Vesiclepedia: a compendium for extracellular vesicles with continuous community annotation

Area of Science:

• Biochemistry
• Molecular Biology
• Cell Biology

Background:

• Extracellular vesicles (EVs) are crucial for intercellular communication and have roles in pathogenesis and therapeutic delivery.
• The exponential increase in EV molecular data necessitates organized, accessible resources.
• Existing databases face challenges with outdated information and inactive links.

Purpose of the Study:

• To introduce Vesiclepedia, a manually curated compendium of molecular data from extracellular vesicles (EVs).
• To establish a continuously updated, community-driven resource for the EV research field.
• To address the problem of database decay and link rot in scientific data repositories.

Main Methods:

• Manual curation of molecular data (lipids, RNA, proteins) from over 300 independent EV studies.
• Development of a community annotation project for ongoing data input and validation.
• Implementation of strategies to ensure continuous updates and prevent database decay.

Main Results:

• Vesiclepedia compiles molecular data from diverse EV classes across numerous studies.
• A community annotation project has been initiated to ensure data longevity and accuracy.
• The database is designed to counteract common issues of outdated and inaccessible scientific data.

Conclusions:

• Vesiclepedia offers a robust, community-supported platform for EV molecular data.
• This initiative aims to set a gold standard for data sharing in the EV research community.
• The compendium has the potential to become a primary resource for advancing EV science.