Abstract
Background
Reference genes are considered stable genes and are used for normalizing the gene expression profile across different cell types; as well as, in normal and diseased samples. However, these gene associates with different biological processes, and hence expression vary in different pathological conditions. Therefore, in the present study, eight different reference genes were used and compared to identify common reference gene usable for an array of different cell types and human cancers.
Methods and results
The expression stability of the eight reference genes across eleven normal and cancerous tissues was confirmed through real time-qPCR. Ribosomal protein S13 (RPS13) was found to be a common and stable reference gene across intra- and inter-comparison between various normal and tumor tissue types. Further, TCGA data analysis across and between normal and tumor tissue types also showed minimum deviation in expression of RPS13 gene out of eight routinely used reference genes.
Conclusion
RPS13 is the common stable reference gene in normalization for gene expression based analysis in cancer research.
Similar content being viewed by others
Data availability
The raw data and/or analyzed data are available from the corresponding and first authors on reasonable request.
Code availability
Not applicable.
References
Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29:e45–e45. https://doi.org/10.1093/nar/29.9.e45
Hsiao LL, Dangond F, Yoshida T et al (2002) A compendium of gene expression in normal human tissues. Physiol Genomics 2002:97–104. https://doi.org/10.1152/physiolgenomics.00040.2001
Dheda K, Huggett JF, Bustin SA et al (2004) Validation of housekeeping genes for normalizing RNA expression in real-time PCR. Biotechniques 37:112–119. https://doi.org/10.2144/04371rr03
Stephens AS, Stephens SR, Morrison NA (2011) Internal control genes for quantitative RT-PCR expression analysis in mouse osteoblasts, osteoclasts and macrophages. BMC Res Notes 4:410. https://doi.org/10.1186/1756-0500-4-410
Janssens N, Janicot M, Perera T, Bakker A (2004) Housekeeping genes as internal standards in cancer research. Mol Diagnosis 8:107–113. https://doi.org/10.1007/bf03260053
Rubie C, Kempf K, Hans J et al (2005) Housekeeping gene variability in normal and cancerous colorectal, pancreatic, esophageal, gastric and hepatic tissues. Mol Cell Probes 19:101–109. https://doi.org/10.1016/j.mcp.2004.10.001
Jo J, Choi S, Oh J et al (2019) Conventionally used reference genes are not outstanding for normalization of gene expression in human cancer research. BMC Bioinform. https://doi.org/10.1186/s12859-019-2809-2
Chua SL, See Too WC, Khoo BY, Few LL (2011) UBC and YWHAZ as suitable reference genes for accurate normalisation of gene expression using MCF7, HCT116 and HepG2 cell lines. Cytotechnology 63:645–654. https://doi.org/10.1007/s10616-011-9383-4
Dupasquier S, Delmarcelle AS, Marbaix E et al (2014) 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. https://doi.org/10.1186/1471-2199-15-9
Dai H, Charnigo R, Vyhlidal CA et al (2013) Mixed modeling and sample size calculations for identifying housekeepinggenes. Stat Med 32:3115–3125. https://doi.org/10.1002/sim.5768
Shah SG, Rashid M, Verma T et al (2019) Establishing a correlation between RIN and A260/280 along with the multivariate evaluation of factors affecting the quality of RNA in cryopreserved cancer bio-specimen. Cell Tissue Bank 20:489–499. https://doi.org/10.1007/s10561-019-09782-7
González S, Mei H, Nakatsu MN et al (2016) A 3D culture system enhances the ability of human bone marrow stromal cells to support the growth of limbal stem/progenitor cells. Stem Cell Res 16:358–364. https://doi.org/10.1016/j.scr.2016.02.018
Chen D, Qu Y, Hua X et al (2017) A hyaluronan hydrogel scaffold-based xeno-free culture system for ex vivo expansion of human corneal epithelial stem cells. Eye 31:962–971. https://doi.org/10.1038/eye.2017.8
Tang Z, Yuan S, Hu Y et al (2012) Over-expression of GAPDH in human colorectal carcinoma as a preferred target of 3-bromopyruvate propyl ester. J Bioenerg Biomembr 44:117–125. https://doi.org/10.1007/s10863-012-9420-9
Walter RFH, Werner R, Vollbrecht C et al (2016) ACTB, CDKN1B, GAPDH, GRB2, RHOA and SDCBP were identified as reference genes in neuroendocrine lung cancer via the nCounter technology. PLoS ONE 11:e0165181. https://doi.org/10.1371/journal.pone.0165181
Zhu J, He F, Hu S, Yu J (2008) On the nature of human housekeeping genes. Trends Genet 24:481–484
Eisenberg E, Levanon EY (2013) Human housekeeping genes, revisited. Trends Genet 29:569–574
Zhang C, Wang YQ, Jin G et al (2017) Selection of reference genes for gene expression studies in human bladder cancer using SYBR-green quantitative polymerase chain reaction. Oncol Lett 14:6001–6011. https://doi.org/10.3892/ol.2017.7002
Khimani AH, Mhashilkar AM, Mikulskis A et al (2005) Housekeeping genes in cancer: normalization of array data. Biotechniques 38:739–745. https://doi.org/10.2144/05385ST04
Jo J, Choi S, Oh J et al (2019) Conventionally used reference genes are not outstanding for normalization of gene expression in human cancer research. BMC Bioinform 20:245. https://doi.org/10.1186/s12859-019-2809-2
Jacob F, Guertler R, Naim S et al (2013) Careful selection of reference genes is required for reliable performance of RT-qPCR in human normal and cancer cell lines. PLoS ONE 8:e59180. https://doi.org/10.1371/journal.pone.0059180
Zhang J, Nuebel E, Daley GQ et al (2012) Metabolic regulation in pluripotent stem cells during reprogramming and self-renewal. Cell Stem Cell 11:589–595
Lehman NL (2009) The ubiquitin proteasome system in neuropathology. Acta Neuropathol 118:329–347
Iyer G, Wang AR, Brennan SR et al (2017) Identification of stable housekeeping genes in response to ionizing radiation in cancer research. Sci Rep 7:1–9. https://doi.org/10.1038/srep43763
Nazari F, Parham A, Maleki AF (2015) GAPDH, β-actin and β2-microglobulin, as three common reference genes, are not reliable for gene expression studies in equine adipose- and marrow-derived mesenchymal stem cells. J Anim Sci Technol. https://doi.org/10.1186/s40781-015-0050-8
Perez LJ, Rios L, Trivedi P et al (2017) Validation of optimal reference genes for quantitative real time PCR in muscle and adipose tissue for obesity and diabetes research. Sci Rep 7:1–13. https://doi.org/10.1038/s41598-017-03730-9
Shi C, Yang F, Zhu X et al (2016) Evaluation of housekeeping genes for quantitative real-time PCR analysis of bradysia odoriphaga (Diptera: Sciaridae). Int J Mol Sci. https://doi.org/10.3390/ijms17071034
Li HB, Dai CG, Zhang CR et al (2018) Screening potential reference genes for quantitative real-time PCR analysis in the oriental armyworm, Mythimna separata. PLoS One. https://doi.org/10.1371/journal.pone.0195096
Oczkowicz M, Rózycki M, Piórkowska K et al (2010) A new set of endogenous reference genes for gene expression studies of porcine stomach. J Anim Feed Sci 19:570–576. https://doi.org/10.22358/jafs/66323/2010
Parab A, Mhatre S, Hake S et al (2019) Identification of stably expressed genes for normalization of gene expression data in oral tumors: a preliminary analysis. Oral Cancer 3:49–58. https://doi.org/10.1007/s41548-019-00020-y
Acknowledgements
Authors are grateful to all members of Gupta Lab, ACTREC for valuable discussions. This work was partly supported by TMC-Intramural Research Grant. We are thankful to Dr. Manisha Kulkarni and Mr. Anand Deshpande from TMH for their kind co-operation in the collection of tissue samples from TMH-TTR.
Funding
This research was partly supported by TMC-Intramural Research Grant.
Author information
Authors and Affiliations
Contributions
SG conceived the idea, designed the experiments, and wrote the manuscript. MR performed the majority of experiments with contributions from SGS, AN, TV, and SR. All authors contributed to manuscript writing. SGS contributed to the designing of experiments and major writing of the manuscript. AN performed data analysis. PG validated H&E stained slides. SG and SGS revised the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no competing interests.
Ethical approval
The project was approved by the Institute human ethics committee vide #164 dated 27-04-2015.
Consent for publication
Waiver of consent was granted for retrospective study proposal by Institutional Ethics Committee.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
11033_2021_6828_MOESM1_ESM.tif
Supplementary file1 Fig. S1 Histopathological analysis of human tissue samples after haematoxylin and eosin staining. Representative images for (a-d) Adenocarcinoma (stomach, colon, rectum and ovary) cancer type; (e-g) Squamous cell carcinoma (tongue, buccal and penis) cancer type; (h-k) Others represent glioblastoma, hepatocellular carcinoma, renal cell carcinoma and invasive ductal carcinoma (TIF 9573 kb)
11033_2021_6828_MOESM2_ESM.tif
Supplementary file2 Fig. S2 Stability prediction of reference genes across normal and tumor tissue types (A) NormFinder stability prediction of housekeeping genes across normal tissue types (B) NormFinder stability prediction of housekeeping genes across tumor tissue types (TIF 4416 kb)
11033_2021_6828_MOESM3_ESM.tif
Supplementary file3 Fig. S3 Comprehensive stability prediction of reference genes via Delta CT, BestKeeper, Normfinder and Genorm (A) Ranking order of housekeeping genes across tumor tissue types (B) Stability value of reference genes (TIF 2967 kb)
Rights and permissions
About this article
Cite this article
Rashid, M., Shah, S.G., Natu, A. et al. RPS13, a potential universal reference gene for normalisation of gene expression in multiple human normal and cancer tissue samples. Mol Biol Rep 48, 7967–7974 (2021). https://doi.org/10.1007/s11033-021-06828-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11033-021-06828-6