Literature DB >> 15288690

Proteomic analysis of post-mitochondrial fractions of young and old rat kidney.

Chul Hong Kim1, Dae Ui Park, An Sung Chung, Yani Zou, Kyung Jin Jung, Bo Kyung Sung, Byung Pal Yu, Hae Young Chung.   

Abstract

Proteomic analysis is defined as the characterization of the entire set of proteins encoded by a genome. Two-dimensional (2D) electrophoresis and matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) are key technologies used in proteomic analysis to gain information about protein expression profiles and post-translational modifications. Knowledge about aging processes can be gained by recognizing changes in protein expression. Thus, to better understand the aging process through protein profiling, post-mitochondrial (PM) fractions of young (13-month) and old (31-month) male Fischer 344 rat kidney were differentially analyzed by 2D. We detected a total number of 380 spots on 2D gel images. Among them, 167 spots showed 2-fold significant alterations (p<0.05) between young and old PM fractions. Further, 103 proteins were identified by MALDI-TOF MS. The PM fraction of aged rat kidney showed increases in antioxidative and proteolytic proteins and decreases in cytoskeletal proteins. In addition, we found age-related changes in transport and homeostasis proteins. Thus, our results demonstrated that proteomic analysis can be effectively applied to the assessment of the age status of protein expression, and thereby provide valuable information on age-related changes of proteome.

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Year:  2004        PMID: 15288690     DOI: 10.1016/j.exger.2004.04.003

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  2 in total

1.  Proteomic study on gender differences in aging kidney of mice.

Authors:  Hanna Amelina; Susana Cristobal
Journal:  Proteome Sci       Date:  2009-04-09       Impact factor: 2.480

2.  Age-related subproteomic analysis of mouse liver and kidney peroxisomes.

Authors:  Jia Mi; Itsaso Garcia-Arcos; Ruben Alvarez; Susana Cristobal
Journal:  Proteome Sci       Date:  2007-11-27       Impact factor: 2.480

  2 in total

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