The reactome pathway knowledgebase 2022. Issue Volume 50:Issue D1(2022) (12th November 2021)

• Record Type: Journal Article
• Authors: Gillespie, Marc; Jassal, Bijay; Stephan, Ralf; Milacic, Marija; Rothfels, Karen; Senff-Ribeiro, Andrea; Griss, Johannes; Sevilla, Cristoffer; Matthews, Lisa; Gong, Chuqiao; Deng, Chuan; Varusai, Thawfeek; Ragueneau, Eliot; Haider, Yusra; May, Bruce; Shamovsky, Veronica; Weiser, Joel; Brunson, Timothy; Sanati, Nasim; Beckman, Liam; Shao, Xiang; Fabregat, Antonio; Sidiropoulos, Konstantinos; Murillo, Julieth; Viteri, Guilherme; Cook, Justin; Shorser, Solomon; Bader, Gary; Demir, Emek; Sander, Chris; Haw, Robin; Wu, Guanming; Stein, Lincoln; Hermjakob, Henning; D'Eustachio, Peter;
• Is Part Of: Nucleic acids research. Volume 50:Issue D1(2022)
• Page Start: D687
• Page End: D692
• Publication Date: 2021-11-12
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkab1028
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: The Reactome Knowledgebase (https://reactome.org ), an Elixir core resource, provides manually curated molecular details across a broad range of physiological and pathological biological processes in humans, including both hereditary and acquired disease processes. The processes are annotated as an ordered network of molecular transformations in a single consistent data model. Reactome thus functions both as a digital archive of manually curated human biological processes and as a tool for discovering functional relationships in data such as gene expression profiles or somatic mutation catalogs from tumor cells. Recent curation work has expanded our annotations of normal and disease-associated signaling processes and of the drugs that target them, in particular infections caused by the SARS-CoV-1 and SARS-CoV-2 coronaviruses and the host response to infection. New tools support better simultaneous analysis of high-throughput data from multiple sources and the placement of understudied ('dark') proteins from analyzed datasets in the context of Reactome's manually curated pathways.