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Published in: BMC Immunology 1/2020

Open Access 01-12-2020 | Influenza Virus | Research article

Reliable reference genes for the quantification of mRNA in human T-cells and PBMCs stimulated with live influenza virus

Authors: Justin G. Roy, Janet E. McElhaney, Chris P. Verschoor

Published in: BMC Immunology | Issue 1/2020

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Abstract

Background

Quantitative PCR (qPCR) is a powerful tool that is particularly well-suited to measure mRNA levels in clinical samples, especially those with relatively low cell counts. However, a caveat of this approach is that reliable, stably expressed reference (housekeeping) genes are vital in order to ensure reproducibility and appropriate biological inference. In this study, we evaluated the expression stability of six reference genes in peripheral blood mononuclear cells (PBMCs) and isolated CD3+ T-cells from young and old adults (n = 10), following ex vivo stimulation with mock (unstimulated) or live influenza virus. Our genes included: β-actin (ACTB), glyercaldehyde-3-phostphate dehydrogenase (GAPDH), ribosomal protein L13a (RPL13a), ribosomal protein S18 (RPS18), succinate dehydrogenase complex flavoprotein subunit A (SDHA), and ubiquitin-conjugating enzyme E2D2 (UBE2D2).

Results

Reference gene expression varied significantly depending on cell type and stimulation conditions, but not age. Using the comparative ΔCt method, and the previously published software BestKeeper, NormFinder, and geNorm, we show that in PBMCs and T-cells, UBE2D2 and RPS18 were the most stable reference genes, followed by ACTB; however, the expression of UBE2D2 and RPS18 was found to increase with viral stimulation in isolated T-cells, while ACTB expression did not change significantly. No age-related differences in stability were observed for any gene

