摘要
目的利用蛋白质芯片和生物信息学方法从急性淋巴细胞白血病(ALL)患儿血清中筛选标志蛋白质,为临床提供分子诊断学方法。方法采用表面增强激光解析电离飞行时间质谱技术和弱阳离子交换(WCX2)蛋白质芯片对44例ALL初诊患儿血清和35例健康儿童血清的蛋白质谱图进行检测,使用PBSII-C型蛋白质芯片阅读机读取数据,获得的结果采用Ciphergen公司的Biomarker Wizard和Biomarker Patterns System软件分析。结果ALL初诊患儿与正常儿童血清蛋白质谱相比有7个显著差异蛋白质(P<0.00001),其中3个蛋白质在患儿血清中高表达,4个蛋白质低表达。Biomarker Patterns System软件用上述标志分子建立儿童ALL诊断的分类树模型,检测灵敏度为88.6%(39/44),特异性为82.9%(29/35)。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儿童ALL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ALL标志蛋白质是一种有效、快速的工具。
Objective Acute lymphocyte leukemia is one of the diseases with high incidence and mortality in children. New technologies for the study of acute lymphocyte leukemia proteomics are urgently needed. The aim of this study was to screen serum biomarkers in patients with acute lymphocyte leukemia using surface-enhanced laser desorption and ionization time-of-flight mass spectrometry （SELDI-TOF-MS） technique. Methods Proteomic spectra were generated by mass spectrometry in 79 cases, including 44 cases of pathologically confirmed acute lymphocyte leukemia aged 2 to 14 years, and 35 healthy controls （aged 2 to 13 years）. Seventy-nine spectra obtained were used to train and develop a decision tree classification algorithm. Results A total of 7 distinguished proteomic peaks were detected. All 7 peaks were used to build a proteomic pattern. The results yielded a sensitivity of 88.6% （39/44）,specificity of 82.9% （29/35）. Conclusions SELDI-TOF-MS offers a unique platform for the proteomie detection of childhood acute lymphocyte leukemia. It also offers a noninvasive method for further study of the proteomic changs in the development and progression of leukemia.
出处
《北京医学》
CAS
2007年第5期290-292,共3页
Beijing Medical Journal
