Abstract
Purpose
Housekeeping genes (HKGs), reference or endogenous control genes, are vital to normalize mRNA levels between different samples. Since using inappropriate HKGs can lead to unreliable results, selecting the proper ones is critical for gene expression studies. To this end, normal human ovaries, as well as those from patients diagnosed with ovarian endometrioid adenocarcinoma (OEA), ovarian mucinous adenocarcinoma (OMA), ovarian serous papillary carcinoma (OSPC), and polycystic ovary syndrome (PCOS), were used to identify the most suitable housekeeping genes.
Methods
RNA was isolated from 5 normal human ovaries (52–79 years of age), 9 cancerous ovaries (3 OEA, 3 OMA, 3 OSPC; 49–75 years of age), and 4 PCOS ovaries (18–35 years of age) in women undergoing hysterectomy. cDNA was synthesized using a whole transcriptome kit, and quantitative real-time PCR was performed using TaqMan array 96-well plates containing 32 human endogenous controls in triplicate.
Results
Among 32 HKGs studied, RPS17, RPL37A, PPIA, 18srRNA, B2M, RPLP0, RPLP30, HPRT1, POP4, CDKN1B, and ELF1 were selected as the best reference genes.
Conclusions
This study confirms recent investigations demonstrating that conventional HKGs, such as GAPDH and beta-actin, are not suitable reference genes for specific pathological conditions, emphasizing the importance of determining the best HKGs on a case-by-case basis and according to tissue type. Our results have identified reliable HKGs for studies of normal human ovaries and those affected by OEA, OMA, OSPC, or PCOS, as well as combined studies of control subjects vs. each cancer or PCOS group.
Similar content being viewed by others
References
Matys V, Fricke E, Geffers R, Gössling E, Haubrock M, Hehl R, et al. TRANSFAC®: transcriptional regulation, from patterns to profiles. Nucleic Acids Res. 2003;31(1):374–8.
Almeida TA, Quispe-Ricalde A, Montes de Oca F, Foronda P, Hernández MM. A high-throughput open-array qPCR gene panel to identify housekeeping genes suitable for myometrium and leiomyoma expression analysis. Gynecol Oncol. 2014;134(1):138–43.
Vandesompele J, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002;3(7):research0034. 1.
Hendriks-Balk MC, Michel MC, Alewijnse AE. Pitfalls in the normalization of real-time polymerase chain reaction data. Basic Res Cardiol. 2007;102(3):195–7.
Rocha-Martins M, Njaine B, Silveira MS. Avoiding pitfalls of internal controls: validation of reference genes for analysis by qRT-PCR and Western blot throughout rat retinal development. PLoS One. 2012;7(8):e43028.
Thellin O, Zorzi W, Lakaye B, de Borman B, Coumans B, Hennen G, et al. Housekeeping genes as internal standards: use and limits. J Biotechnol. 1999;75(2–3):291–5.
Guénin S, et al. Normalization of qRT-PCR data: the necessity of adopting a systematic, experimental conditions-specific, validation of references. J Exp Bot. 2009;60(2):487–93.
Selvey S, Thompson EW, Matthaei K, Lea RA, Irving MG, Griffiths LR. β-Actin—an unsuitable internal control for RT-PCR. Mol Cell Probes. 2001;15(5):307–11.
Ruan W, Lai M. Actin, a reliable marker of internal control? Clin Chim Acta. 2007;385(1–2):1–5.
Caradec J, et al. ‘Desperate house genes’: the dramatic example of hypoxia. Br J Cancer. 2010;102(6):1037.
Caradec J, Sirab N, Revaud D, Keumeugni C, Loric S. Is GAPDH a relevant housekeeping gene for normalisation in colorectal cancer experiments? Br J Cancer. 2010;103(9):1475–6.
Mansur NR, Meyer-Siegler K, Wurzer JC, Sirover MA. Cell cycle regulation of the glyceraldehyde3phosphate dehydrogenaseluracil DNA glycosylase gene in normal human cells. Nucleic Acids Res. 1993;21(4):993–8.
Vilà MR, et al. Increased glyceraldehyde-3-phosphate dehydrogenase expression in renal cell carcinoma identified by RNA-based, arbitrarily primed polymerase chain reaction. Cancer. 2000;89(1):152–64.
