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Background  High throughput techniques have generated a huge set of biological data, which are deposited in various databases. Efficient exploitation of these databases is often hampered by a lack of appropriate tools, which allow easy and reliable identification of genes that miss functional characterization but are correlated with specific biological conditions (e.g. organotypic expression).    Results  We have developed a simple algorithm (DGSA =  D atabase-dependent  G ene  S election and  A nalysis) to identify genes with unknown functions involved in organ development concentrating on the heart. Using our approach, we identified a large number of yet uncharacterized genes, which are expressed during heart development. An initial functional characterization of genes by loss-of-function analysis employing morpholino injections into zebrafish embryos disclosed severe developmental defects indicating a decisive function of selected genes for developmental processes.    Conclusion  We conclude that DGSA is a versatile tool for database mining allowing efficient selection of uncharacterized genes for functional analysis.

An integrated approach for the systematic identification and characterization of heart-enriched genes with unknown functions