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Proteomic Comparison of Two-Dimensional Gel Electrophoresis Profiles from Human Lung Squamous Carcinoma and Normal Bronchial Epithelial Tissues

机译:人肺鳞癌和正常支气管上皮组织的二维凝胶电泳图谱的蛋白质组学比较

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摘要

Differential proteome profiles of human lung squamous carcinoma tissue compared to paired tumor-adjacent normal bronchial epithelial tissue were established and analyzed by means of immobilized pH gradient-based two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS). The results showed that well-resolved, reproducible 2-DE patterns of human lung squamous carcinoma and adjacent normal bronchial epithelial tissues were obtained under the condition of 0.75-mg protein-load. The average deviation of spot position was 0.733±0.101 mm in IEF direction, and 0.925±0.207 mm in SDS-PAGE direction. For tumor tissue, a total of 1241±88 spots were detected, 987±65 spots were matched with an average matching rate of 79.5%. For control, a total of 1190±72 spots were detected, and 875±48 spots were matched with an average matching rate of 73.5%. A total of 864±34 spots were matched between tumors and controls. Forty-three differential proteins were characterized: some proteins were related to oncogenes, and others involved in the regulation of cell cycle and signal transduction. It is suggested that the differential proteomic approach is valuable for mass identification of differentially expressed proteins involved in lung carcinogenesis. These data will be used to establish human lung cancer proteome database to further study human lung squamous carcinoma.
机译:通过固定化基于pH梯度的二维聚丙烯酰胺凝胶电泳(2-D PAGE)和基质辅助激光解吸/分离技术,建立并分析了人类肺鳞癌组织与配对的肿瘤相邻正常支气管上皮组织相比的差异蛋白质组谱。电离飞行时间质谱(MALDI-TOF-MS)。结果表明,在0.75 mg蛋白质负荷的条件下,获得了分辨率良好,可重现的人肺鳞癌和邻近正常支气管上皮组织的2-DE模式。 IEF方向的光斑位置平均偏差为0.733±0.101mm,SDS-PAGE方向的光斑位置平均偏差为0.925±0.207mm。肿瘤组织共检测到1241±88个点,匹配987±65个点,平均匹配率为79.5%。作为对照,共检测到1190±72个斑点,对875±48个斑点进行匹配,平均匹配率为73.5%。肿瘤和对照之间总共匹配864±34个斑点。共鉴定了43种差异蛋白:一些蛋白与癌基因有关,其他蛋白则参与细胞周期和信号转导的调控。有人提出,差异蛋白质组学方法对于大规模鉴定参与肺癌致癌作用的差异表达蛋白是有价值的。这些数据将用于建立人类肺癌蛋白质组数据库,以进一步研究人类肺鳞癌。

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