摘要
目的:对结核性胸腔积液进行差异蛋白分析,尝试找出在结核性胸腔积液特征性表达的蛋白点,探索准确、快速、经济、简便的新型结核性胸膜炎实验诊断方法。方法:运用双向凝胶电泳技术对20例结核性胸膜炎、19例恶性胸腔积液和6例漏出液进行蛋白电泳分离,PDQuest8.0软件分析蛋白的等电点、分子量范围、灰度值等,最后进行凝胶图谱比较分析,得到差异蛋白点。结果:结核组与漏出组产生13个差异蛋白点,其中结核性胸腔积液较漏出液上调的蛋白点9个,下调的有4个;结核组与恶性组产生11个差异蛋白点,其中结核性胸腔积液较恶性上调的蛋白点5个,下调的有4个,仅在恶性胸腔积液表达的蛋白点2个。结论:双向电泳技术可获得分辨率和重复率较高的结核性、恶性和漏出性胸腔积液蛋白质凝胶图谱,三者存在差异蛋白点。
Objective To analyze the different expressed protein of pleural effusion caused by tuberculosis and to identify proteins associated with tuberculous pleural effusion for building an economic, rapid,and accurate diagnostic method. Methods Two-dimensional gel electrophoresis technology was applied to separate protein in pleural effusion of 20 cases of tuberculous pleurisy,19 cases of lung cancer patients and 6 cases of transudate. Analysis of isoelectric point, the range of molecular weight, matching rate and grey value of the protein was carried out by the PDQuest8.0 software.Then the electrophoregram was compared to get the distinct protein. Results There were 13 differential protein spots between tuberculous pleural effusion and the transudateand 9 protein spots were highly expressed for two folds, but 4 protein spots poorly expressed for 0.5 folds in pleural effusion caused by tuberculous pleurisy. There were 11 differential protein spots between tuberculous and malignant pleural effusion and 5 protein spots were highly expressed, but 4 protein spots poorly expressed in pleural effusion caused by tuberculous pleurisy, while 2 protein spots were expressed only in the pleural effusion caused by lung cancer. Conclusion Two-dimensional electrophoresis technology is available to acquire an electrophoretogram of pleural effusion caused by tuberculosis, lung cancer and transudate with well resolution and high repetition rate.In addition, there are different protein spots.
出处
《实用医学杂志》
CAS
北大核心
2016年第14期2326-2329,共4页
The Journal of Practical Medicine
基金
广州市科技计划项目(编号:2014Y2-00117)
广州市科技计划课题(编号:155700012)
关键词
双向电泳技术
结核性胸腔积液
蛋白质组学
Two-dimensional electrophoresis
Tuberculous pleural effusion
Proteomics
