Aging in mouse brain is a cell/Tissue-level phenomenon exacerbated by proteasome loss

Journal of Proteome Research

Volumn 9, Issue 7, 2010, Pages 3551-3560

  Mao, Lei ^a   Römer, Irmgard ^a   Nebrich, Grit ^a   Klein, Oliver ^a   Koppelstätter, Andrea ^a   Hin, Sascha C ^a   Hartl, Daniela ^a   Zabel, Claus ^a  

^a CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

Author keywords

aging; mouse brain; proteasome; proteome; redundancy; reliability theory

Indexed keywords

PROTEASOME; PROTEIN; PROTEOME;

ADOLESCENT; AGED; AGING; ANIMAL TISSUE; ARTICLE; BRAIN DEVELOPMENT; CONTROLLED STUDY; EMBRYO; FEMALE; FETUS; MALE; MOUSE; NEWBORN; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN EXPRESSION; PROTEOMICS; REDUNDANCY ANALYSIS; ANALYSIS OF VARIANCE; ANIMAL; C57BL MOUSE; CHEMISTRY; MASS SPECTROMETRY; METABOLISM; PROCEDURES; REGRESSION ANALYSIS; TWO DIMENSIONAL GEL ELECTROPHORESIS;

AGING; ANALYSIS OF VARIANCE; ANIMALS; ELECTROPHORESIS, GEL, TWO-DIMENSIONAL; MICE; MICE, INBRED C57BL; PROTEASOME ENDOPEPTIDASE COMPLEX; PROTEINS; PROTEOME; PROTEOMICS; REGRESSION ANALYSIS; SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION;

EID: 77954374747     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr100059j     Document Type: Article

References (33)

