Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Shanghai Jiao-Tong University School of Medicine, Shanghai 200031, China.
Anal Biochem. 2010 Jun 1;401(1):81-90. doi: 10.1016/j.ab.2010.02.007. Epub 2010 Feb 11.
Quantitative real-time reverse transcription-polymerase chain reaction (Q-PCR) has become an indispensable technique for accurate determination of gene expression in various samples. In mice, intravenous injection of concanavalin A (ConA) leads to acute hepatitis and liver injury. Functional studies based on this model have provided insights for understanding the mechanisms of liver injury. However, no data have been reported to validate reference genes during the progression of ConA-induced hepatitis (CIH). In this study, IkappaBalpha and C/EBPbeta messenger RNA (mRNA) levels were examined using Q-PCR with ACTB as the reference gene after ConA injection. However, we got inconsistent results with previous reports determining IkappaBalpha and C/EBPbeta mRNA expression levels. The results indicate the necessity for stability analysis of candidate reference genes in the CIH model. geNorm, NormFinder, and BestKeeper software analysis indicates that ACTB is the most unstable gene during CIH progression among the 10 reference genes tested, whereas RPLP0 or HPRT1 is the most stable one. This study demonstrates that some of the commonly used reference genes are inadequate for normalization of Q-PCR data due to their expression instability. Furthermore, this study validates HPRT1 and RPLP0 as appropriate reference genes for Q-PCR analysis in the CIH model.
实时荧光定量逆转录聚合酶链反应(Q-PCR)已成为准确测定各种样本中基因表达的不可或缺的技术。在小鼠中,静脉注射刀豆蛋白 A(ConA)可导致急性肝炎和肝损伤。基于该模型的功能研究为理解肝损伤机制提供了深入的见解。然而,在 ConA 诱导的肝炎(CIH)进展过程中,尚未有数据报道验证参考基因。在这项研究中,使用 Q-PCR 以 ACTB 作为参考基因,检测 IkappaBalpha 和 C/EBPbeta 信使 RNA(mRNA)水平在 ConA 注射后的表达。然而,我们得到的结果与之前报道的确定 IkappaBalpha 和 C/EBPbeta mRNA 表达水平的结果不一致。结果表明,在 CIH 模型中,对候选参考基因进行稳定性分析是必要的。GeNorm、NormFinder 和 BestKeeper 软件分析表明,在测试的 10 个参考基因中,ACTB 是 CIH 进展过程中最不稳定的基因,而 RPLP0 或 HPRT1 是最稳定的基因。本研究表明,由于其表达不稳定,一些常用的参考基因不适合用于 Q-PCR 数据的归一化。此外,本研究验证了 HPRT1 和 RPLP0 是 CIH 模型中 Q-PCR 分析的合适参考基因。