Proteomic characterization of aging-driven changes in the mouse brain by co-expression network analysis
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ABSTRACT:
ORGANISM(S): Mus Musculus (mouse)
SUBMITTER: Kazuya Tsumagari
PROVIDER: PXD041485 | JPOST Repository | Fri Oct 20 00:00:00 BST 2023
REPOSITORIES: jPOST
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Project description:Development of a method to identify age-regulated expression trends in skeletql muscles and study the underlying molecular processes of the age_associated progressive changes in skeletal muscles. See abstract from associated manuscript below : Aging is characterized by progressive tissue degeneration and it is associated with genome-wide changes of mRNA expression profiles. Therefore, it is expected that age-regulated changes in expression profiles could describe the process of aging. We have developed a robust and unbiased methodology to identify age-regulated expression trends in cross-sectional data sets from healthy donors. Our analysis in four different tissues reveals that in brain cortex and Vastus lateralis muscles, two major age-associated expression inclinations were found, one during midlife and one in elderly. In kidney medulla and cortex, however, transcriptional changes were found only in elderly. In concurrence with increased degeneration in aged tissue, the elderly-associated expression changes are predominantly downwards. Our results suggest that a non-linear trend describes the aging process, and can be the result of inclinations of gene expression at two distinct age-positions affecting different molecular and cellular processes. RNA was extracted from vastus lateralis muscles. cDNA synthesis and labeling were preformed with the Illumina cDNA labeling kit.
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Project description:This study investigated proteome profile in the hippocampus, medial prefrontal cortex (mPFC), and striatum of 14, 18, 23, and 27 months old rats in order to see the effect of aging on proteins in these regions. Using ultrahigh performance liquid chromatography coupled with Q Exactive HF Orbitrap mass spectrometry, we identified 1074 proteins in the hippocampus, 871 proteins in the mPFC, and 241 proteins the striatum. Ninety-seven, 25, and 5 of these proteins were differentially expressed with age in the hippocampus, mPFC, and striatum, respectively. Overall, aging causes divergent protein changes in specific brain regions, with the most prominent changes observed in the late-aged.
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Project description:Development of a method to identify age-regulated expression trends in skeletql muscles and study the underlying molecular processes of the age_associated progressive changes in skeletal muscles. See abstract from associated manuscript below : Aging is characterized by progressive tissue degeneration and it is associated with genome-wide changes of mRNA expression profiles. Therefore, it is expected that age-regulated changes in expression profiles could describe the process of aging. We have developed a robust and unbiased methodology to identify age-regulated expression trends in cross-sectional data sets from healthy donors. Our analysis in four different tissues reveals that in brain cortex and Vastus lateralis muscles, two major age-associated expression inclinations were found, one during midlife and one in elderly. In kidney medulla and cortex, however, transcriptional changes were found only in elderly. In concurrence with increased degeneration in aged tissue, the elderly-associated expression changes are predominantly downwards. Our results suggest that a non-linear trend describes the aging process, and can be the result of inclinations of gene expression at two distinct age-positions affecting different molecular and cellular processes.
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