4.6 Article

Mixed-effects model of epithelial-mesenchymal transition reveals rewiring of signaling networks

Journal

CELLULAR SIGNALLING
Volume 27, Issue 7, Pages 1413-1425

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.cellsig.2015.03.024

Keywords

Mixed-effects modeling; EMT; Cellular signaling; Correlative networks

Categories

Funding

  1. National Institute of General Medical Sciences of the National Institutes of Health [R01GM112044]
  2. UTMB Clinical and Translational Science Award [UL1TR000071]
  3. NIAID Clinical Proteomics Center [HHSN272200800048C]
  4. NHLBI Proteomics Center for Airway Inflammation [NIH-NLBIHHSN268201000037C]
  5. NIEHS [P30 ES006676]
  6. Direct For Mathematical & Physical Scien
  7. Division Of Mathematical Sciences [1361411] Funding Source: National Science Foundation

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The type II epithelial-mesenchymal transition (EMT) produces airway fibrosis and remodeling, contributing to the severity of asthma and chronic obstructive pulmonary disease. While numerous studies have been done on the mechanisms of the transition itself, few studies have investigated the system effects of EMT on signaling networks. Here, we use mixed effects modeling to develop a computational model of phospho-protein signaling data that compares human small airway epithelial cells (hSAECs) with their EMT-transformed counterparts across a series of perturbations with 8 ligands and 5 inhibitors, revealing previously uncharacterized changes in signaling in the EMT state. Strong couplings between menadione, TNF alpha and TGF beta and their known phospho-substrates were revealed after mixed effects modeling. Interestingly, the overall phospho-protein response was attenuated in EMT, with loss of Mena and TNF alpha coupling to heat shock protein (HSP)-27. These differences persisted after correction for EMT-induced changes in phospho-protein substrate abundance. Construction of network topology maps showed significant changes between the two cellular states, including a linkage between glycogen synthase kinase (GSK)-3 alpha and small body size/mothers against decapentaplegic (SMAD)2. The model also predicted a loss of p38 mitogen activated protein kinase (p38MAPK)-independent HSP27 signaling, which we experimentally validated. We further characterized the relationship between HSP27 and signal transducers and activators of transcription (STAT)3 signaling, and determined that loss of HSP27 following EMT is only partially responsible for the downregulation of STAT3. These rewired connections represent therapeutic targets that could potentially reverse EMT and restore a normal phenotype to the respiratory mucosa. (C) 2015 Elsevier Inc All rights reserved.

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