Skip to main content
Log in

From Amino Acids Profile to Protein Identification: Searching for Differences in Roe Deer Papilloma

  • Original
  • Published:
Chromatographia Aims and scope Submit manuscript

Abstract

Papillomaviruses, small non-enveloped DNA viruses, are considered as the cause of a number of cancers, such as a cervical, skin, anal, and penile cancers. Roe deer papillomavirus infection can be easily characterized by typical warts on the skin. The aim of this study was to characterize differences of amino acid and protein composition in healthy and tumour tissue of roe deer using methods including ion-exchange chromatography, SDS-PAGE, two-dimensional gel electrophoresis and MALDI-TOF MS. The obtained data were statistically evaluated. Cluster analysis of all variables showed biggest differences in proline in control and papilloma samples. Further, we aimed at electrophoretic analysis of the samples. Discriminant analysis projections to latent structures (Projection to the latent structure Discrimination analysis, syn. Discrimination Partial least squares analysis, PLS DA) was used to evaluate the obtained results. Examining model PLS DA, there was found that the greatest effect on whether the individual is classified as healthy, or with papilloma, is the latent variable that best correlates with the molecular mass from 108.8 to 128.1 kDa and from 231.2 to 290.4 kDa in the original signal. Finally, using mass spectrometry three proteins, pyridoxal kinase, myoblast determination protein and leucine zipper transcription factor-like protein 1, most likely related to cancer were found.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Antonsson A, Hansson BG (2002) J Virol 76:12537–12542

    Article  CAS  Google Scholar 

  2. de Villiers EM, Fauquet C, Broker TR, Bernard HU, zur Hausen H (2004) Virology 324:17–27

    Article  CAS  Google Scholar 

  3. Zheng ZM, Baker CC (2006) Front Biosci 11:2286–2302

    Article  CAS  Google Scholar 

  4. Erdelyi K, Dencso L, Lehoczki R, Heltai M, Sonkoly K, Csanyi S, Solymosi N (2009) Vet Microbiol 138:20–26

    Article  Google Scholar 

  5. Wang Q, Chaerkady R, Wu JA, Hwang HJ, Papadopoulos N, Kopelovich L, Maitra A, Matthaei H, Eshleman JR, Hruban RH, Kinzler KW, Pandey A, Vogelstein B (2011) Proc Natl Acad Sci USA 108:2444–2449

    Article  Google Scholar 

  6. Bernard HU, Burk RD, Chen ZG, van Doorslaer K, zur Hausen H, de Villiers EM (2010) Virology 401:70–79

    Article  CAS  Google Scholar 

  7. Scheurer ME, Tortolero-Luna G, Adler-Storthz K (2005) Int J Gynecol Cancer 15:727–746

    Article  CAS  Google Scholar 

  8. McLaughlin-Drubin ME, Munger K (2013) Viruses-Basel 5:1231–1249

    Article  CAS  Google Scholar 

  9. Greenblatt RJ (2005) Clin Microbiol Newsl 27:139–145

    Article  Google Scholar 

  10. Phang JM, Donald SP, Pandhare J, Liu YM (2008) Amino Acids 35:681–690

    Article  CAS  Google Scholar 

  11. Klein F, Kotb WFMA, Petersen I (2009) Lung Cancer 65:13–18

    Article  Google Scholar 

  12. Erdelyi K, Balint A, Dencso L, Dan A, Ursu K (2008) Virus Res 135:307–311

    Article  CAS  Google Scholar 

  13. Shevchenko A, Tomas H, Havlis J, Olsen JV, Mann M (2006) Nat Protoc 1:2856–2860

    Article  CAS  Google Scholar 

  14. Vyslouzilova L, Krizkova S, Anyz J, Hynek D, Hrabeta J, Kruseova J, Eckschlager T, Adam V, Stepankova O, Kizek R (2013) Electrophoresis 34:1637–1648

    Article  CAS  Google Scholar 

  15. Acebo P, Giner D, Calvo P, Blanco-Rivero A, Ortega AD, Fernandez PL, Roncador G, Fernandez-Malave E, Chamorro M, Cuezva JM (2009) Transl Oncol 2:138–145

    Article  Google Scholar 

  16. Lai HS, Lee JC, Lee PH, Wang ST, Chen WJ (2005) Semin Cancer Biol 15:267–276

    Article  CAS  Google Scholar 

  17. Miyagi Y, Higashiyama M, Gochi A, Akaike M, Ishikawa T, Miura T, Saruki N, Bando E, Kimura H, Imamura F, Moriyama M, Ikeda I, Chiba A, Oshita F, Imaizumi A, Yamamoto H, Miyano H, Horimoto K, Tochikubo O, Mitsushima T, Yamakado M, Okamoto N (2011) PLoS One 6:1–12

    Google Scholar 

  18. Maeda J, Higashiyama M, Imaizumi A, Nakayama T, Yamamoto H, Daimon T, Yamakado M, Imamura F, Kodama K (2010) BMC Cancer 10:1–8

    Article  CAS  Google Scholar 

  19. Proenza AM, Oliver J, Palou A, Roca P (2003) J Nutr Biochem 14:133–138

    Article  CAS  Google Scholar 

  20. Szachowicz-Petelska B, Sulkowski S, Figaszewski ZA (2012) Cent Eur J Chem 10:1245–1252

    Article  CAS  Google Scholar 

  21. Phang JP, Liu W, Hancock C, Christian KJ (2012) Front Oncol 2:1–12

    Article  Google Scholar 

  22. Jain M, Nilsson R, Sharma S, Madhusudhan N, Kitami T, Souza AL, Kafri R, Kirschner MW, Clish CB, Mootha VK (2012) Science 336:1040–1044

    Article  CAS  Google Scholar 

  23. Niu XH, Li NN, Xia JB, Chen DY, Peng YH, Xiao Y, Wei WQ, Wang DM, Wang ZZ (2013) J Theor Biol 332:211–217

    Article  CAS  Google Scholar 

  24. Kiss H, Kedra D, Kiss C, Kost-Alimova M, Yang Y, Klein G, Imreh S, Dumanski JP (2001) Genomics 73:10–19

    Article  CAS  Google Scholar 

  25. Marion V, Stutzmann F, Gerard M, De Melo C, Schaefer E, Claussmann A, Helle S, Delague V, Souied E, Barrey C, Verloes A, Stoetzel C, Dollfus H (2012) J Med Genet 49:317–321

    Article  Google Scholar 

  26. Conconi MT, Burra P, Di Liddo R, Calore C, Turetta M, Bellini S, Bo P, Nussdorfer GG, Parnigotto PP (2006) Int J Mol Med 18:1089–1096

    CAS  Google Scholar 

  27. Yu YH, Liu BH, Mersmann HJ, Ding ST (2006) J Anim Sci 84:2655–2665

    Article  CAS  Google Scholar 

Download references

Acknowledgments

Financial support from CEITEC CZ.1.05/1.1.00/02.0068 and MSMT 6215712402 is highly acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rene Kizek.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kominkova, M., Michalek, P., Guran, R. et al. From Amino Acids Profile to Protein Identification: Searching for Differences in Roe Deer Papilloma. Chromatographia 77, 609–617 (2014). https://doi.org/10.1007/s10337-014-2658-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10337-014-2658-0

Keywords

Navigation