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肺癌是全球发病率和死亡率较高的恶性肿瘤。细胞从正常状态转变为肿瘤的过程中,细胞内蛋白质表达谱必然会发生一系列变化,肿瘤分子标记物就是细胞在非正常状态下产生的分子。以高通量结合生物信息学为特点的蛋白质组学分析技术可以从细胞整体水平上检测到这种变化。近年来,为了降低肺癌的死亡率并提高其治疗效果,研究人员利用这一新的手段如利用激光捕获显微切割技术和双相凝胶电泳结合基质辅助激光解析电离飞行时间质谱(MALD I-TOF MS)和表面增强激光解析电离飞行时间质谱(SELD I-TOF MS)寻找有效的肺癌标记物。本文对蛋白质组学技术在肺癌生物标志物研究中的应用作了综述。
Lung cancer is a worldwide malignancy with high morbidity and mortality. Cells from the normal state into the tumor process, the protein expression in the cell will inevitably occur a series of changes, tumor molecular markers is the cell in the abnormal state of molecules. Proteomics analysis, characterized by high-throughput bioinformatics, detects this change from the cellular level as a whole. In recent years, in order to reduce the mortality rate of lung cancer and improve its therapeutic effect, researchers use this new method, such as laser capture microdissection and duplex gel electrophoresis combined with matrix-assisted laser desorption / ionization time-of-flight mass spectrometry (MALD I- TOF MS) and surface-enhanced laser desorption / ionization time-of-flight mass spectrometry (SELD I-TOF MS). This review summarizes the applications of proteomics in the study of biomarkers of lung cancer.