论文部分内容阅读
目的 越来越多的资料表明肿瘤是一类细胞周期性疾病 ,从而使得细胞周期分析在细胞生物学 ,肿瘤生物学领域显得格外重要。迄今为止 ,有很多方法应用于细胞周期分析中 ,但这些方法因为这样或者那样的缺点已无法适应今天的细胞周期分析。本研究的目的是建立一种新的 ,更为合理的细胞周期分析方法。方法 将cyclinE以及cyclinA的单克隆抗体按一定的比例混合后与固定了的MOLT 4细胞孵育 ,后用流式细胞仪检测。结果 我们发明的CyclinE +A/DNA多参数流式细胞术能将细胞分为六个细胞群体 :G0 、早G1、晚G1、S、G2 、M期细胞。而在DNA含量直方图仅能区分三个细胞群体 :G0 /G1、S、G2 /M期细胞。结论 CyclinE +A/DNA多参数流式细胞术能同时在同一样本中将细胞分为六个细胞群体 :G0 、早G1、晚G1、S、G2 、M期细胞。其对细胞周期分析明显优于目前采用的细胞周期分析方法 ,并且有明显的生物学基础。
Purpose More and more data suggest that tumors are a type of cell-cycle disease that makes cell cycle analysis particularly important in the fields of cell biology and oncology. So far, many methods have been applied in cell cycle analysis, but these methods have not been able to adapt to the current cell cycle analysis because of one way or another. The purpose of this study is to establish a new and more reasonable method of cell cycle analysis. Methods The monoclonal antibodies of cyclinE and cyclinA were mixed with fixed MOLT 4 cells according to a certain ratio and then detected by flow cytometry. Results We found that CyclinE + A / DNA multiparameter flow cytometry can divide cells into six cell populations: G0, early G1, late G1, S, G2 and M phases. The DNA content histogram can only distinguish three cell populations: G0 / G1, S, G2 / M phase cells. Conclusions CyclinE + A / DNA multiparameter flow cytometry can divide the cells into six cell populations in the same sample at the same time: G0, G1, S1, G2, M phases. It is significantly superior to the currently used cell cycle assays for cell cycle analysis and has a clear biological basis.