A new experimental evidence-weighted signaling pathway resource in FlyBase.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
15 Sep 2023
Historique:
pubmed: 30 8 2023
medline: 30 8 2023
entrez: 30 8 2023
Statut: epublish

Résumé

Research in model organisms is central to the characterization of signaling pathways in multicellular organisms. Here, we present the systematic curation of 17 Drosophila signaling pathways using the Gene Ontology framework to establish a comprehensive and dynamic resource that has been incorporated into FlyBase, providing visualization and data integration tools to aid research projects. By restricting to experimental evidence reported in the research literature and quantifying the amount of such evidence for each gene in a pathway, we captured the landscape of empirical knowledge of signaling pathways in Comprehensive curation of Drosophila signaling pathways and new visual displays of the pathways provides a new FlyBase resource for researchers, and new insights into signaling pathway architecture.

Identifiants

pubmed: 37645956
doi: 10.1101/2023.08.10.552786
pmc: PMC10461922
pii:
doi:

Types de publication

Preprint

Langues

eng

Auteurs

Classifications MeSH