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BMC research notes2011; 4; 120; doi: 10.1186/1756-0500-4-120

Expression stability of putative reference genes in equine endometrial, testicular, and conceptus tissues.

Abstract: Quantitative RT-PCR data are commonly normalized using a reference gene. A reference gene is a transcript which expression does not differ in the tissue of interest independent of the experimental condition. The objective of this study was to evaluate the stability of mRNA expression levels of putative reference genes in three different types of equine tissue, endometrial, testicular, and conceptus tissue. Results: The expression stability of four (uterine tissue) and six (testicular and conceptus tissue) was assessed using descriptive data analysis and the software programs Normfinder and geNorm. In uterine samples, 18S showed the largest degree of variation in expression while GAPDH, B2M, and ACTB were stably expressed. B2M and GAPDH were identified as the most stably expressed genes in testicular samples, while 18S showed some extent of regulation between samples. Conceptus tissue overall was characterized by very low variability of the transcripts analyzed with GAPDH, YWHZ, and 18S being the most stably expressed genes. Conclusions: In equine endometrium, GAPDH, B2M, and ACTB transcript levels are equally stable, while 18S is less stably expressed. In testes and associated structures, B2M and GAPDH are the transcripts showing the least amount of variation, while in conceptus tissue GAPDH, YWHZ, and 18S were identified as the most suitable reference genes. Overall, transcripts analyzed in conceptus tissue were characterized by less variation than transcripts analyzed in uterine and testicular tissue.
Publication Date: 2011-04-12 PubMed ID: 21486450PubMed Central: PMC3083352DOI: 10.1186/1756-0500-4-120Google Scholar: Lookup
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  • Journal Article

Summary

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The research is about finding the stability of mRNA expression levels of potential reference genes in three different types of horse tissue, specifically endometrial, testicular, and conceptus tissue. Their findings suggest that in equine endometrium, GAPDH, B2M, and ACTB transcript levels are equally stable, while 18S is less stably expressed. In testes and associated structures, B2M and GAPDH are the least variable, while in conceptus tissue GAPDH, YWHZ, and 18S were identified as the most suitable reference genes.

Objective of the Study

  • The main objective of this study was to assess the stability of mRNA expression levels of potential reference genes in different equine tissues – endometrial, testicular, and conceptus. As reference genes are used to normalize quantitative RT-PCR data, their expression stability is critical for accurate results.

Methods of the Study

  • The researchers evaluated the expression stability of four putative reference genes for uterine tissue and six for testicular and conceptus tissues.
  • Descriptive data analysis was used for this evaluation along with software programs such as Normfinder and geNorm.

Results

  • In uterine samples, the gene 18S showed the highest degree of variation while GAPDH, B2M, and ACTB were more stably expressed.
  • For testicular samples, B2M and GAPDH showed the most stable expression.
  • In conceptus tissue, the transcripts that were analyzed showed very low variability with GAPDH, YWHZ, and 18S being the genes with the most stable expression.

Conclusion

  • The study concludes that the genes GAPDH, B2M, and ACTB have equally stable transcript levels in equine endometrium and the gene 18S is less stably expressed.
  • In the case of testicular tissue and its associated parts, the genes B2M and GAPDH were found to be the most stable while 18S showed some variation between samples.
  • In conceptus tissue, the most suitable reference genes were identified as GAPDH, YWHZ, and 18S.
  • The transcripts analyzed in conceptus tissue showed less variation as compared to those in uterine and testicular tissues.

Cite This Article

APA
Klein C, Rutllant J, Troedsson MH. (2011). Expression stability of putative reference genes in equine endometrial, testicular, and conceptus tissues. BMC Res Notes, 4, 120. https://doi.org/10.1186/1756-0500-4-120

Publication

ISSN: 1756-0500
NlmUniqueID: 101462768
Country: England
Language: English
Volume: 4
Pages: 120

Researcher Affiliations

Klein, Claudia
  • University of Kentucky, Department of Veterinary Science, 108 Gluck Equine Research Center, Lexington, KY, 40546, USA. claudia.klein@uky.edu.
Rutllant, Josep
    Troedsson, Mats Ht

