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AgeFactDB--the JenAge Ageing Factor Database--towards data integration in ageing research
Rolf Hühne1, Torsten Thalheim, Jürgen Sühnel
1Biocomputing Group, Leibniz Institute for Age Research - Fritz Lipmann Institute, Jena Centre for Systems Biology of Ageing - JenAge, Beutenbergstrasse 11, Jena, Germany.
Nucleic Acids Research
|November 13, 2013
Summary
AgeFactDB is a comprehensive database for ageing research, integrating genes, compounds, and dietary factors influencing lifespan and phenotypes. It facilitates discovery of novel ageing-related genes through homology data, aiding scientific exploration.
Area of Science:
- Gerontology and bioinformatics.
- Integrative biology and data science.
Background:
- Ageing research requires extensive data on factors influencing lifespan and phenotypes.
- Existing databases often focus on specific aspects of ageing, necessitating integrated resources.
Purpose of the Study:
- To develop AgeFactDB, a centralized database for collecting and integrating ageing phenotype and lifespan data.
- To provide a comprehensive resource for ageing factors, including genes, chemical compounds, and dietary interventions.
- To identify and present candidate ageing-related genes through homology analysis.
Main Methods:
- Data collection from existing databases (GenAge, Lifespan Observations Database, GenDR).
- Integration of new ageing-related information.
- Utilizing homology data from HomoloGene Database to identify putative ageing genes.
- Development of dedicated observation and ageing factor pages.
Main Results:
- AgeFactDB consolidates ageing phenotype data, including lifespan information.
- The database includes detailed information on ageing factors and their observed effects.
- Homologous genes to known ageing-related genes are identified as candidates for further study.
- Data is accessible through various search and browse options.
Conclusions:
- AgeFactDB serves as a valuable, integrated resource for the ageing research community.
- The database facilitates the exploration of ageing factors and the identification of novel ageing-related genes.
- Provides downloadable data in multiple formats (TSV, CSV, XML) for further analysis.
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