PUBLICATION
An integrated approach for the systematic identification and characterization of heart-enriched genes with unknown functions
- Authors
- Uchida, S., Schneider, A., Wiesnet, M., Jungblut, B., Zarjitskaya, P., Jenniches, K., Kreymborg, K.G., Seeger, W., and Braun, T.
- ID
- ZDB-PUB-090310-18
- Date
- 2009
- Source
- BMC Genomics 10: 100 (Journal)
- Registered Authors
- Jungblut, Benno
- Keywords
- none
- MeSH Terms
-
- Algorithms*
- Animals
- Computational Biology
- Database Management Systems*
- Databases, Genetic
- Gene Expression Profiling/methods*
- Gene Expression Regulation, Developmental
- Mice
- Myocardium/metabolism*
- Oligonucleotide Array Sequence Analysis/methods
- Sequence Analysis, RNA
- Zebrafish/embryology
- Zebrafish/genetics
- PubMed
- 19267916 Full text @ BMC Genomics
Citation
Uchida, S., Schneider, A., Wiesnet, M., Jungblut, B., Zarjitskaya, P., Jenniches, K., Kreymborg, K.G., Seeger, W., and Braun, T. (2009) An integrated approach for the systematic identification and characterization of heart-enriched genes with unknown functions. BMC Genomics. 10:100.
Abstract
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 (f.e. organotypic expression). RESULTS: We have developed a simple algorithm (DGSA = Database-dependent Gene Selection and Analysis) 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. CONCLUSIONS: We conclude that DGSA is a versatile tool for database mining allowing efficient selection of uncharacterized genes for functional analysis.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping