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Nucleic Acids Research Advance Access originally published online on November 10, 2006
Nucleic Acids Research 2007 35(Database issue):D727-D731; doi:10.1093/nar/gkl845
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Nucleic Acids Research, 2007, Vol. 35, Database issue D727-D731
© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


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OncoDB.HCC: an integrated oncogenomic database of hepatocellular carcinoma revealed aberrant cancer target genes and loci

Wen-Hui Su1,5, Chuan-Chuan Chao5, Shiou-Hwei Yeh2, Ding-Shinn Chen3,4, Pei-Jer Chen3,4 and Yuh-Shan Jou1,5,*

1 Graduate Institute of Life Sciences, National Defense Medical Center National Defense University, Taipei 114, Taiwan 2 Department of Microbiology, National Taiwan University Hospital Taipei, Taiwan 3 Hepatitis Research Center, Department of Internal Medicine, National Taiwan University Hospital Taipei, Taiwan 4 Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University Taipei, Taiwan 5 Institute of Biomedical Sciences, Academia Sinica Taipei, Taiwan

*To whom correspondence should be addressed. Tel: +886 2 26523521; Fax: +886 2 27827654; Email: jou{at}ibms.sinica.edu.tw

Received July 18, 2006. Revised October 9, 2006. Accepted October 9, 2006.

The OncoDB.HCC (http://oncodb.hcc.ibms.sinica.edu.tw) is based on physical maps of rodent and human genomes containing quantitative trait loci of rodent HCC models and various human HCC somatic aberrations including chromosomal data from loss of heterozygosity and comparative genome hybridization analyses, altered expression of genes from microarray and proteomic studies, and finally experimental data of published HCC genes. Comprehensive integration of HCC genomic aberration data avoids potential pitfalls of data inconsistency from single genomic approach and provides lines of evidence to reveal somatic aberrations from levels of DNA, RNA to protein. Twenty-nine of 30 (96.7%) novel HCC genes with significant altered expressions in compared between tumor and adjacent normal tissues were validated by RT–PCR in 45 pairs of HCC tissues and by matching expression profiles in 57 HCC patients of re-analyzed Stanford HCC microarray data. Comparative mapping of HCC loci in between human aberrant chromosomal regions and QTLs of rodent HCC models revealed 12 syntenic HCC regions with 2 loci effectively narrowed down to 2 Mb. Together, OncoDB.HCC graphically presents comprehensive HCC data integration, reveals important HCC genes and loci for positional cloning and functional studies, and discloses potential molecular targets for improving HCC diagnosis and therapy.


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