4.7 Article

Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

Journal

SCIENTIFIC REPORTS
Volume 5, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/srep15145

Keywords

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Funding

  1. Berg postdoc fellowship
  2. Berg Pharma
  3. Fondation Leducq Understanding coronary artery disease genes grant
  4. Common Fund of the Office of the Director of the National Institutes of Health
  5. NCI
  6. NHGRI
  7. NHLBI
  8. NIDA
  9. NIMH
  10. NINDS
  11. NCI\ SAIC-Frederick, Inc. [10XS171, 10XS170, X10S172]
  12. Laboratory, Data Analysis, and Coordinating Center (LDACC) [HHSN268201000029C]
  13. SAIC-F [10ST1035]
  14. supplements to University of Miami grants [DA006227, DA033684, N01MH000028]
  15. University of Geneva [MH090941, MH101814]
  16. University of Chicago [MH090951, MH090937, MH101820, MH101825]
  17. University of North Carolina - Chapel Hill [MH090936, MH101819]
  18. Harvard University [MH090948]
  19. Stanford University [MH101782]
  20. Washington University St Louis [MH101810]
  21. University of Pennsylvania [MH101822]

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Aging is one of the most important biological processes and is a known risk factor for many age-related diseases in human. Studying age-related transcriptomic changes in tissues across the whole body can provide valuable information for a holistic understanding of this fundamental process. In this work, we catalogue age-related gene expression changes in nine tissues from nearly two hundred individuals collected by the Genotype-Tissue Expression (GTEx) project. In general, we find the aging gene expression signatures are very tissue specific. However, enrichment for some well-known aging components such as mitochondria biology is observed in many tissues. Different levels of cross-tissue synchronization of age-related gene expression changes are observed, and some essential tissues (e.g., heart and lung) show much stronger co-aging than other tissues based on a principal component analysis. The aging gene signatures and complex disease genes show a complex overlapping pattern and only in some cases, we see that they are significantly overlapped in the tissues affected by the corresponding diseases. In summary, our analyses provide novel insights to the co-regulation of age-related gene expression in multiple tissues; it also presents a tissue-specific view of the link between aging and age-related diseases.

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