摘要
目的:利用蛋白质芯片和生物信息学方法从急性髓性白血病患者血清中筛选标志蛋白质。方法:采用表面增强激光解吸电离飞行时间质谱技术(surfaced enhanced laser desorption/ion ization tim e of flightm ass spectros-copy)和弱阳离子交换(WCX2)蛋白质芯片对30例急性髓性白血病患者血清和57例健康人血清的蛋白质谱图进行了检测,使用PBSII-C型蛋白质芯片阅读机读取数据,获得的结果采用c iphergen公司的B iom arker w izard和B io-m arker Patterns System软件分析。结果:急性髓性白血病患者与正常人血清蛋白质谱相比有8个显著差异蛋白质,其中1个蛋白质在患者血清中高表达,7个蛋白质在患者血清中低表达。B iom arker Patterns System软件用8个显著差异蛋白质中的7个标志分子建立急性髓性白血病诊断的分类树模型。检测灵敏度为86.7%(26/30)、特异性为96.5%(55/57)。结论:实验证明利用蛋白质组学和生物信息学方法可以从血清中筛选出急性髓性白血病相关的标志蛋白质,而且蛋白质芯片技术对于发现和筛选血清中的急性髓性白血病标志蛋白质是一种有效、快速的工具。
Objective： acute myeloid leukemia is one of the diseases with higher mortality. New technologies for the study of acute myeloid leukemia proteomic are urgently needed. The aim of this study was to screen serum biomarkers in patients with acute myeloid leukemia by using surface-enhanced laser desorption and ionization time-of-flight mass spectrometry （SELDI-TOFMS） technique. Methods： Proteomic spectra were generated by mass spectrometry in 87 cases, including 30 cases of acute myeloid leukemia that had been pathologically confirmed with 5 to 78 years, and 57 cases of healthy control aged 5 to 75 years. 87 spectra obtained were used to train and develop a decision tree classification algorithm. Results： A total of 8 distinguished proteomic peaks were detected, 7 peaks were used to build a proteomic pattern. The results yielded a sensitivity of 86.7% （26/30）, specificity of 96.5 % （55/57）. Conelusion：SELDI-TOF-MS offers a unique platform for the proteomic detection of acute myeloid leukemia. It also offers a noninvasive method to further study the proteomic changes in the development and progression of leukemia.
出处
《军医进修学院学报》
CAS
北大核心
2006年第5期355-357,共3页
Academic Journal of Pla Postgraduate Medical School
关键词
芯片分析技术
白血病
粒细胞
急性
microchip analytical procedures
lewkemia, myeloid, acute
