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Ontological evaluation of transcriptional differences between sperm of infertile males and fertile donors using microarray analysis

  • Gamete Biology
  • Published:
Journal of Assisted Reproduction and Genetics Aims and scope Submit manuscript

Abstract

Purpose

To catalogue Gene Ontology terms in the sperm of infertile human males vs. donors of proven fertility by analyzing five samples from each of the two groups (five aliquots from fresh sperm and five post-swim-up).

Methods

Microarray technology was employed to study the mRNA profile of both fresh and post-swim-up pooled samples from infertile males and donors.

Results

Genes that were differentially expressed in the two populations and expressed in only one of two were analyzed to determine the gene products in terms of their associated Gene Ontology terms. Each group presented a different number and pattern of Gene Ontology terms.

Conclusions

We found differences in Gene Ontology terms between the two groups. These differences could potentially be employed to establish markers of fertility success and to identify cellular processes and complex systems related with male infertility.

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References

  1. Chatzimeletiou K, Morrison EE, Prapas N, Prapas Y, Handyside AH. The centrosome and early embryogenesis: clinical insights. Reprod Biomed Online. 2008;16:485–91.

    PubMed  Google Scholar 

  2. Miller D, Ostermeier GC, Krawetz SA. The controversy, potential and roles of spermatozoal RNA. Trends Mol Med. 2005;11:156–63.

    Article  CAS  PubMed  Google Scholar 

  3. Lalancette C, Miller D, Li Y, Krawetz SA. Paternal contributions: new functional insights for spermatozoal RNA. J Cell Biochem. 2008;104:1570–9.

    Article  CAS  PubMed  Google Scholar 

  4. Miller D, Ostermeier GC. Towards a better understanding of RNA carriage by ejaculate spermatozoa. Hum Reprod Updat. 2006;12:757–67.

    Article  CAS  Google Scholar 

  5. Miller D, Ostermeier GC. Spermatozoal RNA: why is it there and what does it do? Gynecol Obstet Fertil. 2006;34:840–6.

    Article  CAS  PubMed  Google Scholar 

  6. Boerke A, Dieleman SJ, Gadella BM. A possible role for sperm RNA in early embryo development. Theriogenology. 2007;68 Suppl 1:S147–55.

    Article  CAS  PubMed  Google Scholar 

  7. Garrido N, Martinez-Conejero JA, Jauregui J, Horcajadas JA, Simon C, Remohi J, et al. Microarray analysis in sperm from fertile and infertile men without basic sperm analysis abnormalities reveals a significantly different transcriptome. Fertil Steril. 2009;91:1307–10.

    Article  CAS  PubMed  Google Scholar 

  8. Garrido N, Remohí J, Martinez-Conejero JA, Garcia-Herrero S, Pellicer A, Meseguer M. Contribution of sperm molecular features to embryo quality and assisted reproduction success. Reprod Biomed Online. 2008;17:855–65.

    Article  CAS  PubMed  Google Scholar 

  9. Schena M, Shalon D, Davis RW, Brown PO. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science. 1995;270:467–70.

    Article  CAS  PubMed  Google Scholar 

  10. Hoheisel JD. Microarray technology: beyond transcript profiling and genotype analysis. Nat Rev Genet. 2006;7:200–10.

    Article  CAS  PubMed  Google Scholar 

  11. Werner T. Bioinformatics applications for pathway analysis of microarray data. Curr Opin Biotechnol. 2008;19:50–4.

    Article  CAS  PubMed  Google Scholar 

  12. Muriel L, Meseguer M, Fernandez JL, Alvarez J, Remohi J, Pellicer A, et al. Value of the sperm chromatin dispersion test in predicting pregnancy outcome in intrauterine insemination: a blind prospective study. Hum Reprod. 2006;21:738–44.

    Article  PubMed  Google Scholar 

  13. Martinez-Conejero JA, Garrido N, Remohi J, Pellicer A, Simon C, Meseguer M. MUC1 in human testis and ejaculated spermatozoa and its relationship to male fertility status. Fertil Steril. 2008;90:450–2.

    Article  PubMed  Google Scholar 

  14. Horcajadas JA, Sharkey AM, Catalano RD, Sherwin JR, Dominguez F, Burgos LA, et al. Effect of an intrauterine device on the gene expression profile of the endometrium. J Clin Endocrinol Metab. 2006;91:3199–207.

