Abstract
Hypoxia is common in breast tumours and is linked to therapy resistance and advanced disease. To understand hypoxia-driven breast cancer progression, RT-qPCR is a widely used technique to quantify transcriptional changes that occur during malignant transformation. Reference genes (RGs) are endogenous RT-qPCR controls used to normalise mRNA levels, allowing accurate assessment of transcriptional changes. However, hypoxia reprograms transcription and post-transcriptional processing of RNA such that favoured RGs including GAPDH or PGK1 are unsuitable for this purpose. To address the need for robust RGs to study hypoxic breast cancer cell lines, we identified 10 RG candidates by analysing public RNA-seq data of MCF-7 and T-47D (Luminal A), and, MDA-MB-231 and MDA-MB-468 (triple negative breast cancer (TNBC)) cells cultured in normoxia or hypoxia. We used RT-qPCR to determine RG candidate levels in normoxic breast cancer cells, removing TBP and EPAS1 from downstream analysis due to insufficient transcript abundance. Assessing primer efficiency further removed ACTB, CCSER2 and GUSB from consideration. Following culture in normoxia, acute, or chronic hypoxia, we ascertained robust non-variable RGs using RefFinder. Here we present RPLP1 and RPL27 as optimal RGs for our panel of two Luminal A and two TNBC cell lines cultured in normoxia or hypoxia. Our result enables accurate evaluation of gene expression in selected hypoxic breast cancer cell lines and provides an essential resource for assessing the impact of hypoxia on breast cancer progression.