EV-ADD, a database for EV-associated DNA in human liquid biopsy samples

Area of Science:

• Biochemistry
• Molecular Biology
• Genomics

Background:

• Extracellular vesicles (EVs) are crucial for intercellular communication in health and disease.
• EVs carry molecular cargo, including DNA (EV-DNA), serving as potential biomarkers.
• Existing databases lack comprehensive EV-DNA information from human biofluids.

Purpose of the Study:

• To establish the Extracellular Vesicle-Associated DNA Database (EV-ADD).
• To curate and centralize validated EV-DNA data from human biofluids and in-vitro studies.
• To support liquid biopsy research by providing a searchable resource for EV-DNA information.

Main Methods:

• Manual curation of peer-reviewed literature on EV-DNA.
• Data extraction on EV isolation, EV-DNA isolation, quality validation, and genetic content.
• Development of a data metric system for MISEV guideline compliance.

Main Results:

• The EV-ADD database contains curated data from studies on 23 diseases and 8 human biofluids.
• It includes information on 13 EV isolation techniques and various EV-DNA types (whole genome, oncogenes, mtDNA).
• A compliance scoring system for MISEV guidelines is integrated.

Conclusions:

• EV-ADD is the first database to compile EV-DNA datasets from human biofluid samples.
• It serves as a valuable reference and learning tool for EV-DNA liquid biopsy research.
• The database will be updated annually and is freely accessible.