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应用SELDI质谱技术筛选胰腺癌患者的血清标志蛋白
引用本文:马宁,葛春林,栾凤鸣,胡朝军,李宁,刘永锋.应用SELDI质谱技术筛选胰腺癌患者的血清标志蛋白[J].中国普通外科杂志,2008,17(3):10-245.
作者姓名:马宁  葛春林  栾凤鸣  胡朝军  李宁  刘永锋
作者单位:1. 中国医科大学附属第一医院,普通外科教研室肝胆外科,辽宁,沈阳,110001
2. 中国医学科学院中国协和医科大学北京协和医院,检验科,北京,100730
摘    要:目的:探讨应用SELDI质谱技术对胰腺癌患者血清中特异性标志蛋白的筛选方法。方法:采用表面增强激光解析/离子化飞行时间质谱(SELDI-TOF-MS)技术,选择WCX磁珠及蛋白芯片阅读机对胰腺癌及健康人(对照组)和胰腺良性疾病组的血清进行检测,以筛选胰腺癌患者血清中特异表达差异蛋白。结果:发现胰腺癌血清表达差异的潜在标志物(蛋白)4个,相对分子质量分别为5 705 Da,4 935 Da,5 318 Da和3243 Da,其中4 935 Da,3 243 Da差异表达蛋白质在对照组中低表达,而在胰腺癌组中高表达,5 705 Da和5 318 Da差异表达蛋白质在胰腺癌组中低表达而对照组中高表达。结论:应用SELDI技术筛选胰腺癌患者血清中的特异性生物标记物的方法快速、有效;检测到的4个差异蛋白质可能是胰腺癌患者血清特异性生物标记物。

关 键 词:胰腺肿瘤  蛋白质组学  SELDI技术  生物标记物  应用  SELDI  质谱技术  筛选  胰腺  癌患者  血清特异性  标志蛋白  technology  cancer  patients  serum  biomarkers  specific  差异蛋白质  快速  生物标记物  差异表达  相对分子质量  标志物  表达差异蛋白
文章编号:1005-6947(2008)03-0242-04
收稿时间:1900/1/1 0:00:00
修稿时间:2007年11月1日

A screening for specific biomarkers in serum of pancreatic cancer patients by SELDI technology
MA Ning,GE Chunlin,LUAN Fengming,HU Chaojun,LI Ning,LIU Yongfeng.A screening for specific biomarkers in serum of pancreatic cancer patients by SELDI technology [J].Chinese Journal of General Surgery,2008,17(3):10-245.
Authors:MA Ning  GE Chunlin  LUAN Fengming  HU Chaojun  LI Ning  LIU Yongfeng
Institution:(1.Department of General Surgery, the First Affiliated Hospital,China Medical Uninversity, Shenyang 110001, China;2. Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China)
Abstract:Abstract:Objective:To explore the methode to screen for relatively specific markers in serum of pancreatic cancer patients using surface-enhanced laser desorption and ionization time of fight mass spectrometry(SELDI-TOF-MS).Methods :Serum samples from 20 pancreatic cancer patiants,20 healthy volunteers and 18 patients with other pancreatic diseases were examined. WCX magnetic beans and PBSⅡ-C protein chips reader (ciphergen Biosystems Ins.) were used to detect the protein fingerprint expression of all the serum samples, and the resulting profiles were analyzed with Biomarker Wizard system.Results:Four differently expressed potential biomarkers were identified with the relative molecular weights of 5 705Da,4 935Da,5 318Da and 3 243Da respectively. Compared with control group, two proteins with m/z 5 705Da and 5 318Da were down-regulated, and two proteins with m/z 4 935Da and 3 243Da were up-regulated in pancreatic cancers.Conclusions:SELDI technology is a quick, easy and practical method to screen for specific biomarkers in serum of patients with pancreatic cancer. Four different proteins identified in this study may be as specific serum biomarkers of pancreatic cancer.
Keywords:Pancreatic Neoplasms  Proteomic  SELDI Technology  Biological Markers
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