Meta-analysis of age-related gene expression profiles identifies common signatures of aging

Bioinformatics - Tập 25 Số 7 - Trang 875-881 - 2009
João Pedro de Magalhães1, João Curado1, George M. Church1
11 Department of Genetics, Harvard Medical School, Boston, MA 02115, USA and 2Escola Superior de Biotecnologia, 4200 Porto, Portugal

Tóm tắt

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 changes most notably involve an overexpression of inflammation and immune response genes and of genes associated with the lysosome. An underexpression of collagen genes and of genes associated with energy metabolism, particularly mitochondrial genes, as well as alterations in the expression of genes related to apoptosis, cell cycle and cellular senescence biomarkers, were also observed. By employing a new method that emphasizes sensitivity, our work further reveals previously unknown transcriptional changes with age in many genes, processes and functions. We suggest these molecular signatures reflect a combination of degenerative processes but also transcriptional responses to the process of aging. Overall, our results help to understand how transcriptional changes relate to the process of aging and could serve as targets for future studies. Availability:  http://genomics.senescence.info/uarrays/signatures.html Contact:  [email protected] Supplementary information:  Supplementary data are available at Bioinformatics online.

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Bioinformatics

Tập 25 Số 7

875-881

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