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HPtaa database-potential target genes for clinical diagnosis and immunotherapy of human carcinoma
1Department of Immunology, School of Basic Medical Sciences, Peking University Health Science Center Beijing 100083, China 2Bioinformatics Research Group, Key Laboratory of Intelligent Information Processing, Institute of Computing Technology Beijing 100080, China 3Department of Urology, First Hospital of Peking University, Institute of Urology, Peking University Beijing 100034, China 4Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Beijing 100032, China 5Ludwig Institute for Cancer Research, New York Branch at Memorial SloanKettering Cancer Center New York, NY 10021, USA 6Department of Biological Science and Biotechnology, Ministry of Education Key Laboratory of Bioinformatics, Tsinghua University Beijing 100084, China
*To whom correspondence should be addressed. Tel: +86 10 8280 2593; Fax: +86 10 8280 1436; Email: wfchen{at}public.bta.net.cn
Received August 15, 2005. Revised September 20, 2005. Accepted October 11, 2005.
Tumor-associated antigens (TAAs) have been the most actively employed targets in the clinical diagnosis and treatment of human carcinoma, such as PSA in the diagnosis of prostate cancer and NY-ESO-1 in the immunotherapy of melanoma and other cancers. However, identification of TAAs has often been hampered by the complicated and laborsome laboratory procedures. In order to accelerate the process of tumor antigen discovery, and thereby improve diagnosis and treatment of human carcinoma, we have made an effort to establish a publicly available Human Potential Tumor Associated Antigen database (HPtaa) with potential TAAs identified by in silico computing (http://www.hptaa.org). Tumor specificity was chosen as the core of tumor antigen evaluation, together with other relevant clues. Various platforms of gene expression, including microarray, expressed sequence tag and SAGE data, were processed and integrated by several penalty algorithms. A total of 3518 potential TAAs have been included in the database, which is freely available to academic users. As far as we know, this database is the first one addressing human potential TAAs, and the first one integrating various kinds of expression platforms for one purpose.
Correspondence may also be addressed to Yi Zhao. Tel: +86 10 6256 5533, ext. 5717; Fax: +86 10 6256 7724; Email: biozy{at}ict.ac.cn
The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors
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