      References

      This article includes 13 references
      1. Ferre F. Quantitative or semi-quantitative PCR: reality versus myth.. PCR Methods Appl 1992 Aug;2(1):1-9.
        pubmed: 1490169doi: 10.1101/gr.2.1.1google scholar: lookup
      2. Bogaert L, Van Poucke M, De Baere C, Peelman L, Gasthuys F, Martens A. Selection of a set of reliable reference genes for quantitative real-time PCR in normal equine skin and in equine sarcoids.. BMC Biotechnol 2006 Apr 27;6:24.
        doi: 10.1186/1472-6750-6-24pmc: PMC1484482pubmed: 16643647google scholar: lookup
      3. Cappelli K, Felicetti M, Capomaccio S, Spinsanti G, Silvestrelli M, Supplizi AV. Exercise induced stress in horses: selection of the most stable reference genes for quantitative RT-PCR normalization.. BMC Mol Biol 2008 May 19;9:49.
        doi: 10.1186/1471-2199-9-49pmc: PMC2412902pubmed: 18489742google scholar: lookup
      4. Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, Mueller R, Nolan T, Pfaffl MW, Shipley GL, Vandesompele J, Wittwer CT. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.. Clin Chem 2009 Apr;55(4):611-22.
        doi: 10.1373/clinchem.2008.112797pubmed: 19246619google scholar: lookup
      5. 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 Mar;26(6):509-15.
      6. 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 Aug 1;64(15):5245-50.
        doi: 10.1158/0008-5472.CAN-04-0496pubmed: 15289330google scholar: lookup
      7. Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.. Genome Biol 2002 Jun 18;3(7):RESEARCH0034.
      8. Klein C, Scoggin KE, Ealy AD, Troedsson MH. Transcriptional profiling of equine endometrium during the time of maternal recognition of pregnancy.. Biol Reprod 2010 Jul;83(1):102-13.
        pubmed: 20335638doi: 10.1095/biolreprod.109.081612google scholar: lookup
      9. Murray RS, Inman DA, Yuan L, Fritz MA, Young SL. Choice of a constitutive housekeeping gene (HKG) is critical in the analysis of real-time reverse transcriptase polymerase chain reaction (qRT-PCR) results.. Fertil Steril 2010;86(3):S38–S39.
      10. Walker CG, Meier S, Mitchell MD, Roche JR, Littlejohn M. Evaluation of real-time PCR endogenous control genes for analysis of gene expression in bovine endometrium.. BMC Mol Biol 2009 Nov 1;10:100.
        doi: 10.1186/1471-2199-10-100pmc: PMC2774697pubmed: 19878604google scholar: lookup
      11. Craythorn RG, Girling JE, Hedger MP, Rogers PA, Winnall WR. An RNA spiking method demonstrates that 18S rRNA is regulated by progesterone in the mouse uterus.. Mol Hum Reprod 2009 Nov;15(11):757-61.
        doi: 10.1093/molehr/gap058pubmed: 19602508google scholar: lookup
      12. Smits K, Goossens K, Van Soom A, Govaere J, Hoogewijs M, Vanhaesebrouck E, Galli C, Colleoni S, Vandesompele J, Peelman L. Selection of reference genes for quantitative real-time PCR in equine in vivo and fresh and frozen-thawed in vitro blastocysts.. BMC Res Notes 2009 Dec 11;2:246.
        doi: 10.1186/1756-0500-2-246pmc: PMC2797813pubmed: 20003356google scholar: lookup
      13. Goossens K, Van Poucke M, Van Soom A, Vandesompele J, Van Zeveren A, Peelman LJ. Selection of reference genes for quantitative real-time PCR in bovine preimplantation embryos.. BMC Dev Biol 2005 Dec 3;5:27.
        doi: 10.1186/1471-213X-5-27pmc: PMC1315359pubmed: 16324220google scholar: lookup