    Article  CAS  PubMed  Google Scholar 

  15. Peng X, Wood CL, Blalock EM, Chen KC, Landfield PW, Stromberg AJ. Statistical implications of pooling RNA samples for microarray experiments. BMC Bioinformatics. 2003;4:26.

    Article  PubMed  Google Scholar 

  16. Gene Ontology Consortium. The Gene Ontology (GO) project in 2006. Nucleic Acids Res. 2006;34:D322–6.

    Article  CAS  Google Scholar 

  17. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000;25:25–9.

    Article  CAS  PubMed  Google Scholar 

  18. Thomas PD, Mi H, Lewis S. Ontology annotation: mapping genomic regions to biological function. Curr Opin Chem Biol. 2007;11:4–11.

    Article  CAS  PubMed  Google Scholar 

  19. da Huang W, Sherman BT, Tan Q, Kir J, Liu D, Bryant D, et al. DAVID bioinformatics resources: expanded annotation database and novel algorithms to better extract biology from large gene lists. Nucleic Acids Res. 2007;35:W169–75.

    Article  Google Scholar 

  20. Ruiz-Pesini E, Diez C, Lapena AC, Perez-Martos A, Montoya J, Alvarez E, et al. Correlation of sperm motility with mitochondrial enzymatic activities. Clin Chem. 1998;44:1616–20.

    CAS  PubMed  Google Scholar 

  21. Erkkila K, Kyttanen S, Wikstrom M, Taari K, Hikim AP, Swerdloff RS, et al. Regulation of human male germ cell death by modulators of ATP production. Am J Physiol Endocrinol Metab. 2006;290:E1145–54.

    Article  CAS  PubMed  Google Scholar 

  22. Miki K. Energy metabolism and sperm function. Soc Reprod Fertil Suppl. 2007;65:309–25.

    CAS  PubMed  Google Scholar 

  23. Sixt SU, Dahlmann B. Extracellular, circulating proteasomes and ubiquitin—incidence and relevance. Biochim Biophys Acta. 2008;1782:817–23.

    CAS  PubMed  Google Scholar 

  24. Sutovsky P, Neuber E, Schatten G. Ubiquitin-dependent sperm quality control mechanism recognizes spermatozoa with DNA defects as revealed by dual ubiquitin-TUNEL assay. Mol Reprod Dev. 2002;61:406–13.

    Article  CAS  PubMed  Google Scholar 

  25. Muratori M, Marchiani S, Criscuoli L, Fuzzi B, Tamburino L, Dabizzi S, et al. Biological meaning of ubiquitination and DNA fragmentation in human spermatozoa. Soc Reprod Fertil Suppl. 2007;63:153–8.

    CAS  PubMed  Google Scholar 

  26. Takubo K, Ohmura M, Azuma M, Nagamatsu G, Yamada W, Arai F, et al. Stem cell defects in ATM-deficient undifferentiated spermatogonia through DNA damage-induced cell-cycle arrest. Cell Stem Cell. 2008;2:170–82.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors would like to express their gratitude to technical personnel of the Andrology and IVF-Sperm Laboratory for their cooperation in this study.

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Authors and Affiliations

  1. Instituto Universitario IVI Valencia, Universidad de Valencia, Valencia, Spain

    Sandra García-Herrero, Nicolás Garrido, José Antonio Martínez-Conejero, José Remohí, Antonio Pellicer & Marcos Meseguer

  2. Andrology Laboratory, Instituto Universitario IVI Valencia, Plaza de la Policía Local 3, Valencia, 46015, Spain

    Sandra García-Herrero

Authors
  1. Sandra García-Herrero
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  2. Nicolás Garrido
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  3. José Antonio Martínez-Conejero
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  4. José Remohí
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  5. Antonio Pellicer
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  6. Marcos Meseguer
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Corresponding author

Correspondence to Sandra García-Herrero.

Additional information

Capsule Ontological analysis of genes that are differentially expressed in the sperm of infertile males undergoing assisted reproduction vs. fertile donors reveals that different biological processes, cellular components, molecular functions and metabolic pathways are attributable.

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García-Herrero, S., Garrido, N., Martínez-Conejero, J.A. et al. Ontological evaluation of transcriptional differences between sperm of infertile males and fertile donors using microarray analysis. J Assist Reprod Genet 27, 111–120 (2010). https://doi.org/10.1007/s10815-010-9388-5

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  • DOI: https://doi.org/10.1007/s10815-010-9388-5

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