4.6 Article

Phosphoproteomic analysis of cells treated with longevity-related autophagy inducers

Journal

CELL CYCLE
Volume 11, Issue 9, Pages 1827-1840

Publisher

TAYLOR & FRANCIS INC
DOI: 10.4161/cc.20233

Keywords

autophagy; longevity; resveratrol; spermidine; protein phosphorylation; signaling networks; probabilistic kinase-substrate network analysis; quantitative proteomics

Categories

Funding

  1. European Community [HEALTH-F4-2007-200767]
  2. Syddansk Universitets Forskningsfond
  3. Danish Ministry of Science, Technology and Innovation by the EliteResearch
  4. Ligue Nationale contre le Cancer (Equipes labelisee)
  5. Agence Nationale pour la Recherche (ANR)
  6. European Commission (ArtForce, ApopTrain, ChemoRes)
  7. Fondation pour la Recherche Medicale (FRM)
  8. Institut National du Cancer (INCa)
  9. Canceropole Ile-de-France
  10. AXA Chair for Longevity Research

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Macroautophagy is a self-cannibalistic process that enables cells to adapt to various stresses and maintain energy homeostasis. Additionally, autophagy is an important route for turnover of misfolded proteins and damaged organelles, with important implications in cancer, neurodegenerative diseases and aging. Resveratrol and spermidine are able to induce autophagy by affecting deacetylases and acetylases, respectively, and have been found to extend the lifespan of model organisms. With the aim to reveal the signaling networks involved in this drug-induced autophagic response, we quantified resveratrol and spermidine-induced changes in the phosphoproteome using SILAC and mass spectrometry. The data were subsequently analyzed using the NetworKIN algorithm to extract key features of the autophagy-responsive kinase-substrate network. We found that two distinct sequence motifs were highly responsive to resveratrol and spermidine and that key proteins modulating the acetylation, phosphorylation, methylation and ubiquitination status were affected by changes in phosphorylation during the autophagic response. Essential parts of the apoptotic signaling network were subjected to posttranslational modifications during the drug-induced autophagy response, suggesting potential crosstalk and balancing between autophagy and apoptosis. Additionally, we predicted cellular signaling networks affected by resveratrol and spermidine using a computational framework. Altogether, these results point to a profound crosstalk between distinct networks of posttranslational modifications and provide a resource for future analysis of autophagy and cell death.

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