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

[April 15, 2024] In the December issue of Toxicology and Applied Pharmacology, Zhang et al. (2023) used the R package, ReactomePA (Yu and He, 2016) to identify enriched pathways responding to nickel-induced transcriptional memory changes in response to a second respiratory toxicant, nicotine. Nicotine exposure upregulated a specific subset of genes in the cells previously exposed to nickel, identifying a robust activation of interferon (IFN) signaling, a driver of inflammation associated with many chronic lung diseases.

ARCHIVE

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. 

European Bioinformatics Institute (EMBL-EBI)
NYU Langone Health
Oregon Health & Science University
Ontario Institute for Cancer Research

The development of Reactome is supported by grants from the US National Institutes of Health (U24 HG012198) and the European Molecular Biology Laboratory.

Version 88 released on March 27th, 2024

2,698

Human Pathways

15,212

Reactions

11,442

Proteins

2,128

Small Molecules

1,047

Drugs

38,549

Literature References

The "Reaction PMIDs" file comprises of a tab-separated table consisting of two columns that provide information about the research publications associated with Reactome pathways. The first column provides the pathway stable identifier, whereas the second column provides the PubMed citation identifier.

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