@article{e163c3f8d5624a30913a1152315e6e34,
title = "Phosphoproteomic analysis of cells treated with longevity-related autophagy inducers",
abstract = "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.",
keywords = "Autophagy, Longevity, Probabilistic kinase-substrate network analysis, Protein phosphorylation, Quantitative proteomics, Resveratrol, Signaling networks, Spermidine",
author = "Bennetzen, {Martin V.} and Guillermo Marino and Dennis Pultz and Eugenia Morselli and F{\ae}rgeman, {Nils J.} and Guido Kroemer and Andersen, {Jens S.}",
note = "Funding Information: To further study the resveratrol-and spermidine-induced This project was supported by European Community{\textquoteright}s Seventh autophagy response, we applied systems biology methods, thus Framework Program (FP7/2007-2013) under grant agreement n° applying unbiased statistics to an ensemble of regulatory events HEALTH-F4-2007-200767 for the collaborative project APO-with the objective of achieving a global snapshot of dynamic SYS (J.S.A. and G.K.). M.V.B. was supported by the Syddansk changes in cellular networks. Specifically, we used the versatile Universitets Forskningsfond and the Danish Ministry of Science, probabilistic modeling algorithms STRING and NetworKIN Technology and Innovation by the EliteResearch (“EliteForsk”) for network reconstruction. These modeling algorithms and bio-award 2010. G.K. was supported by the Ligue Nationale contre le informatic tools allowed us to analyze the (de)phosphorylation Cancer (Equipes labelis{\'e}e), Agence Nationale pour la Recherche events affecting five sub-proteomes, namely proteins involved in (ANR), European Commission (ArtForce, ApopTrain, protein acetylation, methylation, phosphorylation, dephosphory-ChemoRes), Fondation pour la Recherche M{\'e}dicale (FRM), lation and ubiquitination. These analyses suggest that networks Institut National du Cancer (INCa), Canc{\'e}rop{\^o}le Ile-de-France of proteins involved in multiple distinct posttranslational modi-and the AXA Chair for Longevity Research. fications intersect in a highly connective fashion, suggesting that acetylation-dependent changes [which are the prime targets of Note resveratrol and spermidine] are closely linked to (de)phosphory-Supplemental materials can be found at: lation-dependent signaling event, pointing to extensive crosstalk www.landesbioscience.com/journals/cc/article/20233",
year = "2012",
month = may,
day = "1",
doi = "10.4161/cc.20233",
language = "English",
volume = "11",
pages = "1827--1840",
journal = "Cell Cycle",
issn = "1538-4101",
number = "9",
}