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Tumor Associated Gene database


NAR Molecular Biology Database Collection entry number 922
Chan H.-H.1, Tsai S.-J.2,3, Sun H.S.1,3
1Institute of Molecular Medicine, National Cheng Kung University, Tainan 701, Taiwan
2Department of Physiology, National Cheng Kung University, Tainan 701, Taiwan
3Bioinformatics Center, Center for Biotechnology and Biosciences, National Cheng Kung University, Tainan 701, Taiwan

Database Description

The completion of human genome sequence has advanced a gigantic step toward a new era of biomedical research. Though the sequence itself is not the key for many currently unanswered questions related to human diseases, it sheds light on potential genetic solution of these diseases. We believe that the available annotations including physical characterization and functional protein domains of known tumor-related genes can be used to study the mechanisms underlying tumorigenesis. The tumor-associated gene (TAG; http://www.binfo.ncku.edu.tw/TAG) database was designed to utilize information from well-characterized oncogenes and tumor suppressor genes to facilitate cancer research. All target genes were identified through text-mining approach from the PubMed database. A semi-automatic information retrieving engine was built to collect specific information of these target genes from various resources and store in the TAG database. The information are arranged into five tables including ¡§Gene content¡¨, ¡§Protein domain/family¡¨, ¡§Gene Ontology¡¨, ¡§Disorder & Mutation¡¨, and ¡§Cross reference¡¨. At current stage, TAG database contains information for 198 oncogenes and 167 tumor suppressor genes that were known to be involved in the tumorigenesis in at least one cancer type. In addition, 151 genes that are known to be involved in oncogenesis but the genes actions have not been classified were also collected in the TAG database. We have designed user-friendly web interfaces that provide functions in searching and analysis of TAG information. Furthermore, we categorized all TAG domains and generate a weight matrix table to provide additional analysis in "oncogenic potential" for any customer-provided protein. The TAG is an integrated database that collected only well studied gene in related to oncogenesis. Beside to provide comprehensive information of well-known tumor-related genes to promote biomedical studies, our final goal is to identify novel TAG and study their role in tumorigenesis using a more systemic approach.

Acknowledgements

This study was supported by grant of National research program for genomic medicine (NRPGM) from National Science Council, Taiwan

Subcategory: Cancer gene databases

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