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A Proteome Reference Map for Porcine Plasma Proteins

  • Jeong, Jin Young (Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration) ;
  • Nam, Jin Sun (Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration) ;
  • Park, Mi Rim (Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration) ;
  • Kim, Jang Mi (Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration) ;
  • Jeong, Hak Jae (Division of Animal Biotechnology, National Institute of Animal Science, Rural Development Administration) ;
  • Kim, Kyung Woon (Division of Animal Biotechnology, National Institute of Animal Science, Rural Development Administration) ;
  • Lee, Hyun-Jeong (Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration)
  • Received : 2013.12.03
  • Accepted : 2013.12.17
  • Published : 2013.12.31

Abstract

To profile the proteome in porcine plasma, blood samples were collected from adult male barrows and those plasma were retrieved. For the depletion or pre-fractionation of high-abundance proteins, plasma samples were treated with commercial kits. Then, protein profiling was initiated using one and two-dimensional electrophoresis. Proteins were spotted and then identified by MALDI-TOF-TOF and LC-MS-MS. In the results, more than forty six proteins were identified and the reference map was constructed. The pre-treatment for the removal of high-abundance proteins caused the changes in 2-DE images and some of the proteins were newly uncovered after the most of high abundant proteins were removed. However, it is expected for further steps necessary to identify more low-abundance proteins that may contain potential bio-markers.

Keywords

References

  1. Adachi K, Kawano H, Tsuno K, Nomura Y, Katsura N, Arikawa A, Tsuji A, Onimaru T (1997): Values of the serum components in Japanese black beef steers at farms with high productivity and low frequencies of disease and death in Miyazaki prefecture. J Vet Med Sci 59:873-877. https://doi.org/10.1292/jvms.59.873
  2. Ahmed M, Bergsten P (2005): Glucose-induced changes of multiple mouse islet proteins analysed by two-dimensional gel electrophoresis and mass spectrometry. Diabetologica 48:477-485. https://doi.org/10.1007/s00125-004-1661-7
  3. Hauck SM, Schoeffmann S, Deeg CA, Gloeckner CJ, Swiatek-de Lange M, Ueffing M (2005): Proteomic analysis of the porcine interphotoreceptor matrix. Proteomics 5:3623-3636. https://doi.org/10.1002/pmic.200401223
  4. Huang SY, Lin JH, Chen YH, Chuang Ck, Lin EC, Huang MC, Sunny Sun HF, Lee WC (2005): A reference map and identification of porcine testis proteins using 2-DE and MS. Proteomics 5:4205-4212. https://doi.org/10.1002/pmic.200401284
  5. Hellman U, Wernstedt C, Gonez J, Heldin CH (1995): Improvement of an "In-Gel" digestion procedure fo the micropreparation of internal protein fragments for amino acid sequencing. Anal Biochem 224:451-455. https://doi.org/10.1006/abio.1995.1070
  6. Landry F, Lombardo CR, Smith JW (2000): A method for application of samples to matrix-assisted laser desorption ionization time-of-flight targets that enhances peptide detection. Anal Biochem 279: 1-8. https://doi.org/10.1006/abio.1999.4468
  7. Manaskova P, Rylava H, Ticha M, Jonakova V (2002): Characterization of proteins from boar prostate. Am J Reprod Immunol 48:283-290. https://doi.org/10.1034/j.1600-0897.2002.01138.x
  8. Miller I, Wait R, Sipos W, Gemeiner M (2009): A proteomic reference map for pig serum proteins as a prerequisite for diagnostic applications. Res Vet Sci 86:362-327. https://doi.org/10.1016/j.rvsc.2008.05.018
  9. Park MR, Cho SK, Lee SY, Choi YJ, Park JY, Kwan DN, Son WJ, Paik SS, Kim T, Han YM, Kim JH (2005): A rare and often unrecognized cerebromemingitis and hemodynamic disorder: a major cause of sudden death in somatic cell cloned piglets. Proteomics 5:1928-1939. https://doi.org/10.1002/pmic.200401079
  10. Parekh RB, Dwek RA, Sutton BJ, Fernandes DL, Leung A, Stanworth D, Rademacher TW, Mizuochi T, Taniguchi T, Matsuta K (1985): Association of rheumatoid arthritis and primary osteoarthritis with change in the glycosylation pattern of total serum IgG. Nature 316:452-457. https://doi.org/10.1038/316452a0
  11. Rodriguez JM, Salas ML, Santarén JF (2001): African swine fever virus-induced polypeptides in porcine alveolar macrophage and in Vero cells: twodimensional gel analysis. Proteomics 1:1447-1456. https://doi.org/10.1002/1615-9861(200111)1:11<1447::AID-PROT1447>3.0.CO;2-Y
  12. Wang M, You J, Bemis KG, Tegeler TJ, Brown DP. (2008): Label-free mass spectrometry-based protein quantification technologies in proteomic analysis. Brief. Funct Genomic Proteomic 7:329-339. https://doi.org/10.1093/bfgp/eln031