Conclusions

This study suggests the use of a combination of UBE2D2, RPS18, and ACTB for the study of influenza responses in PBMCs and T-cells, although ACTB alone may be the most optimal choice if choosing to compare target gene expression before and after viral stimulation. Both GAPDH and RPL13a were found to be poor reference genes and should be avoided for studies of this nature.
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Literature
1.
go back to reference Bustin SA, Benes V, Nolan T, Pfaffl MW. Quantitative real-time RT-PCR--a perspective. J Mol Endocrinol. 2005;34:597–601.CrossRef Bustin SA, Benes V, Nolan T, Pfaffl MW. Quantitative real-time RT-PCR--a perspective. J Mol Endocrinol. 2005;34:597–601.CrossRef
2.
go back to reference Dheda K, Huggett JF, Chang JS, Kim LU, Bustin SA, Johnson MA, et al. The implications of using an inappropriate reference gene for real-time reverse transcription PCR data normalization. Anal Biochem. 2005;344:141–3.CrossRef Dheda K, Huggett JF, Chang JS, Kim LU, Bustin SA, Johnson MA, et al. The implications of using an inappropriate reference gene for real-time reverse transcription PCR data normalization. Anal Biochem. 2005;344:141–3.CrossRef
3.
go back to reference Thellin O, ElMoualij B, Heinen E, Zorzi W. A decade of improvements in quantification of gene expression and internal standard selection. Biotechnol Adv. 2009;27:323–33.CrossRef Thellin O, ElMoualij B, Heinen E, Zorzi W. A decade of improvements in quantification of gene expression and internal standard selection. Biotechnol Adv. 2009;27:323–33.CrossRef
4.
go back to reference 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;55:611–22.CrossRef 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;55:611–22.CrossRef
5.
go back to reference Jacob F, Guertler R, Naim S, Nixdorf S, Fedier A, Hacker NF, et al. Careful selection of reference genes is required for reliable performance of RT-qPCR in human normal and cancer cell lines. PLoS One. 2013;8:e59180.CrossRef Jacob F, Guertler R, Naim S, Nixdorf S, Fedier A, Hacker NF, et al. Careful selection of reference genes is required for reliable performance of RT-qPCR in human normal and cancer cell lines. PLoS One. 2013;8:e59180.CrossRef
6.
go back to reference Huggett J, Dheda K, Bustin S, Zumla A. Real-time RT-PCR normalisation; strategies and considerations. Genes Immun. 2005;6:279–84.CrossRef Huggett J, Dheda K, Bustin S, Zumla A. Real-time RT-PCR normalisation; strategies and considerations. Genes Immun. 2005;6:279–84.CrossRef
8.
go back to reference McElhaney JE, Gentleman B. Cell-mediated immune response to influenza using ex vivo stimulation and assays of cytokine and Granzyme B responses. Methods Mol Biol. 2015;1343:121–41.CrossRef McElhaney JE, Gentleman B. Cell-mediated immune response to influenza using ex vivo stimulation and assays of cytokine and Granzyme B responses. Methods Mol Biol. 2015;1343:121–41.CrossRef
9.
go back to reference Haq K, Fulop T, Tedder G, Gentleman B, Garneau H, Meneilly GS, et al. Cytomegalovirus Seropositivity predicts a decline in the T cell but not the antibody response to influenza in vaccinated older adults independent of type 2 diabetes status. J Gerontol Biol Sci Med Sci. 2017;72:1163–70. Haq K, Fulop T, Tedder G, Gentleman B, Garneau H, Meneilly GS, et al. Cytomegalovirus Seropositivity predicts a decline in the T cell but not the antibody response to influenza in vaccinated older adults independent of type 2 diabetes status. J Gerontol Biol Sci Med Sci. 2017;72:1163–70.
10.
go back to reference Zhou X, McElhaney JE. Age-related changes in memory and effector T cells responding to influenza a/H3N2 and pandemic a/H1N1 strains in humans. Vaccine. 2011;29:2169–77.CrossRef Zhou X, McElhaney JE. Age-related changes in memory and effector T cells responding to influenza a/H3N2 and pandemic a/H1N1 strains in humans. Vaccine. 2011;29:2169–77.CrossRef
11.
go back to reference Steegenga WT, Boekschoten MV, Lute C, Hooiveld GJ, de Groot PJ, Morris TJ, et al. Genome-wide age-related changes in DNA methylation and gene expression in human PBMCs. AGE. 2014;36:9648.CrossRef Steegenga WT, Boekschoten MV, Lute C, Hooiveld GJ, de Groot PJ, Morris TJ, et al. Genome-wide age-related changes in DNA methylation and gene expression in human PBMCs. AGE. 2014;36:9648.CrossRef
12.
go back to reference Bas A, Forsberg G, Hammarstrom S, Hammarstrom M-L. Utility of the housekeeping genes 18S rRNA, beta-actin and Glyceraldehyde-3-phosphate-dehydrogenase for normalization in real-time quantitative reverse transcriptase-polymerase chain reaction analysis of gene expression in human T lymphocytes. Scand J Immunol. 2004;59:566–73.CrossRef Bas A, Forsberg G, Hammarstrom S, Hammarstrom M-L. Utility of the housekeeping genes 18S rRNA, beta-actin and Glyceraldehyde-3-phosphate-dehydrogenase for normalization in real-time quantitative reverse transcriptase-polymerase chain reaction analysis of gene expression in human T lymphocytes. Scand J Immunol. 2004;59:566–73.CrossRef
