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应用差异凝胶电泳及质谱技术筛选肺癌患者血浆差异蛋白
引用本文:沙慧芳,孙强玲,杨晓华,储天睛,谢银银,鲁静,包国良,冯久贤,龚乐罗. 应用差异凝胶电泳及质谱技术筛选肺癌患者血浆差异蛋白[J]. 上海交通大学学报(医学版), 2010, 30(4): 399-403
作者姓名:沙慧芳  孙强玲  杨晓华  储天睛  谢银银  鲁静  包国良  冯久贤  龚乐罗
作者单位:1. 上海交通大学胸科医院基础研究室
2. 上海交通大学胸科医院肺内科,上海,200030
3. 医学院瑞金医院血液学研究所,上海,200025
基金项目:上海市市级医院新兴前沿技术联合攻关项目
摘    要:目的 建立健康者、肺部炎症患者和肺癌患者的血浆蛋白表达谱,寻找与肺癌早期发生相关的差异蛋白.方法 应用差异凝胶电泳(DIGE)和基质辅助激光解吸飞行时间质谱(MALDI-TOF-MS)对健康者、肺部炎症患者和I期肺癌患者血浆进行蛋白质组学比较研究,寻找肺癌相关差异蛋白.结果 应用DIGE进行分离后,成功获得了蛋白质组分辨率高、重复性好的双向凝胶电泳图谱;Decyder 6.5软件分析获得差异大于2倍的蛋白质点共有72个;质谱鉴定去冗余后确定了12种蛋白质,其中7种与肿瘤相关,分别为酰基辅酶A合成酶家族成员3、抗血小板膜糖蛋白I b特异性抗体、γ-纤维蛋白原、4型血清淀粉样蛋白A、补体因子H、钙结合微丝蛋白、载脂蛋白I.结论 应用DIGE及MALDI-TOF-MS分离并初步鉴定了12种蛋白质,筛选出7种在肺癌患者血浆中高表达的肿瘤相关蛋白.

关 键 词:差异凝胶电泳  蛋白组学  血浆  肺癌

Screening of differentially expressed serum proteins of lung cancer by DIGE and MALDI-TOF MS/MS
SHA Hui-fang,SUN Qiang-ling,YANG Xiao-hua,CHU Tian-qing,XIE Yin-yin,LU Jing,BAO Guo-liang,FENG Jiu-xian,GONG Le-luo. Screening of differentially expressed serum proteins of lung cancer by DIGE and MALDI-TOF MS/MS[J]. Journal of Shanghai Jiaotong University:Medical Science, 2010, 30(4): 399-403
Authors:SHA Hui-fang  SUN Qiang-ling  YANG Xiao-hua  CHU Tian-qing  XIE Yin-yin  LU Jing  BAO Guo-liang  FENG Jiu-xian  GONG Le-luo
Affiliation:1. Basic Research Laboratory, 2. Department of Respiratory Medicine, Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China;3. Institute of Hematology, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200025, China
Abstract:Objective To establish plasma protein spectrum from healthy people, patients with pneumonia and patients with lung cancer, and seek differentially expressed proteins related to early development of lung cancer. Methods Differential gel electrophoresis ( DIGE) and matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry ( MALD1-TOF-MS) were employed to screen differentially expressed plasma proteins among healthy people, patients with pneumonia and patients with stage I lung cancer. Results Two dimensional gel electrophoresis patterns of plasma proteins with high-resolution and reproducibility were successfully obtained using DIGE. Seventy-two significantly differentially expressed protein spots were screened with DeCyder 6.5 software. Twelve proteins were successfully identified via peptide mass print using MALDI-TOF-MS, among which seven proteins were reported to be related to cancer, such as acyl-CoA synthetase family member 3, platelet membrane glycoprotein I b specific antibody, serum amyloid A4, gelsolin, complement factor H, fibrinogen gamma chain and apolipoprotein A- I . Conclusion Twelve proteins can be identified by DIGE and MALDI-TOF-MS, and 7 proteins highly expressed in plasma of patients with lung cancer can be screened.
Keywords:differential gel electrophoresis  proteomics  plasma  lung cancer
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