cell Communication and Signaling, Bukva et al. (2023) analyzed the proteomes of tumor-produced extracellular vesicles and identified sets of proteins that could discriminate tumor types, invasiveness, and proliferative capacity. In this analysis, 172 most predictive proteins were identified and used to classify nine tumor types with 91.67% efficiency. Reactome Pathway enrichment analysis of these proteins showed that each tumor type had perturbations in a distinct set of pathways. The proteins could be organized and used to discriminate the invasiveness and proliferative capacity of the tumors. High expression of proteins positively associated with invasiveness and proliferation correlated with reduced patient survival times.
Why Reactome
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.
Version 87 released on December 6th, 2023
2,673
Human Pathways
15,046
Reactions
11,392
Proteins
2,120
Small Molecules
1,046
Drugs
37,933
Literature References
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