Rasmussen H H, Orntoft T F, Wolf H, Celis J E
Department of Medical Biochemistry, University of Aarhus, Denmark.
J Urol. 1996 Jun;155(6):2113-9.
To establish a comprehensive two-dimensional database of proteins from the urine of patients with bladder cancer.
Urines dialized against distilled H2O were freeze-dried and subjected to isoelectrofocusing two-dimensional gel electrophoresis. Coomassie brilliant blue stained dry gels were scanned and analyzed with the PDQUEST software. Proteins were identified by one or more of the following techniques: microsequencing (44 proteins), mass spectrometry, comigration and immunoblotting.
The urine protein database, which includes all the polypeptides detected in the urines of 50 patients, lists 339 proteins (including variants) of which 124 have been identified. Of these, psoriasin, the psoriasis-associated fatty acid binding protein 5, the gelsolin fragments and prostaglandin D2 synthetase have not been previously described.
The database provides a solid basis for further studies aiming at identifying tumor markers in the urine that may serve as prognostic factors in bladder cancer.
建立膀胱癌患者尿液蛋白质的全面二维数据库。
用蒸馏水透析后的尿液冻干，进行等电聚焦二维凝胶电泳。用考马斯亮蓝染色的干凝胶进行扫描并用PDQUEST软件分析。通过以下一种或多种技术鉴定蛋白质：微量测序（44种蛋白质）、质谱分析、共迁移和免疫印迹。
尿液蛋白质数据库包含在50名患者尿液中检测到的所有多肽，列出了339种蛋白质（包括变体），其中124种已被鉴定。其中，银屑素、银屑病相关脂肪酸结合蛋白5、凝溶胶蛋白片段和前列腺素D2合成酶此前尚未见报道。
该数据库为进一步研究旨在鉴定尿液中可能作为膀胱癌预后因素的肿瘤标志物提供了坚实基础。
