Huang Yan-Ping, Liu Zhao-Sheng, Tang Hua, Liu Min, Li Xin
Tianjin Life Science Research Center, Tianjin Medical University, Tianjin 300070, PR China.
Clin Chim Acta. 2006 Oct;372(1-2):112-9. doi: 10.1016/j.cca.2006.03.028. Epub 2006 Mar 29.
Real-time quantitative TRAP assays for detection of telomerase activity have been recently developed to eliminate complex post-PCR procedures. However, all of them use the conventional TRAP assay that possesses an unpredictable cascade of events in PCR amplification caused by stagger annealing, which may affect the accuracy of quantitation.
A novel RTQ-TRAP method was developed by combining the duplex scorpion with modified TP-TRAP assay that has high fidelity PCR amplification of the telomerase product (DS/TP-TRAP). The synthesized oligonucleotide that represents telomerase products is used to set up a standard curve.
The DS/TP-TRAP method gives the standard curve a dynamic range of 6 orders of magnitude (R(2)=0.9992). It optimizes PCR amplification efficiency and determines telomerase activity in a lower threshold cycle number (Ct value). The method is both accurate and reproducible to measure telomerase activity in human tumor cell lines, and linearity from 1 to 1000 cells could be obtained (R(2)=0.9926). For tumor samples, the results determined by the DS/TP-TRAP assay are comparable to the data obtained with the conventional TRAP method.
The DS/TP-TRAP assay provides a high sensitive and accurate method for real-time quantitative detection of telomerase activity. It is thus a potential robust tool for application in cancer molecular diagnostics.
用于检测端粒酶活性的实时定量TRAP分析方法最近已被开发出来,以消除复杂的PCR后程序。然而,所有这些方法都使用传统的TRAP分析,该分析在PCR扩增中由于交错退火会导致不可预测的一系列事件,这可能会影响定量的准确性。
通过将双链蝎子引物与具有端粒酶产物高保真PCR扩增的改良TP-TRAP分析相结合,开发了一种新型的RTQ-TRAP方法(DS/TP-TRAP)。用代表端粒酶产物的合成寡核苷酸建立标准曲线。
DS/TP-TRAP方法使标准曲线的动态范围达到6个数量级(R(2)=0.9992)。它优化了PCR扩增效率,并在较低的阈值循环数(Ct值)下测定端粒酶活性。该方法在测量人肿瘤细胞系中的端粒酶活性时既准确又可重复,并且可以获得1到1000个细胞的线性关系(R(2)=0.9926)。对于肿瘤样本,DS/TP-TRAP分析测定的结果与传统TRAP方法获得的数据相当。
DS/TP-TRAP分析为端粒酶活性的实时定量检测提供了一种高灵敏度和准确的方法。因此,它是一种潜在的强大工具,可应用于癌症分子诊断。