13.
go back to reference Piehler AP, Grimholt RM, Øvstebø R, Berg JP. Gene expression results in lipopolysaccharide-stimulated monocytes depend significantly on the choice of reference genes. BMC Immunol. 2010;11:21.CrossRef Piehler AP, Grimholt RM, Øvstebø R, Berg JP. Gene expression results in lipopolysaccharide-stimulated monocytes depend significantly on the choice of reference genes. BMC Immunol. 2010;11:21.CrossRef
16.
go back to reference Oturai DB, Søndergaard HB, Börnsen L, Sellebjerg F, Romme CJ. Identification of suitable reference genes for peripheral blood mononuclear cell subset studies in multiple sclerosis. Scand J Immunol. 2016;83:72–80.CrossRef Oturai DB, Søndergaard HB, Börnsen L, Sellebjerg F, Romme CJ. Identification of suitable reference genes for peripheral blood mononuclear cell subset studies in multiple sclerosis. Scand J Immunol. 2016;83:72–80.CrossRef
17.
go back to reference Chen I-H, Chou L-S, Chou S-J, Wang J-H, Stott J, Blanchard M, et al. Selection of suitable reference genes for normalization of quantitative RT-PCR in peripheral blood samples of bottlenose dolphins (Tursiops truncatus). Sci Rep. 2015;5. https://doi.org/10.1038/srep15425. Chen I-H, Chou L-S, Chou S-J, Wang J-H, Stott J, Blanchard M, et al. Selection of suitable reference genes for normalization of quantitative RT-PCR in peripheral blood samples of bottlenose dolphins (Tursiops truncatus). Sci Rep. 2015;5. https://​doi.​org/​10.​1038/​srep15425.
18.
go back to reference Rienzo M, Schiano C, Casamassimi A, Grimaldi V, Infante T, Napoli C. Identification of valid reference housekeeping genes for gene expression analysis in tumor neovascularization studies. Clin Transl Oncol. 2013;15:211–8.CrossRef Rienzo M, Schiano C, Casamassimi A, Grimaldi V, Infante T, Napoli C. Identification of valid reference housekeeping genes for gene expression analysis in tumor neovascularization studies. Clin Transl Oncol. 2013;15:211–8.CrossRef
19.
go back to reference 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;64:5245–50.CrossRef 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;64:5245–50.CrossRef
20.
go back to reference 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;26:509–15.CrossRef 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;26:509–15.CrossRef
22.
go back to reference Falsey AR, Hennessey PA, Formica MA, Cox C, Walsh EE. Respiratory syncytial virus infection in elderly and high-risk adults. N Engl J Med. 2005;352:1749–59.CrossRef Falsey AR, Hennessey PA, Formica MA, Cox C, Walsh EE. Respiratory syncytial virus infection in elderly and high-risk adults. N Engl J Med. 2005;352:1749–59.CrossRef
23.
go back to reference McElhaney JE, Xie D, Hager WD, Barry MB, Wang Y, Kleppinger A, et al. T cell responses are better correlates of vaccine protection in the elderly. J Immunol Baltim Md 1950. 2006;176:6333–9. McElhaney JE, Xie D, Hager WD, Barry MB, Wang Y, Kleppinger A, et al. T cell responses are better correlates of vaccine protection in the elderly. J Immunol Baltim Md 1950. 2006;176:6333–9.
25.
go back to reference Harrison OJ, Moorjani N, Torrens C, Ohri SK, Cagampang FR. Endogenous reference genes for gene expression studies on bicuspid aortic valve associated Aortopathy in humans. PLoS One. 2016;11:e0164329.CrossRef Harrison OJ, Moorjani N, Torrens C, Ohri SK, Cagampang FR. Endogenous reference genes for gene expression studies on bicuspid aortic valve associated Aortopathy in humans. PLoS One. 2016;11:e0164329.CrossRef
26.
go back to reference Timaru-Kast R, Herbig EL, Luh C, Engelhard K, Thal SC. Influence of age on cerebral housekeeping gene expression for normalization of quantitative polymerase chain reaction after acute brain injury in mice. J Neurotrauma. 2015;32:1777–88.CrossRef Timaru-Kast R, Herbig EL, Luh C, Engelhard K, Thal SC. Influence of age on cerebral housekeeping gene expression for normalization of quantitative polymerase chain reaction after acute brain injury in mice. J Neurotrauma. 2015;32:1777–88.CrossRef
Metadata
Title
Reliable reference genes for the quantification of mRNA in human T-cells and PBMCs stimulated with live influenza virus
Authors
Justin G. Roy
Janet E. McElhaney
Chris P. Verschoor
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Immunology / Issue 1/2020
Electronic ISSN: 1471-2172
DOI
https://doi.org/10.1186/s12865-020-0334-8

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