1. Kowald, A. Lifespan does not measure ageing Biogerontology 2002, 3 (3) 187-90
2. Medvedev, Z. A. An attempt at a rational classification of theories of ageing Biol. Rev. Camb. Philos. Soc. 1990, 65 (3) 375-98
3. Reiss, U.; Gershon, D. Rat-liver superoxide dismutase. Purification and age-related modifications Eur. J. Biochem. 1976, 63 (2) 617-23
4. Sohal, R. S.; Farmer, K. J.; Allen, R. G.; Cohen, N. R. Effect of age on oxygen consumption, superoxide dismutase, catalase, glutathione, inorganic peroxides and chloroform-soluble antioxidants in the adult male housefly, Musca domestica Mech Ageing Dev 1984, 24 (2) 185-95
5. Vanella, A.; Geremia, E.; D'Urso, G.; Tiriolo, P.; Di Silvestro, I.; Grimaldi, R.; Pinturo, R. Superoxide dismutase activities in aging rat brain Gerontology 1982, 28 (2) 108-13
6. Barlow, R. E.; Proschan, F. Mathematical Theory of Reliability; SIAM: Philadelphia, 1996; Vol. 17.
7. Gnedenko, B.; Pavlov, I.; Ushakov, I. Statistical reliability engineering; Wiley: New York, 1999.
8. Gavrilov, L. A.; Gavrilova, N. S. The reliability-engineering approach to the problem of biological aging Ann. N.Y. Acad. Sci. 2004, 1019, 509-12
9. Gavrilov, L. A.; Gavrilova, N. S. The reliability theory of aging and longevity J. Theor. Biol. 2001, 213 (4) 527-45
10. Zabel, C.; Mao, L.; Woodman, B.; Rohe, M.; Wacker, M. A.; Klare, Y.; Koppelstatter, A.; Nebrich, G.; Klein, O.; Grams, S.; Strand, A.; Luthi-Carter, R.; Hartl, D.; Klose, J.; Bates, G. P. A large number of protein expression changes occur early in life and precede phenotype onset in a mouse model for huntington disease Mol. Cell. Proteomics 2009, 8 (4) 720-34
11. Zabel, C.; Klose, J. Protein extraction for 2DE Methods Mol. Biol. 2009, 519, 171-96
12. Finlay, B. L.; Darlington, R. B. Linked regularities in the development and evolution of mammalian brains Science 1995, 268 (5217) 1578-84
13. Hartl, D.; Irmler, M.; Romer, I.; Mader, M. T.; Mao, L.; Zabel, C.; de Angelis, M. H.; Beckers, J.; Klose, J. Transcriptome and proteome analysis of early embryonic mouse brain development Proteomics 2008, 8 (6) 1257-65
14. Diedrich, M.; Mao, L.; Bernreuther, C.; Zabel, C.; Nebrich, G.; Kleene, R.; Klose, J. Proteome analysis of ventral midbrain in MPTP-treated normal and L1cam transgenic mice Proteomics 2008, 8 (6) 1266-75
15. Nebrich, G.; Herrmann, M.; Sagi, D.; Klose, J.; Giavalisco, P. High MS-compatibility of silver nitrate-stained protein spots from 2-DE gels using ZipPlates and AnchorChips for successful protein identification Electrophoresis 2007, 19, 19
16. Brown, G. C. Total cell protein concentration as an evolutionary constraint on the metabolic control distribution in cells J. Theor. Biol. 1991, 153 (2) 195-203
17. Gompertz, B. On the nature of the function expressive of the law of human mortality and on a new mode of determining life contingencies Philos. Trans. R. Soc. London 1825, 115, 513-585
18. Snell, G. D. Biology of the Laboratory Mouse; Blakiston: Philadelphia, 1941.
19. Bronson, F. H.; Dagg, C. P.; Snell, G. D. Reproduction. In Biology of the Laboratory Mouse; Green, E. L., Ed.; Blakiston: New York, 1966.
20. Vacik, T.; Ort, M.; Gregorova, S.; Strnad, P.; Blatny, R.; Conte, N.; Bradley, A.; Bures, J.; Forejt, J. Segmental trisomy of chromosome 17: a mouse model of human aneuploidy syndromes Proc. Natl. Acad. Sci. U.S.A. 2005, 102 (12) 4500-5
21. Peleg, M.; Normand, M. D.; Campanella, O. H. Estimating microbial inactivation parameters from survival curves obtained under varying conditions - the linear case Bull. Math. Biol. 2003, 65 (2) 219-34
22. Gavrilov, L. A.; Gavrilova, N. S. Early-life programming of aging and longevity: the idea of high initial damage load (the HIDL hypothesis) Ann. N.Y. Acad. Sci. 2004, 1019, 496-501
23. Lee, C. K.; Weindruch, R.; Prolla, T. A. Gene-expression profile of the ageing brain in mice Nat. Genet. 2000, 25 (3) 294-7
24. Voges, D.; Zwickl, P.; Baumeister, W. The 26S proteasome: a molecular machine designed for controlled proteolysis Annu. Rev. Biochem. 1999, 68, 1015-68
25. Yorimitsu, T.; Klionsky, D. J. Autophagy: molecular machinery for self-eating Cell Death Differ. 2005, 12 (Suppl 2) 1542-52
26. Kowald, A.; Kirkwood, T. B. Explaining fruit fly longevity Science 1993, 260 (5114) 1664-5; author reply 1665-6
27. Kowald, A.; Kirkwood, T. B. Accuracy of tRNA charging and codon: anticodon recognition; relative importance for cellular stability J. Theor. Biol. 1993, 160 (4) 493-508
28. Bonifacino, J. S.; Weissman, A. M. Ubiquitin and the control of protein fate in the secretory and endocytic pathways Annu. Rev. Cell Dev. Biol. 1998, 14, 19-57
29. Kirkwood, T. B.; Kowald, A. Network theory of aging Exp. Gerontol. 1997, 32 (4-5) 395-9
30. Calabrese, B.; Shaked, G. M.; Tabarean, I. V.; Braga, J.; Koo, E. H.; Halpain, S. Rapid, concurrent alterations in pre- and postsynaptic structure induced by naturally-secreted amyloid-beta protein Mol. Cell. Neurosci. 2007, 35 (2) 183-93
31. Finley, D.; Bartel, B.; Varshavsky, A. The tails of ubiquitin precursors are ribosomal proteins whose fusion to ubiquitin facilitates ribosome biogenesis Nature 1989, 338 (6214) 394-401
32. Carmichael, P. L.; Hipkiss, A. R. Age-related changes in proteolysis of aberrant Crystallin in bovine lens cell-free preparations Mech. Ageing Dev. 1989, 50 (1) 37-48
33. Hartl, D.; Rohe, M.; Mao, L.; Staufenbiel, M.; Zabel, C.; Klose, J. Impairment of adolescent hippocampal plasticity in a mouse model for Alzheimer's disease precedes disease phenotype PLoS ONE 2008, 3 (7) e2759