Open Access Highly Accessed Database

GiSAO.db: a database for ageing research

Edith Hofer12, Gerhard T Laschober3, Matthias Hackl4, Gerhard G Thallinger1, Günter Lepperdinger3, Johannes Grillari4, Pidder Jansen-Dürr3 and Zlatko Trajanoski2*

Author affiliations

1 Institute for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14, 8010 Graz, Austria

2 Division for Bioinformatics, Biocenter, Innsbruck Medical University, Schöpfstrasse 45, 6020 Innsbruck, Austria

3 Institute for Biomedical Aging Research, Austrian Academy of Sciences, Rennweg 10, 6020 Innsbruck, Austria

4 Aging and Immortalization Research, Department of Biotechnology, University of Natural Resources and Applied Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria

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Citation and License

BMC Genomics 2011, 12:262  doi:10.1186/1471-2164-12-262

Published: 24 May 2011



Age-related gene expression patterns of Homo sapiens as well as of model organisms such as Mus musculus, Saccharomyces cerevisiae, Caenorhabditis elegans and Drosophila melanogaster are a basis for understanding the genetic mechanisms of ageing. For an effective analysis and interpretation of expression profiles it is necessary to store and manage huge amounts of data in an organized way, so that these data can be accessed and processed easily.


GiSAO.db (Genes involved in senescence, apoptosis and oxidative stress database) is a web-based database system for storing and retrieving ageing-related experimental data. Expression data of genes and miRNAs, annotation data like gene identifiers and GO terms, orthologs data and data of follow-up experiments are stored in the database. A user-friendly web application provides access to the stored data. KEGG pathways were incorporated and links to external databases augment the information in GiSAO.db. Search functions facilitate retrieval of data which can also be exported for further processing.


We have developed a centralized database that is very well suited for the management of data for ageing research. The database can be accessed at webcite and all the stored data can be viewed with a guest account.