Andersen CL, Jensen JL, Ørntoft TF. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 2004;64(15):5245–50.
Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP. Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper–excel-based tool using pair-wise correlations. Biotechnol Lett. 2004;26(6):509–15.
Risch HA. Hormonal etiology of epithelial ovarian cancer, with a hypothesis concerning the role of androgens and progesterone. J Natl Cancer Inst (JNCI). 1998;90(23):1774–86.
Jiao J, Sagnelli M, Shi B, Fang Y, Shen Z, Tang T, et al. Genetic and epigenetic characteristics in ovarian tissues from polycystic ovary syndrome patients with irregular menstruation resemble those of ovarian cancer. BMC Endocr Disord. 2019;19(1):30.
Dupasquier S, Delmarcelle AS, Marbaix E, Cosyns JP, Courtoy PJ, Pierreux CE. Validation of housekeeping gene and impact on normalized gene expression in clear cell renal cell carcinoma: critical reassessment of YBX3/ZONAB/CSDA expression. BMC Mol Biol. 2014;15(1):9.
Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, et al. The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments. Clin Chem. 2009;55(4):611–22.
Ayakannu T, Taylor AH, Willets JM, Brown L, Lambert DG, McDonald J, et al. Validation of endogenous control reference genes for normalizing gene expression studies in endometrial carcinoma. Mol Hum Reprod. 2015;21(9):723–35.
Pabinger S, Rödiger S, Kriegner A, Vierlinger K, Weinhäusel A. A survey of tools for the analysis of quantitative PCR (qPCR) data. Biomol Detect Quantif. 2014;1(1):23–33.
Hellemans J, Mortier G, de Paepe A, Speleman F, Vandesompele J. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biol. 2007;8(2):R19.
Gachon C, Mingam A, Charrier B. Real-time PCR: what relevance to plant studies? J Exp Bot. 2004;55(402):1445–54.
Kozera B, Rapacz M. Reference genes in real-time PCR. J Appl Genet. 2013;54(4):391–406.
Rebouças EL, et al. Real time PCR and importance of housekeepings genes for normalization and quantification of mRNA expression in different tissues. Braz Arch Biol Technol. 2013;56(1):143–54.
Suzuki T, Higgins PJ, Crawford DR. Control selection for RNA quantitation. Biotechniques. 2000;29(2):332–7.
Radonić A, Thulke S, Mackay IM, Landt O, Siegert W, Nitsche A. Guideline to reference gene selection for quantitative real-time PCR. Biochem Biophys Res Commun. 2004;313(4):856–62.
Sinn BV, Darb-Esfahani S, Wirtz RM, Faggad A, Weichert W, Buckendahl AC, et al. Vascular endothelial growth factor C mRNA expression is a prognostic factor in epithelial ovarian cancer as detected by kinetic RT-PCR in formalin-fixed paraffin-embedded tissue. Virchows Arch. 2009;455(6):461–7.
Li Y-L, Ye F, Hu Y, Lu WG, Xie X. Identification of suitable reference genes for gene expression studies of human serous ovarian cancer by real-time polymerase chain reaction. Anal Biochem. 2009;394(1):110–6.
Nikishin DA, Filatov MA, Kiseleva MV, Bagaeva TS, Konduktorova VV, Khramova YV, et al. Selection of stable expressed reference genes in native and vitrified/thawed human ovarian tissue for analysis by qRT-PCR and Western blot. J Assist Reprod Genet. 2018;35(10):1851–60.
Sharan R, et al. Consensus reference gene (s) for gene expression studies in human cancers: end of the tunnel visible? Cell Oncol. 2015;38(6):419–31.
Borkowska P, Zielińska A, Paul-Samojedny M, Stojko R, Kowalski J. Evaluation of reference genes for quantitative real-time PCR in Wharton’s jelly-derived mesenchymal stem cells after lentiviral transduction and differentiation. Mol Biol Rep. 2020;47(2):1107–15.
Shen Y, Li Y, Ye F, Wang F, Lu W, Xie X. Identification of suitable reference genes for measurement of gene expression in human cervical tissues. Anal Biochem. 2010;405(2):224–9.
Fu J, Bian L, Zhao L, Dong Z, Gao X, Luan H, et al. Identification of genes for normalization of quantitative real-time PCR data in ovarian tissues. Acta Biochim Biophys Sin. 2010;42(8):568–74.
