Abstract
Hundreds of genes and miRNAs have been identified as being involved in the determination of longevity, aging patterns and in the development of age-related diseases (ARDs). The interplay between these genes as well as the role of miRNAs in the context of protein–protein interaction networks has as yet been poorly addressed. This work was undertaken in order to integrate the data accumulated in the field, from a network-based perspective. The results are organized in the NetAge database—an online database and network analysis tools for biogerontological research (http://www.netage-project.org). The NetAge database contains gene sets and miRNA-regulated PPI networks for longevity, ARDs and aging-associated processes, and also common signatures (overlapping networks). The database is available through the NetAge website, which provides the necessary bioinformatics tools for searching and browsing the networks, as well as showing network info and statistics. By making these resources available online, we hope to provide the scientific community with a new, network-oriented platform for biogerontological research, and encourage greater participation in the systems biology of aging.
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Abbreviations
- ARDs:
-
Age-related diseases
- AD:
-
Alzheimer’s disease
- CGS:
-
Common gene signature
- HLN:
-
Human longevity network
- LAGs:
-
Longevity-associated genes
- miRNA:
-
Micro RNA
- PPI:
-
Protein–protein interaction
- YABNA:
-
Yet another biological networks analyzer
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Acknowledgments
We would like to acknowledge all the members from the Lab for the Biology of Aging and from the Lab of Molecular Biology of the Cell for their contribution, insightful suggestions and helpful comments. This work was supported by the European Union FP7 Health Research Grant number HEALTH-F4-2008-202047 (to V.F).
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Tacutu, R., Budovsky, A. & Fraifeld, V.E. The NetAge database: a compendium of networks for longevity, age-related diseases and associated processes. Biogerontology 11, 513–522 (2010). https://doi.org/10.1007/s10522-010-9265-8
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DOI: https://doi.org/10.1007/s10522-010-9265-8