アブストラクト
| Date | September 25, 2007 |
| Speaker | Dr. John N. Weinstein, Genomics & Bioinformatics Group, National Cancer Institute |
| Title | The Miner Suite and its Application to Cancer: Bioinformatic Resources that Complement KEGG |
| Abstract |
The underlying hypothesis of what we have termed “integromics” is that different types of molecular information can combine “synergistically.” One example is our research [1] using the panel of 60 human cancer cell lines (NCI-60) used by the U.S. NCI to screen >100,000 compounds for anticancer activity. We and our collaborators have profiled those cells extensively at the DNA, RNA, protein, chromosomal, functional, and pharmacological levels using >15 microarray platforms overall. To aid in integrating the different types of molecular information, we have been developing the Miner Suite of publicly available web-based bioinformatic tools and molecular profile databases. Included to date are MedMiner, CIMminer, GoMiner, High-throughput GoMiner, CellMiner, MIMminer, SmudgeMiner, MatchMiner, and AbMiner. The most recent tool, SpliceMiner, is an engine for dealing with splice variation [5]. The Miner Suite complements the very impressive KEGG pathway databases and bioinformatic tools. In 2006, we and our collaborators launched the “Spotlight on Molecular Profiling” series [2-4] in Molecular Cancer Therapeutics to make the tools and profile data widely available for an integrative, systems-oriented approach to drug and biomarker discovery as part of the drive toward “personalized medicine” [6,7].
http://discover.nci.nih.gov. References; 1. Weinstein, et al. An information-intensive approach... Science 1997; 275:343. 2. Weinstein, Spotlight on molecular profiling: ‘integromic’... Mol. Ca. Ther. 2006;5:2601. 3. Lorenzi, et al., Asparagine synthetase as a biomarker… ibid 2006;5:2613. 4. Ikediobi, et al., Mutation analysis… ibid 2006;5:2606. 5. Kahn, SpliceMiner... BMC Bioinformatics 2007;8:75. 6. Ludwig and Weinstein, Biomarkers… Nature Reviews Cancer 2005;5:845. 7. Lee, et al. A new strategy for predicting chemosensitivity... PNAS 2007;104;13086. |