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High-Throughput Proteomic-Based Identification of Oxidatively Induced Protein Carbonylation in Mouse Brain

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Abstract

Purpose. The major initiative of this study was to implement a novel proteomic approach in order to detect protein carbonylation in aged mouse brain. Several lines of evidence indicate that reactive oxygen species (ROS)-induced protein oxidation plays an essential role in the initiation of age-related neuropathologies. Therefore, the identification of free radical or peroxide substrates would provide further insight into key biochemical mechanisms that contribute to the progression of certain neurological disorders.

Methods. Historically, ROS targets have been identified by conventional immunological two-dimensional (2-D) gel electrophoresis and mass spectrometric analyses. However, specific classes of proteins, such as transmembrane-spanning proteins, high-molecular-weight proteins, and very acidic or basic proteins, are frequently excluded or underrepresented by these analyses. In order to fill this technologic gap, we have used a functional proteomics approach using a liquid chromatography tandem mass spectrometric (LC-MS/MS) analysis coupled with a hydrazide biotin-streptavidin methodology in order to identify protein carbonylation in aged mice.

Results. Our initial studies suggest an ability to identify at least 100 carbonylated proteins in a single LC-MS/MS experiment. In addition to high-abundance cytosolic proteins that have been previously identified by 2-D gel electrophoresis and mass spectrometric analyses, we are able to identify several low-abundance receptor proteins, mitochondrial proteins involved in glucose and energy metabolism, as well as a series of receptors and tyrosine phosphatases known to be associated with insulin and insulin-like growth factor metabolism and cell-signaling pathways.

Conclusions. Here we describe a rapid and sensitive proteomic analysis for the identification of carbonylated proteins in mouse brain homogenates through the conjunction of liquid chromatography and tandem mass spectrometry methods. We believe the ability to detect these post-translationally modified proteins specifically associated with brain impairments during the course of aging should allow one to more closely and objectively monitor the efficacy of various clinical treatments. In addition, the discovery of these unique brain biomarkers could also provide a conceptual framework for the future design of alternative drugs in the treatment of a variety of age-related neurodegenerative disorders.

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References

  1. E. R. Stadtman. Protein oxidation in aging and age-related diseases. Ann. N. Y. Acad. Sci. 928:22-38 (2001).

    Google Scholar 

  2. E. Shacter. Quantification and significance of protein oxidation in biological samples. Drug Metab. Rev. 32:307-326 (2000).

    Google Scholar 

  3. M. J. Picklo, T. J. Montine, V. Amarnath, and M. D. Neely. Carbonyl toxicology and Alzheimer's disease. Toxicol. Appl. Pharmacol. 184:187-197 (2002).

    Google Scholar 

  4. Y. H. Wei and H. C. Lee. Oxidative stress, mitochondrial DNA mutation, and impairment of antioxidant enzymes in aging. Exp. Biol. Med. 227:671-682 (2002).

    Google Scholar 

  5. M. A. Korolainen, G. Goldsteins, I. Alafuzoff, J. Koistinaho, and T. Pirttila. Proteomic analysis of protein oxidation in Alzheimer's disease brain. Electrophoresis 23:3428-3433 (2002).

    Google Scholar 

  6. G. Perry, A. Nunomura, K. Hirai, X. Zhu, M. Prez, J. Avila, R. J. Castellani, C. S. Atwood, G. Aliev, L. M. Sayre, A. Takeda, and M. A. Smith. Is oxidative damage the fundamental pathogenic mechanism of Alzheimer's and other neurodegenerative diseases? Free Radic. Biol. Med. 33:1475-1479 (2002).

    Google Scholar 

  7. J. W. Crabb, J. O'Neil, M. Miyagi, K. West, and H. F. Hoff. Hydroxynonenal inactivates cathepsin B by forming Michael adducts with active site residues. Protein Sci. 11:831-840 (2002).

    Google Scholar 

  8. J. N. Keller, R. J. Mark, A. J. Bruce, E. Blanc, J. D. Rothstein, K. Uchida, G. Waeg, and M. P. Mattson. 4-Hydroxynonenal, an aldehydic product of membrane lipid peroxidation, impairs glutamate transport and mitochondrial function in synaptosomes. Neuroscience 80:685-696 (1997).

    Google Scholar 

  9. D. A. Butterfield and J. Kanski. Brain protein oxidation in age-related neurodegenerative disorders that are associated with aggregated proteins. Mech. Ageing Dev. 122:945-962 (2001).

    Google Scholar 

  10. D. A. Butterfield, A. Castegna, C. M. Lauderback, and J. Drake. Evidence that amyloid beta-peptide-induced lipid peroxidation and its sequelae in Alzheimer's disease brain contribute to neuronal death. Neurobiol. Aging 23:655-664 (2002).

    Google Scholar 

  11. D. A. Butterfield and C. M. Lauderback. Lipid peroxidation and protein oxidation in Alzheimer's disease brain: potential causes and consequences involving amyloid beta-peptide-associated free radical oxidative stress. Free Radic. Biol. Med. 32:1050-1060 (2002).

    Google Scholar 

  12. M. V. Aksenova, M. Y. Aksenov, R. M. Payne, J. Q. Trojanowski, M. L. Schmidt, J. M. Carney, D. A. Butterfield, and W. R. Markesbery. Oxidation of cytosolic proteins and expression of creatine kinase BB in frontal lobe in different neurodegenerative disorders. Dement. Geriatr. Cogn. Disord. 10:158-165 (1999).

