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The self-limiting dynamics of TGF-ß signaling in silico and in vitro, with negative feedback through PPM1A upregulation.
Wang, Junjie; Tucker-Kellogg, Lisa; Ng, Inn Chuan; Jia, Ruirui; Thiagarajan, P S; White, Jacob K; Yu, Hanry.
Affiliation
  • Wang J; Computational and Systems Biology, Singapore-MIT Alliance, Singapore; Mechanobiology Institute, Singapore.
  • Tucker-Kellogg L; Computational and Systems Biology, Singapore-MIT Alliance, Singapore; Mechanobiology Institute, Singapore; Centre for Computational Biology, Duke-NUS Graduate Medical School, Singapore.
  • Ng IC; NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore.
  • Jia R; Department of Physiology, National University of Singapore, Singapore.
  • Thiagarajan PS; NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore; School of Computing, National University of Singapore, Singapore.
  • White JK; Computational and Systems Biology, Singapore-MIT Alliance, Singapore; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
  • Yu H; Computational and Systems Biology, Singapore-MIT Alliance, Singapore; Mechanobiology Institute, Singapore; NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore; Department of Physiology, National University of Singapore, Singapore; Department of Bi
PLoS Comput Biol ; 10(6): e1003573, 2014 Jun.
Article in En | MEDLINE | ID: mdl-24901250
ABSTRACT
The TGF-ß/Smad signaling system decreases its activity through strong negative regulation. Several molecular mechanisms of negative regulation have been published, but the relative impact of each mechanism on the overall system is unknown. In this work, we used computational and experimental methods to assess multiple negative regulatory effects on Smad signaling in HaCaT cells. Previously reported negative regulatory effects were classified by time-scale degradation of phosphorylated R-Smad and I-Smad-induced receptor degradation were slow-mode effects, and dephosphorylation of R-Smad was a fast-mode effect. We modeled combinations of these effects, but found no combination capable of explaining the observed dynamics of TGF-ß/Smad signaling. We then proposed a negative feedback loop with upregulation of the phosphatase PPM1A. The resulting model was able to explain the dynamics of Smad signaling, under both short and long exposures to TGF-ß. Consistent with this model, immuno-blots showed PPM1A levels to be significantly increased within 30 min after TGF-ß stimulation. Lastly, our model was able to resolve an apparent contradiction in the published literature, concerning the dynamics of phosphorylated R-Smad degradation. We conclude that the dynamics of Smad negative regulation cannot be explained by the negative regulatory effects that had previously been modeled, and we provide evidence for a new negative feedback loop through PPM1A upregulation. This work shows that tight coupling of computational and experiments approaches can yield improved understanding of complex pathways.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transforming Growth Factor beta / Phosphoprotein Phosphatases Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2014 Document type: Article Affiliation country: Singapore

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transforming Growth Factor beta / Phosphoprotein Phosphatases Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2014 Document type: Article Affiliation country: Singapore