Röglin Antonia, Böger Rainer, Kleinsang Fiona, Hannemann Juliane
Institute of Clinical Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
J Cancer Res Clin Oncol. 2025 Mar 26;151(3):122. doi: 10.1007/s00432-025-06165-2.
Quantitative real-time PCR (qRT-PCR) represents a robust methodology to investigate alterations in gene expression patterns during tumorigenesis. The quantification of target gene expression is conventionally standardized through normalization against a stably expressed reference gene. However, the expression profile of a specific reference gene can exhibit variability across different tissue types and diverse physiological conditions. This study aimed to identify a suitable reference gene from a pool of ten potential candidates for the comparison of gene expression profiles between six human breast cell lines, comprising both normal breast (MCF-12A) and breast cancer cells (MCF-7, BT-474, SK-BR-3, MDA-MB-468, MDA-MB-231).
Four different mathematical approaches were used to calculate the stability of reference gene expression (comparative ΔCt method, NormFinder, coefficient of variation and RefFinder).
Stability analysis identified ACTB as a suitable reference gene across all cell lines. As we are specifically interested in studying metabolic adaptation of breast cancer, we applied the same approach to identify a suitable reference gene also after maintaining the cell lines in L-arginine-deficient medium for up to 72 h. The stability ranking of reference genes fluctuated after L-arginine was depleted.
In the context of investigating specific cell lines under certain conditions, we propose the identification of reference genes that exhibit optimal stability and suitability.
定量实时聚合酶链反应(qRT-PCR)是一种用于研究肿瘤发生过程中基因表达模式变化的可靠方法。目标基因表达的定量通常通过与稳定表达的参考基因进行标准化来实现。然而,特定参考基因的表达谱在不同组织类型和多种生理条件下可能会表现出变异性。本研究旨在从十个潜在候选基因中鉴定出一个合适的参考基因,用于比较六种人乳腺细胞系之间的基因表达谱,这六种细胞系包括正常乳腺细胞(MCF-12A)和乳腺癌细胞(MCF-7、BT-474、SK-BR-3、MDA-MB-468、MDA-MB-231)。
使用四种不同的数学方法来计算参考基因表达的稳定性(比较ΔCt法、NormFinder、变异系数和RefFinder)。
稳定性分析确定ACTB是所有细胞系中合适的参考基因。由于我们特别感兴趣于研究乳腺癌的代谢适应性,我们在将细胞系维持在缺乏L-精氨酸的培养基中长达72小时后,也应用相同的方法来鉴定合适的参考基因。在L-精氨酸耗尽后,参考基因的稳定性排名发生了波动。
在研究特定条件下的特定细胞系时,我们建议鉴定出表现出最佳稳定性和适用性的参考基因。