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

[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.

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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

To cite the use of Reactome in your work, please reference one or more of the following publications:

  • Milacic M, Beavers D, Conley P, Gong C, Gillespie M, Griss J, Haw R, Jassal B, Matthews L, May B, Petryszak R, Ragueneau E, Rothfels K, Sevilla C, Shamovsky V, Stephan R, Tiwari K, Varusai T, Weiser J, Wright A, Wu G, Stein L, Hermjakob H, D’Eustachio P. The Reactome Pathway Knowledgebase 2024. Nucleic Acids Research. 2024. doi: 10.1093/nar/gkad1025. Link
  • Griss J, Viteri G, Sidiropoulos K, Nguyen V, Fabregat A, Hermjakob H. ReactomeGSA - Efficient Multi-Omics Comparative Pathway Analysis. Mol Cell Proteomics. 2020 Sep 9. doi: 10.1074/mcp. PubMed PMID: 32907876.
  • Jassal B, Matthews L, Viteri G, Gong C, Lorente P, Fabregat A, Sidiropoulos K, Cook J, Gillespie M, Haw R, Loney F, May B, Milacic M, Rothfels K, Sevilla C, Shamovsky V, Shorser S, Varusai T, Weiser J, Wu G, Stein L, Hermjakob H, D'Eustachio P. The reactome pathway knowledgebase. Nucleic Acids Res. 2020 Jan 8;48(D1):D498-D503. doi: 10.1093/nar/gkz1031. PubMed PMID: 31691815.
  • Fabregat A, Korninger F, Viteri G, Sidiropoulos K, Marin-Garcia P, Ping P, Wu G, Stein L, D'Eustachio P, Hermjakob H. Reactome graph database: Efficient accessto complex pathway data. PLoS Comput Biol. 2018 Jan 29;14(1):e1005968. doi: 10.1371/journal.pcbi.1005968. eCollection 2018 Jan. PubMed PMID: 29377902.
  • Fabregat A, Sidiropoulos K, Viteri G, Marin-Garcia P, Ping P, Stein L, D'Eustachio P, Hermjakob H. Reactome diagram viewer: data structures and strategies to boost performance. Bioinformatics. 2018 Apr 1;34(7):1208-1214. doi: 10.1093/bioinformatics/btx752. PubMed PMID: 29186351.
  • Sidiropoulos K, Viteri G, Sevilla C, Jupe S, Webber M, Orlic-Milacic M, Jassal B, May B, Shamovsky V, Duenas C, Rothfels K, Matthews L, Song H, Stein L, Haw R, D'Eustachio P, Ping P, Hermjakob H, Fabregat A. Reactome enhanced pathway visualization. Bioinformatics. 2017 Nov 1;33(21):3461-3467. doi: 10.1093/bioinformatics/btx441. PubMed PMID: 29077811.
  • Fabregat A, Sidiropoulos K, Viteri G, Forner O, Marin-Garcia P, Arnau V, D'Eustachio P, Stein L, Hermjakob H. Reactome pathway analysis: a high-performance in-memory approach. BMC Bioinformatics. 2017 Mar 2;18(1):142. doi: 10.1186/s12859-017-1559-2. PubMed PMID: 28249561.
  • Wu G, Haw R. Functional Interaction Network Construction and Analysis for Disease Discovery. Methods Mol Biol. 2017;1558:235-253. doi: 10.1007/978-1-4939-6783-4_11. PubMed PMID: 28150241. 

To cite a pathway. 

Please use the appropriate DOI from the Table of Contents within the citation, when it is available. Otherwise, use the stable identifier of the pathway. You can add a DOI to the end of your citation following the appropriate style. Generally, these citations follow this format: Author, A. (year). “Title of pathway". Reactome, release#, URL with doi:xxxxxx (date of access). If a DOI is unavailable, please follow this format: “Title of pathway". Reactome, release#, URL with StableID: R-HSA-xxxxxx.x (date of access).

Please find other citing styles at APA Style: Purdue U Online Writing Lab.

To reference an image.

Within your citation, please use, where available, the DOI associated with the pathway of interest. This information can be found on our DOI page, when it is available. Otherwise, use the stable identifier of the pathway associated with the image. You can add a DOI to the end of your citation following the appropriate style. Generally, these citations follow this format:  Image for “Title of pathway". Reactome, release#, URL with doi:xxxxxx (date of access). If a DOI is unavailable, please follow this format: Image for “Title of pathway". Reactome, release#, URL with StableID: R-HSA-xxxxxx.x (date of access).

To cite our files available for download.

Please use the following format: "Name of file", Reactome, release#, https://reactome.org/download-data/ (date of access).

When citing information obtained in a search.

It should be remembered that while we strive to contain the most current and accurate data, Reactome should not be used in citations where other primary sources of information are available.

Cite Us!