      Citations

      This article has been cited 14 times.
      1. Lan KC, Wang HJ, Wang TJ, Lin HJ, Chang YC, Kang HY. Y-chromosome genes associated with sertoli cell-only syndrome identified by array comparative genome hybridization.. Biomed J 2023 Apr;46(2):100524.
        doi: 10.1016/j.bj.2022.03.009pubmed: 35358715google scholar: lookup
      2. Zhang J, Huang L, Zhang P, Huang X, Yang W, Liu R, Sun Q, Lu Y, Zhang M, Fu Q. Genomic Identification, Evolution, and Expression Analysis of Bromodomain Genes Family in Buffalo.. Genes (Basel) 2022 Jan 1;13(1).
        doi: 10.3390/genes13010103pubmed: 35052443google scholar: lookup
      3. Haneda S, Dini P, Esteller-Vico A, Scoggin KE, Squires EL, Troedsson MH, Daels P, Nambo Y, Ball BA. Estrogens Regulate Placental Angiogenesis in Horses.. Int J Mol Sci 2021 Nov 9;22(22).
        doi: 10.3390/ijms222212116pubmed: 34829994google scholar: lookup
      4. Stefanetti V, Pascucci L, Wilsher S, Cappelli K, Capomaccio S, Reale L, Passamonti F, Coletti M, Crociati M, Monaci M, Marenzoni ML. Differential Expression Pattern of Retroviral Envelope Gene in the Equine Placenta.. Front Vet Sci 2021;8:693416.
        doi: 10.3389/fvets.2021.693416pubmed: 34307531google scholar: lookup
      5. Rapacz-Leonard A, Leonard M, Chmielewska-Krzesińska M, Siemieniuch M, Janowski TE. The oxytocin-prostaglandins pathways in the horse (Equus caballus) placenta during pregnancy, physiological parturition, and parturition with fetal membrane retention.. Sci Rep 2020 Feb 7;10(1):2089.
        doi: 10.1038/s41598-020-59085-1pubmed: 32034259google scholar: lookup
      6. Dini P, Daels P, Loux SC, Esteller-Vico A, Carossino M, Scoggin KE, Ball BA. Kinetics of the chromosome 14 microRNA cluster ortholog and its potential role during placental development in the pregnant mare.. BMC Genomics 2018 Dec 20;19(1):954.
        doi: 10.1186/s12864-018-5341-2pubmed: 30572819google scholar: lookup
      7. Carmalt JL, Mortazavi S, McOnie RC, Allen AL, Unniappan S. Profiles of pro-opiomelanocortin and encoded peptides, and their processing enzymes in equine pituitary pars intermedia dysfunction.. PLoS One 2018;13(1):e0190796.
        doi: 10.1371/journal.pone.0190796pubmed: 29309431google scholar: lookup
      8. Dini P, Loux SC, Scoggin KE, Esteller-Vico A, Squires EL, Troedsson MHT, Daels P, Ball BA. Identification of Reference Genes for Analysis of microRNA Expression Patterns in Equine Chorioallantoic Membrane and Serum.. Mol Biotechnol 2018 Jan;60(1):62-73.
        doi: 10.1007/s12033-017-0047-2pubmed: 29197992google scholar: lookup
      9. Ferris RA, McCue PM, Borlee GI, Glapa KE, Martin KH, Mangalea MR, Hennet ML, Wolfe LM, Broeckling CD, Borlee BR. Model of Chronic Equine Endometritis Involving a Pseudomonas aeruginosa Biofilm.. Infect Immun 2017 Dec;85(12).
        doi: 10.1128/IAI.00332-17pubmed: 28970274google scholar: lookup
      10. Azarpeykan S, Dittmer KE. Evaluation of housekeeping genes for quantitative gene expression analysis in the equine kidney.. J Equine Sci 2016;27(4):165-168.
        doi: 10.1294/jes.27.165pubmed: 27974876google scholar: lookup
      11. Wu PY, Phan JH, Zhou F, Wang MD. Evaluation of Normalization Methods for RNA-Seq Gene Expression Estimation.. IEEE Int Conf Bioinform Biomed Workshops 2011 Nov;2011:50-57.
        doi: 10.1109/BIBMW.2011.6112354pubmed: 27532058google scholar: lookup
      12. Stefanetti V, Marenzoni ML, Passamonti F, Cappelli K, Garcia-Etxebarria K, Coletti M, Capomaccio S. High Expression of Endogenous Retroviral Envelope Gene in the Equine Fetal Part of the Placenta.. PLoS One 2016;11(5):e0155603.
        doi: 10.1371/journal.pone.0155603pubmed: 27176223google scholar: lookup
      13. da Silveira JC, Carnevale EM, Winger QA, Bouma GJ. Regulation of ACVR1 and ID2 by cell-secreted exosomes during follicle maturation in the mare.. Reprod Biol Endocrinol 2014 May 26;12:44.
        doi: 10.1186/1477-7827-12-44pubmed: 24884710google scholar: lookup
      14. Lan KC, Chen YT, Chang C, Chang YC, Lin HJ, Huang KE, Kang HY. Up-regulation of SOX9 in sertoli cells from testiculopathic patients accounts for increasing anti-mullerian hormone expression via impaired androgen receptor signaling.. PLoS One 2013;8(10):e76303.
        doi: 10.1371/journal.pone.0076303pubmed: 24098470google scholar: lookup