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Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation.

Anna RodinaChao XuChander S DigwalSuhasini JoshiYogita PatelAnand R SanthaseelaSadik BaySwathi MeruguAftab AlamPengrong YanChenghua YangTanaya RoychowdhuryPalak PanchalLiza ShresthaYanlong KangSahil SharmaJustina AlmodovarAdriana CorbenMary L AlpaughShanu ModiMonica L GuzmanTeng FeiTony TaldoneStephen D GinsbergHediye Erdjument-BromageThomas A NeubertKatia Manova-TodorovaMeng-Fu Bryan TsouJason C YoungTai WangGabriela Chiosis
Published in: Nature communications (2023)
Systems-level assessments of protein-protein interaction (PPI) network dysfunctions are currently out-of-reach because approaches enabling proteome-wide identification, analysis, and modulation of context-specific PPI changes in native (unengineered) cells and tissues are lacking. Herein, we take advantage of chemical binders of maladaptive scaffolding structures termed epichaperomes and develop an epichaperome-based 'omics platform, epichaperomics, to identify PPI alterations in disease. We provide multiple lines of evidence, at both biochemical and functional levels, demonstrating the importance of these probes to identify and study PPI network dysfunctions and provide mechanistically and therapeutically relevant proteome-wide insights. As proof-of-principle, we derive systems-level insight into PPI dysfunctions of cancer cells which enabled the discovery of a context-dependent mechanism by which cancer cells enhance the fitness of mitotic protein networks. Importantly, our systems levels analyses support the use of epichaperome chemical binders as therapeutic strategies aimed at normalizing PPI networks.
Keyphrases
  • protein protein
  • small molecule
  • high throughput
  • gene expression
  • physical activity
  • oxidative stress
  • cell cycle
  • squamous cell
  • cell death
  • amino acid
  • fluorescence imaging