Identification of robust RT-qPCR reference genes for studying changes in gene expression in response to hypoxia in breast cancer cell lines
Jodie R. MalcolmiD, Katherine S. BridgeiD, Andrew N. HoldingiD, William J. BrackenburyiD
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 quantifies transcriptional changes important for malignant development. 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, T-47D, MDA-MB-231 and MDA-MB-468 cells cultured in normoxia or hypoxia. RT-qPCR determined 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, or acute or chronic hypoxia, we ascertained robust non-variable RGs using RefFinder. Here we present RPLP1 and RPL27 as optimal RGs for breast cancer cell lines cultured in normoxia or hypoxia. Our result enables accurate evaluation of gene expression in hypoxic breast cancer cell lines and provides an essential resource for assessing hypoxias impact in breast cancer progression. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/606329v2_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@188a16forg.highwire.dtl.DTLVardef@11eb9aborg.highwire.dtl.DTLVardef@2f914eorg.highwire.dtl.DTLVardef@ecad85_HPS_FORMAT_FIGEXP M_FIG C_FIG
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 4
- FWCI
- 0.96
- Field percentile
- top 32%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Methodological considerations on selection of stable reference genes for RT-qPCR in the neonatal rat brain in hypoxia and hypothermia
M. Bustelo, M. Bruno, … D. van den Hove·bioRxiv·Oct 4, 2019
- Analysis of housekeeping genes in the peripheral blood of retinoblastoma patients
M. Martinez-Sanchez, J. Hernandez-Monge, … V. Olivares-Ilana·bioRxiv·Jul 4, 2019
- Oscillatory Hypoxia Induced Unfolded Protein Folding Response Gene Expression Predicts Low Survival in Human Breast Cancer Patients
Yasir Suhail, Yamin Liu, … Kshitiz Gupta·Molecular CarcinogenesisPeer-reviewed·Aug 16, 2024
- Expression-based analyses indicate a central role for hypoxia in driving tumor plasticity through microenvironment remodeling and chromosomal instability
A. Jing, F. S. Vizeacoumar, … F. J. Vizeacoumar·bioRxiv·May 29, 2018
- RadiationGeneSigDB: A database of oxic and hypoxic radiation response gene signatures and their utility in identification of hypoxia-regulated MicroRNA
Venkata SK. Manem, Andrew Dhawan·British Journal of RadiologyPeer-reviewed·Sep 20, 2019
- Hypoxia reduces induced LRIG1 protein despite sustained mRNA induction in colorectal cancer organoids
Akari Minamiura, Shuto Aoki, … Jumpei Kondo·bioRxiv·Oct 20, 2026