Ofinran O, Bose U, Hay D, Abdul S, Tufatelli C, Khan R. Selection of suitable reference genes for gene expression studies in normal human ovarian tissues, borderline ovarian tumours and ovarian cancer. Mol Med Rep. 2016;14(6):5725–31.
Kolkova Z, Arakelyan A, Casslén B, Hansson S, Kriegova E. Normalizing to GADPH jeopardises correct quantification of gene expression in ovarian tumours–IPO8 and RPL4 are reliable reference genes. J Ovarian Res. 2013;6(1):60.
Yang L, He J, Huang S, Zhang X, Bian Y, He N, et al. Activation of hedgehog signaling is not a frequent event in ovarian cancers. Mol Cancer. 2009;8(1):112.
Sharungbam GD, Schwager C, Chiblak S, Brons S, Hlatky L, Haberer T, et al. Identification of stable endogenous control genes for transcriptional profiling of photon, proton and carbon-ion irradiated cells. Radiat Oncol. 2012;7(1):70.
Li J, Zhuang Q, Lan X, Zeng G, Jiang X, Huang Z. PES1 differentially regulates the expression of ERα and ERβ in ovarian cancer. IUBMB Life. 2013;65(12):1017–25.
Aithal MG, Rajeswari N. Validation of housekeeping genes for gene expression analysis in glioblastoma using quantitative real-time polymerase chain reaction. Brain Tumor Res Treat. 2015;3(1):24–9.
Nazet U, Schröder A, Grässel S, Muschter D, Proff P, Kirschneck C. Housekeeping gene validation for RT-qPCR studies on synovial fibroblasts derived from healthy and osteoarthritic patients with focus on mechanical loading. PLoS One. 2019;14(12):e0225790.
Biade S, Marinucci M, Schick J, Roberts D, Workman G, Sage EH, et al. Gene expression profiling of human ovarian tumours. Br J Cancer. 2006;95(8):1092–100.
Caracausi M, Piovesan A, Antonaros F, Strippoli P, Vitale L, Pelleri MC. Systematic identification of human housekeeping genes possibly useful as references in gene expression studies. Mol Med Rep. 2017;16(3):2397–410.
Acknowledgments
We are grateful to Mira Hryniuk for reviewing the English language of the manuscript and Dolores Gonzalez and Olivier Van Kerk for their technical assistance. We are also thankful to Professor Etienne Marbaix for his kind collaboration and providing ovarian control and cancerous samples.
Funding
This study was supported by grants from the Fonds National de la Recherche Scientifique de Belgique (FNRS) (C. A. Amorim is an FRS-FNRS Research Associate; grant MIS #F4535 16 awarded to C. A. Amorim; grant 5/4/150/5 awarded to M. M. Dolmans; grant ASP-RE314 awarded to P. Asiabi; FNRS-PDR Convention T.0077.14 and EOS grant 30443682).
Author information
Authors and Affiliations
Contributions
P. A.: study design, experimental procedures, analysis, interpretation of data, and manuscript preparation. J. A.: statistical analysis. C. G. and M. E. C.: PCOS tissue supply. B. B.: manuscript revision. M. C. C.: PCOS tissue supply and manuscript revision. M. M. D.: manuscript preparation and revision. C. A. A.: experimental design, experimental procedures, interpretation of results, and manuscript revision.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
Use of human ovarian tissue was approved by the Institutional Review Board of the Université Catholique de Louvain on November 28, 2016 (IRB reference 2012/23MAR/125, registration number B403201213872).
Four PCOS samples came from the assisted reproduction technology center of the Careggi University Hospital in Florence, Italy (Ethical approval n. 11314_bio).
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Supplementary Figure 1
Standard deviation for qPCR technical triplicates as a function of the average value of qPCR technical triplicates. A sharp increase in variability was observed for Ct > 35. (PNG 752 kb)
Rights and permissions
About this article
Cite this article
Asiabi, P., Ambroise, J., Giachini, C. et al. Assessing and validating housekeeping genes in normal, cancerous, and polycystic human ovaries. J Assist Reprod Genet 37, 2545–2553 (2020). https://doi.org/10.1007/s10815-020-01901-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10815-020-01901-8