Meta-analysis of age-related gene expression profiles identifies common signatures of aging
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Abstract
MOTIVATION: Numerous microarray studies of aging have been conducted, yet given the noisy nature of gene expression changes with age, elucidating the transcriptional features of aging and how these relate to physiological, biochemical and pathological changes remains a critical problem. RESULTS: We performed a meta-analysis of age-related gene expression profiles using 27 datasets from mice, rats and humans. Our results reveal several common signatures of aging, including 56 genes consistently overexpressed with age, the most significant of which was APOD, and 17 genes underexpressed with age. We characterized the biological processes associated with these signatures and found that age-related gene expression…
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Keywords
- Biology
- Gene
- Senescence
- Gene expression
- Microarray analysis techniques
- Microarray
- Gene expression profiling
- Genetics
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