Majidzadeh-A Keivan, Esmaeili Rezvan, Abdoli Nasrin
Iranian Center for Breast Cancer (ICBC); Academic Center for Education, Culture and Research (ACECR) No 45, Nazari St, Aboureihan St, Enghelab Ave, Tehran, Iran.
BMC Res Notes. 2011 Jun 25;4:215. doi: 10.1186/1756-0500-4-215.
Biomedical researchers have long looked for ways to diagnose and treat cancer patients at the early stages through biomarkers. Although conventional techniques are routinely applied in the detection of biomarkers, attitudes towards using Real-Time PCR techniques in detection of many biomarkers are increasing. Normalization of quantitative Real-Time PCR is necessary to validate non-biological alteration occurring during the steps of RNA quantification. Selection of variably expressed housekeeping genes (HKs) will affect the validity of the data. The aim of the present study was to identify uniformly expressed housekeeping genes in order to use in the breast cancer gene expression studies. Urokinase Plasminogen Activator was used as a gene of interest.
The expression of six HKs (TFRC, GUSB, GAPDH, ACTB, HPRT1 and RPLP0) was investigated using geNorm and NormFinder softwares in forty breast tumor, four normal and eight adjacent tissues. RPLP0 and GAPDH revealed maximum M value, while TFRC demonstrated lowest M value.
In the present study the most and the least stable genes were TFRC and RPLP0 respectively. TFRC and ACTB were verified as the best combination of two genes for breast cancer quantification. The result of this study shows that in each gene expression analysis HKs selection should be done based on experiment conditions.
长期以来,生物医学研究人员一直在寻找通过生物标志物在癌症早期阶段诊断和治疗癌症患者的方法。尽管传统技术在生物标志物检测中经常应用,但在许多生物标志物检测中使用实时定量聚合酶链反应(Real-Time PCR)技术的趋势也在增加。对定量实时PCR进行标准化对于验证RNA定量步骤中发生的非生物学改变是必要的。选择表达可变的看家基因(HKs)会影响数据的有效性。本研究的目的是鉴定在乳腺癌基因表达研究中使用的均匀表达的看家基因。尿激酶型纤溶酶原激活剂用作感兴趣的基因。
使用geNorm和NormFinder软件在40个乳腺肿瘤、4个正常组织和8个相邻组织中研究了6个看家基因(TFRC、GUSB、GAPDH、ACTB、HPRT1和RPLP0)的表达。RPLP0和GAPDH显示出最大的M值,而TFRC显示出最低的M值。
在本研究中,最稳定和最不稳定的基因分别是TFRC和RPLP0。TFRC和ACTB被证实是用于乳腺癌定量的两个基因的最佳组合。本研究结果表明,在每个基因表达分析中,应根据实验条件选择看家基因。