化学计量学方法在抗肿瘤活性成分筛选中的应用
本文关键词: 多元线性回归模型 抗肿瘤活性成分 纤维堆囊菌 筛选 出处:《吉林大学》2010年硕士论文 论文类型:学位论文
【摘要】: 粘细菌可产生丰富的次级代谢产物,其代谢产物的化学结构和生物活性作用机制的多样性可以与著名的链霉菌类群相媲美,埃博霉素是人们最为熟知的代谢产物之一,但这些代谢产物产量一般较低且产量不稳定,进行逐个分离纯化和活性的测定非常困难。化学计量学是将统计学、数学和计算机科学综合应用在化学分析领域的新兴学科,本文将这种方法用于纤维堆囊菌次级代谢中活性成分的初步筛选中。具体方法是收集不同发酵条件和利用不同发酵培养基的纤维堆囊菌发酵液,提取其次级代谢物粗提液样品,分别测定样品的抗人鼻咽癌肿瘤细胞CNE活性、抗舌磷癌细胞Tca-8113活性和抗人乳腺导管ZR-75-1活性,同时采用高效液相色谱法(HPLC)测定样品中各组分,采用化学计量学方法中的多元线性回归方法建立样品中各组HPLC分峰面积分别与其抗人鼻咽癌肿瘤细胞CNE活性、抗舌磷癌细胞Tca-8113活性和抗人乳腺导管ZR-75-1活性间的相关模型,并采用t检验方法,检验各模型中各项系数的显著性,以筛选显著影响样品抗人鼻咽癌肿瘤细胞CNE活性、抗舌磷癌细胞Tca-8113活性和抗人乳腺导管ZR-75-1活性的HPLC峰所对应的组分,为纤维堆囊菌活性次级代谢产物的抗肿瘤活性成分的筛选提供了理论依据。
[Abstract]:Myxobacteria can produce abundant secondary metabolites, and their chemical structure and biological activity mechanism can be compared with those of the famous Streptomyces, and Ebomycin is one of the most well-known metabolites. However, the yield of these metabolites is generally low and the yield is unstable, so it is very difficult to separate, purify and determine the activity one by one. Chemometrics is an emerging discipline that integrates statistics, mathematics and computer science into the field of chemical analysis. In this paper, this method was applied to the screening of active components in the secondary metabolism of Cystis cellulosae. The specific method was to collect the fermentation broth with different fermentation conditions and different fermentation media, and to extract samples from the crude extracts of secondary metabolites. The CNE activity, Tca-8113 activity and ZR-75-1 activity of anti-human nasopharyngeal carcinoma (NPC) tumor cells, anti-tongue phosphorous cancer cells and human breast ducts were determined by HPLC, respectively, and each component of the samples was determined by high performance liquid chromatography (HPLC). The multivariate linear regression method in chemometrics was used to establish a model of correlation between peak area of HPLC and CNE activity, Tca-8113 activity and ZR-75-1 activity of human mammary duct in human nasopharyngeal carcinoma cell line. T test method was used to test the significance of the coefficients in each model, in order to screen the components corresponding to the HPLC peak, which significantly affected the CNE activity, the Tca-8113 activity and the ZR-75-1 activity of the tumor cells of human nasopharyngeal carcinoma (NPC), the anti-tongue phosphorous cancer cells and the anti-human mammary duct ZR-75-1. It provides a theoretical basis for the screening of anti-tumor active components of the secondary metabolites of cystobacterium fibrillaris.
【学位授予单位】:吉林大学
【学位级别】:硕士
【学位授予年份】:2010
【分类号】:R739.63
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