Piller Nicolas, Decosterd Isabelle, Suter Marc R
Pain Center, Department of Anesthesiology, University Hospital Center and University of Lausanne, Avenue du Bugnon 46, 1011 Lausanne, Switzerland.
BMC Res Notes. 2013 Jul 10;6:266. doi: 10.1186/1756-0500-6-266.
The reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is a widely used, highly sensitive laboratory technique to rapidly and easily detect, identify and quantify gene expression. Reliable RT-qPCR data necessitates accurate normalization with validated control genes (reference genes) whose expression is constant in all studied conditions. This stability has to be demonstrated.We performed a literature search for studies using quantitative or semi-quantitative PCR in the rat spared nerve injury (SNI) model of neuropathic pain to verify whether any reference genes had previously been validated. We then analyzed the stability over time of 7 commonly used reference genes in the nervous system - specifically in the spinal cord dorsal horn and the dorsal root ganglion (DRG). These were: Actin beta (Actb), Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), ribosomal proteins 18S (18S), L13a (RPL13a) and L29 (RPL29), hypoxanthine phosphoribosyltransferase 1 (HPRT1) and hydroxymethylbilane synthase (HMBS). We compared the candidate genes and established a stability ranking using the geNorm algorithm. Finally, we assessed the number of reference genes necessary for accurate normalization in this neuropathic pain model.
We found GAPDH, HMBS, Actb, HPRT1 and 18S cited as reference genes in literature on studies using the SNI model. Only HPRT1 and 18S had been once previously demonstrated as stable in RT-qPCR arrays. All the genes tested in this study, using the geNorm algorithm, presented gene stability values (M-value) acceptable enough for them to qualify as potential reference genes in both DRG and spinal cord. Using the coefficient of variation, 18S failed the 50% cut-off with a value of 61% in the DRG. The two most stable genes in the dorsal horn were RPL29 and RPL13a; in the DRG they were HPRT1 and Actb. Using a 0.15 cut-off for pairwise variations we found that any pair of stable reference gene was sufficient for the normalization process.
In the rat SNI model, we validated and ranked Actb, RPL29, RPL13a, HMBS, GAPDH, HPRT1 and 18S as good reference genes in the spinal cord. In the DRG, 18S did not fulfill stability criteria. The combination of any two stable reference genes was sufficient to provide an accurate normalization.
逆转录定量实时聚合酶链反应(RT-qPCR)是一种广泛应用的、高度灵敏的实验室技术,可快速、简便地检测、鉴定和定量基因表达。可靠的RT-qPCR数据需要使用经过验证的对照基因(参考基因)进行准确的标准化,这些基因的表达在所有研究条件下均保持恒定。必须证明这种稳定性。我们进行了文献检索,以查找在神经性疼痛的大鼠坐骨神经保留损伤(SNI)模型中使用定量或半定量PCR的研究,以验证此前是否有任何参考基因经过验证。然后,我们分析了7种常用的神经系统参考基因(特别是脊髓背角和背根神经节(DRG))随时间的稳定性。这些基因分别是:β-肌动蛋白(Actb)、甘油醛-3-磷酸脱氢酶(GAPDH)、核糖体蛋白18S(18S)、L13a(RPL13a)和L29(RPL29)、次黄嘌呤磷酸核糖基转移酶1(HPRT1)和羟甲基胆色素原合酶(HMBS)。我们比较了这些候选基因,并使用geNorm算法建立了稳定性排名。最后,我们评估了在该神经性疼痛模型中进行准确标准化所需的参考基因数量。
我们在使用SNI模型的研究文献中发现GAPDH、HMBS、Actb、HPRT1和18S被列为参考基因。此前只有HPRT1和18S在RT-qPCR阵列中被证明是稳定的。在本研究中使用geNorm算法测试的所有基因,其基因稳定性值(M值)足以使其在DRG和脊髓中均有资格作为潜在的参考基因。使用变异系数,18S在DRG中的值为61%,未达到50%的临界值。背角中最稳定的两个基因是RPL29和RPL13a;在DRG中是HPRT1和Actb。使用0.15的成对变异临界值,我们发现任何一对稳定的参考基因都足以进行标准化过程。
在大鼠SNI模型中,我们验证并将Actb、RPL29、RPL13a、HMBS、GAPDH、HPRT1和18S列为脊髓中的良好参考基因。在DRG中,18S不符合稳定性标准。任意两个稳定参考基因的组合足以提供准确的标准化。