钟会清, 张武, 侯雨晴, 苏成康, 刘智明, 姜雪梅, 郭周义, 刘宁湘. 基于拉曼光谱对人舌鳞癌动物模型建立的检测[J]. 华南师范大学学报(自然科学版), 2017, 49(4): 1-4.
引用本文: 钟会清, 张武, 侯雨晴, 苏成康, 刘智明, 姜雪梅, 郭周义, 刘宁湘. 基于拉曼光谱对人舌鳞癌动物模型建立的检测[J]. 华南师范大学学报(自然科学版), 2017, 49(4): 1-4.
Base on Raman spectrometer for the establishment of a carcinogenesis model of human squamous tongue cancer to detect[J]. Journal of South China Normal University (Natural Science Edition), 2017, 49(4): 1-4.
Citation: Base on Raman spectrometer for the establishment of a carcinogenesis model of human squamous tongue cancer to detect[J]. Journal of South China Normal University (Natural Science Edition), 2017, 49(4): 1-4.

基于拉曼光谱对人舌鳞癌动物模型建立的检测

Base on Raman spectrometer for the establishment of a carcinogenesis model of human squamous tongue cancer to detect

  • 摘要: 建立人舌鳞癌细胞体外癌变模型, 采用激光共焦显微拉曼光谱仪对其进行检测,从分子层面对其进行分析. 方法: 通过培养CAL-27细胞,然后注射在裸鼠皮下成瘤,在通过激光共焦显微拉曼光谱仪和HE染色观察其癌变的情况. 结果:①正常皮肤组织的切片图上可见,其细胞层次清晰,整齐,但是肿瘤组织发现上皮异常增生,细胞多形性,结构层次非常不清楚;②采用共焦显微拉曼拉曼光谱技术并结合主成分分析法和线性辨别技术分类健康裸鼠和人舌鳞癌细胞体外癌变组织的拉曼光谱得到灵敏度为98.4%,特异性为95%,诊断率为96.7%,并发现该方法可以很好的对该动物模型进行在体的检测.

     

    Abstract: This study aims to establish a carcinogenesis model of human squamous tongue cancer cell in vitro, and test by laser confocal micro Raman spectrometer, then analyze from the molecular level.MethodsThe CAL-27 cells were cultivated, and injected subcutaneously in nude mice into a tumor, then using laser confocal micro Raman spectrometer and HE staining to observe the canceration.Results①From the normal skin tissue slice, it can be seen that the cellular level is clear and neat. But it can be found that the tumor epithelial dysplasia is cellular pleomorphism and the structure level is not clear.②After laser confocal micro Raman spectrometerobsersving, the principal components analysis(PCA) combination with linear discrimination analysis(LDA) to classify the health nude mice and human tongue squamous cancer cells in vitro tumor tissue. It can be obtained the diagnostic sensitivity of 98.4%,specificity of 95% and accuracies of 96.7%.It was shown that this method is very good for detecting the animal modelin vivo.

     

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