动力学模型在荧光定量PCR 数据处理中的优势

生物技术通报 ›› 2013, Vol. 0 ›› Issue (2): 157-162.

动力学模型在荧光定量PCR 数据处理中的优势

刘彦礼^1，2 李旭¹ 苏振成¹ 徐明恺¹ 张惠文¹

（1. 中国科学院沈阳应用生态研究所，沈阳 110016; 2. 中国科学院研究生院，北京 100039）

收稿日期:2012-07-09 修回日期:2013-02-27 出版日期:2013-02-26 发布日期:2013-02-27
作者简介:刘彦礼，男，博士，研究方向：分子生物学及免疫学；E-mail ：skywave001@yahoo.com.cn
基金资助:
沈阳市科技计划（F11-264-1-11，F12-152-9-00），国家科技重大专项重大新药创制项目（2012ZX09102301-013）

Advantages of the Dynamic Model in Real-time PCR Data Processing

Liu Yanli^1，2 Li Xu¹ Su Zhencheng¹ Xu Mingkai¹ Zhang Huiwen¹

（1. Institute of Applied Ecology，Chinese Academy of Sciences，Shenyang 110016 ；2. Graduate University of Chinese

Received:2012-07-09 Revised:2013-02-27 Published:2013-02-26 Online:2013-02-27

摘要/Abstract

摘要： 近年来荧光定量PCR 技术凭借其基因定量的优势而得到了广泛应用，上游技术的发展保障了原始数据的精确性，但定量结果的可靠性仍取决于PCR 扩增效率和所采用的数据处理模型，基于不同数学模型对原始数据处理后的结果会有较大差异。试验通过对样品进行5 倍梯度稀释后获得相应梯度的荧光定量PCR 原始数据，并应用2 －△△ Ct 法、相对标准曲线法和动力学模型处理原始数据，所得定量结果（x-±s）依次为1.76±0.70、0.89±0.14 和0.99975±0.06，与理论值1 比较表明，动力学模型在定量结果的可靠性、方便性及经费节约方面都具有良好应用前景。

关键词: 荧光定量PCR 2 －△△ Ct 法, 相对标准曲线法, 动力学模型

Abstract: In recent years, Real-time PCR with its advantages in the quantitation of gene is widely used, the development of equipment ensure the accuracy of raw data, however the reliability of quantitative result highly depends on the PCR efficiency and the mathematical model on which the quantitative methods are based, The quantitative result processed with different mathematical models will be quite different. In this paper, the sample was 5-fold diluted for gaining the raw data of quantitative PCR, and the same raw data was processed by three kinds of mathematical models, including 2 －△△ Ct model, relative standard curve model, dynamic model. And the results demonstrate the dynamic model has a good prospect.

Key words: Quantitative, PCR 2 －△△ Ct model, Relative standard curve model, Dynamic model

刘彦礼, 李旭, 苏振成, 徐明恺, 张惠文. 动力学模型在荧光定量PCR 数据处理中的优势[J]. 生物技术通报, 2013, 0(2): 157-162.

Liu Yanli, Li Xu, Su Zhencheng, Xu Mingkai, Zhang Huiwen. Advantages of the Dynamic Model in Real-time PCR Data Processing[J]. Biotechnology Bulletin, 2013, 0(2): 157-162.

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