Published online 11 October 2011 | Suresh Mathivanan1,* Cassie J. Fahner2, Gavin E. Reid2 and Richard J. Simpson1,*
ExoCarta is a manually curated database that catalogs exosomal proteins, RNA, and lipids from various studies. The database, available at http://www.exocarta.org, provides detailed information on the purification and characterization methods used, aiding researchers in assessing the quality of exosomal preparations. As of Version 3.1, ExoCarta includes 11,261 protein entries, 2,375 mRNA entries, and 764 miRNA entries from 134 exosomal studies. A new feature adds lipid data to the database, reflecting the growing interest in lipid composition and function in exosomes. The database is built using ZOPE, an open-source Python-based web application server, and can be queried by gene symbol/name or browsed by organism, content type, and sample material. ExoCarta also includes experimental details, gene ontology annotations, protein-protein interactions, and graphical displays of interaction networks. The database encourages community involvement through data contributions and credits, aiming to become a primary resource for exosome research.ExoCarta is a manually curated database that catalogs exosomal proteins, RNA, and lipids from various studies. The database, available at http://www.exocarta.org, provides detailed information on the purification and characterization methods used, aiding researchers in assessing the quality of exosomal preparations. As of Version 3.1, ExoCarta includes 11,261 protein entries, 2,375 mRNA entries, and 764 miRNA entries from 134 exosomal studies. A new feature adds lipid data to the database, reflecting the growing interest in lipid composition and function in exosomes. The database is built using ZOPE, an open-source Python-based web application server, and can be queried by gene symbol/name or browsed by organism, content type, and sample material. ExoCarta also includes experimental details, gene ontology annotations, protein-protein interactions, and graphical displays of interaction networks. The database encourages community involvement through data contributions and credits, aiming to become a primary resource for exosome research.