    Google Scholar 

  13. A. Castegna, M. Aksenov, V. Thongboonkerd, J. B. Klein, W. M. Pierce, R. Booze, W. R. Markesbery, and D. A. Butterfield. Proteomic identification of oxidatively modified proteins in Alzheimer's disease brain. Part II: dihydropyrimidinase-related protein 2, alpha-enolase and heat shock cognate 71. J. Neurochem. 82:1524-1532 (2002).

    Google Scholar 

  14. M. P. Washburn, D. Wolters, and J. R. Yates III. Large-scale analysis of the yeast proteome by multidimensional protein identification technology. Nat. Biotechnol. 19:242-247 (2001).

    Google Scholar 

  15. S. P. Gygi, G. L. Corthals, Y. Zhang, Y. Rochon, and R. Aebersold. Evaluation of two-dimensional gel electrophoresis-based proteome analysis technology. Proc. Natl. Acad. Sci. USA 97:9390-9395 (2000).

    Google Scholar 

  16. J. Peng and S. P. Gygi. Proteomics: the move to mixtures. J. Mass Spectrom. 36:1083-1091 (2001).

    Google Scholar 

  17. M. Y. Aksenov, M. V. Aksenova, D. A. Butterfield, J. W. Geddes, and W. R. Markesbery. Protein oxidation in the brain in Alzheimer's disease. Neuroscience 103:373-383 (2001).

    Google Scholar 

  18. T. Wataya, A. Nunomura, M. A. Smith, S. L. Siedlak, P. L. Harris, S. Shimohama, L. I. Szweda, M. A. Kaminski, J. Avila, D. L. Price, D. W. Cleveland, L. M. Sayre, and G. Perry. High molecular weight neurofilament proteins are physiological substrates of adduction by the lipid peroxidation product hydroxynonenal. J. Biol. Chem. 277:4644-4648 (2002).

    Google Scholar 

  19. S. Melov, P. E. Coskun, and D. C. Wallace. Mouse models of mitochondrial disease, oxidative stress, and senescence. Mutat. Res. 434:233-242 (1999).

    Google Scholar 

  20. L. A. Esposito, S. Melov, A. Panov, B. A. Cottrell, and D. C. Wallace. Mitochondrial disease in mouse results in increased oxidative stress. Proc. Natl. Acad. Sci. USA 96:4820-4825 (1999).

    Google Scholar 

  21. S. Melov, P. Coskun, M. Patel, R. Tuinstra, B. Cottrell, A. S. Jun, T. H. Zastawny, M. Dizdaroglu, S. I. Goodman, T. T. Huang, H. Miziorko, C. J. Epstein, and D. C. Wallace. Mitochondrial disease in superoxide dismutase 2 mutant mice. Proc. Natl. Acad. Sci. USA 96:846-851 (1999).

    Google Scholar 

  22. M. H. Lima, M. Ueno, A. C. Thirone, E. M. Rocha, C. R. Carvalho, and M. J. Saad. Regulation of IRS-1/SHP2 interaction and AKT phosphorylation in animal models of insulin resistance. Endocrine 18:1-12 (2002).

    Google Scholar 

  23. C. Lu, S. L. Chan, W. Fu, and M. P. Mattson. The lipid peroxidation product 4-hydroxynonenal facilitates opening of voltage-dependent Ca2+ channels in neurons by increasing protein tyrosine phosphorylation. J. Biol. Chem. 277:24368-24375 (2002).

    Google Scholar 

  24. C. M. Norris, S. Halpain, and T. C. Foster. Alterations in the balance of protein kinase/phosphatase activities parallel reduced synaptic strength during aging. J. Neurophysiol. 80:1567-1570 (1998).

    Google Scholar 

  25. D. Genoux, U. Haditsch, M. Knobloch, A. Michalon, D. Storm, and I. M. Mansuy. Protein phosphatase 1 is a molecular constraint on learning and memory. Nature 418:970-975 (2002).

    Google Scholar 

  26. S. P. Gygi, B. Rist, S. A. Gerber, F. Turecek, M. H. Gelb, and R. Aebersold. Quantitative analysis of complex protein mixtures using isotope-coded affinity tags. Nature Biotechnol. 10:994-999 (1999).

    Google Scholar 

  27. T. J. Griffin, C. M. Lock, X. J. Li, A. Patel, I. Chervetsova, H. Lee, M. E. Wright, J. A. Ranish, S. S. Chen, and R. Aebersold. Abundance ratio-dependent proteomic analysis by mass spectrometry. Anal. Chem. 75:867-874 (2003).

    Google Scholar 

  28. J. R. Requena, C. C. Chao, R. L. Levine, and E. R. Stadtman. Glutamic and aminoadipic semialdehydes are the main carbonyl products of metal-catalyzed oxidation of proteins. Proc. Natl. Acad. Sci. USA 98:69-74 (2001).

    Google Scholar 

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Correspondence to Austin J. Yang.

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Soreghan, B.A., Yang, F., Thomas, S.N. et al. High-Throughput Proteomic-Based Identification of Oxidatively Induced Protein Carbonylation in Mouse Brain. Pharm Res 20, 1713–1720 (2003). https://doi.org/10.1023/B:PHAM.0000003366.25263.78

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  • DOI: https://doi.org/10.1023/B:PHAM.0000003366.25263.78

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