摘要
目的:利用蛋白质芯片和生物信息学方法从无精症患者精浆中筛选标志蛋白质。方法:采用表面增强激光解吸电离飞行时间质谱技术(SELDI-TOF-MS)和IMAC3蛋白质芯片对30例无精症患者精浆和57例健康人精浆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CI-PHERGEN公司的Biomarkerwizard和BiomarkerPatternsSystem软件分析。结果:无精症患者与正常人精浆蛋白质谱相比有16个显著差异蛋白质,其中6个蛋白质在患者精浆中高表达,10个蛋白质在患者精浆中低表达。BiomarkerPatternsSystem软件用16个显著差异蛋白质中的3个标志分子建立无精症诊断的分类树模型。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精浆中筛选出无精症相关的标志蛋白质,而且蛋白质芯片技术对于发现和筛选精浆中的无精症标志蛋白质是一种有效、快速的工具。
Objective To screen seminal plasma protern biomarkers in patients with azoospermatism with surface -enhanced laser desorpfion and ionization time of flight mass spectrometry ( SELDI - TOF - MS) technique. Methods Proteomic spectra of semina plasma were generated with mass spectrometry in 30 cases of azoospermatism and 57 controls and an algorithm for diagnosis was developed. Results A total of 16 distinguished different proteomic peaks were detected in the seminal plasma of the patients. Three peaks, one overexprossed and two underexpressed, were used to build a proteomic pattern algorithm for diagnosis. The results yielded a sensitivity of 86.7% (26/30) and specificity of 96.5 % (55/57). Conclusion SELDI - TOF - MS offers a unique platform for detection of azoospermia with proteomic spectrum. The method is accurate and can be performed rapidly for mass screening.
出处
《放射免疫学杂志》
CAS
2009年第1期89-91,共3页
Journal of Radioimmanology
基金
浙江省台州市科技局资助项目(061KY53)
关键词
芯片分析技术
无精症
蛋白质
microchip analytical procedures, azoospermatism, protein