骨肉瘤与正常骨组织的蛋白质组学分析  

Research for Proteomics Discrepancies between Osteosarcoma and Normal Bone Tissue

作　　者：卿海辉[1] 贺茂林[1] 葛洪亮[1] 王哲[1] 

机构地区：[1]广西医科大学第一附属医院脊柱骨病外科,南宁530021

出　　处：《肿瘤防治研究》2013年第1期79-82,共4页Cancer Research on Prevention and Treatment

基　　金：广西科技厅科学研究与技术开发资助项目(桂科攻1140003A-14)

摘　　要：目的比较骨肉瘤与正常骨组织蛋白质组学的差异,探寻骨肉瘤特异性标志物。方法分别提取5例骨肉瘤肿瘤标本和5例正常骨组织总蛋白,进行双向电泳,重复3次;银染、扫描后进行Im-ageMaster 2-DE Platinum 6.0软件分析以发现差异蛋白并对差异蛋白质点进行MALDI-TOF/TOF质谱鉴定,获取肽质指纹图谱后应用NCBI数据库查找匹配蛋白质。结果获得重复性较好的双向电泳银染图谱,骨肉瘤组织蛋白质点数约为(1 296±179),正常骨组织蛋白质点数约为(1 108±162),明显差异的蛋白质点25个,其中10个被成功鉴定,6个蛋白质在骨肉瘤中表达上调,以谷胱甘肽转移酶升高最为突出;4个蛋白质在骨肉瘤中表达下降,以核苷二磷酸激酶下降最明显。结论蛋白质组学的分析能成功发现骨肉瘤与正常骨组织之间的差异蛋白质,为寻找骨肉瘤特异标志物提供依据。Objective To compare the proteomics discrepancies between osteosarcomas and normal tissue of bone for discovering specific markers for osteosarcoma. Methods Total protein was extracted from five samples of osteosarcoma and five samples of normal bone, respectively. Then dielectrophoresis was con- ducted three times, repeatedly. The differential proteins were found out by ImageMaster 2 DE software a- nalysis after silver staining and scanning. Then, MALDI-TOF/TOF mass spectrometric identification of differential protein spots was conducted. Get access to the peptide mass fingerprints and query to find out matching proteins in the NCBI database. Results Dielectrophoresis silver staining map had good repeat ability. Protein spots of osteosarcomas and normal bone were approximately（1 296 ± 179） ,（1 108 ± 162）, respectively,and 25 significant different proteins were discovered,of which 10 spots were identified suc cessfully. Six proteins were significantly up-regulated in osteosarcom, especially the level of glutathiones transferases（GST）. Four down - regulated proteins were observed, especially the level of nucleoside diphosphate kinase（NDPK）. Conclusion The different proteins between osteosarcoma and normal tissue can be found by proteomics analysis which provide the basis for searching the specific marker for osteo- sarcoma.

关 键 词：骨肉瘤 蛋白质组学 双向凝胶电泳 MALDI串联飞行时间质谱 

分 类 号：R738.1[医药卫生—肿瘤]