Literature DB >> 17186703

Systems theory of Smad signalling.

D C Clarke1, M D Betterton, X Liu.   

Abstract

Transforming growth factor-beta (TGFbeta) signalling is an important regulator of cellular growth and differentiation. The principal intracellular mediators of TGFbeta signalling are the Smad proteins, which upon TGFbeta stimulation accumulate in the nucleus and regulate the transcription of target genes. To investigate the mechanisms of Smad nuclear accumulation, we developed a simple mathematical model of canonical Smad signalling. The model was built using both published data and our experimentally determined cellular Smad concentrations (isoforms 2, 3 and 4). We found in mink lung epithelial cells that Smad2 (8.5-12 x 10(4) molecules cell(-1)) was present in similar amounts to Smad4 (9.3-12 x 10(4) molecules cell(-1)), whereas both were in excess of Smad3 (1.1-2.0 x 10(4) molecules cell(-1)). Variation of the model parameters and statistical analysis showed that Smad nuclear accumulation is most sensitive to parameters affecting the rates of R-Smad phosphorylation and dephosphorylation and Smad complex formation/ dissociation in the nucleus. Deleting Smad4 from the model revealed that rate-limiting phospho-R-Smad dephosphorylation could be an important mechanism for Smad nuclear accumulation. Furthermore, we observed that binding factors constitutively localised to the nucleus do not efficiently mediate Smad nuclear accumulation, if dephosphorylation is rapid. We therefore conclude that an imbalance in the rates of R-Smad phosphorylation and dephosphorylation is likely an important mechanism of Smad nuclear accumulation during TGFbeta signalling.

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Year:  2006        PMID: 17186703     DOI: 10.1049/ip-syb:20050055

Source DB:  PubMed          Journal:  Syst Biol (Stevenage)        ISSN: 1741-2471


  27 in total

1.  Computational modelling of Smad-mediated negative feedback and crosstalk in the TGF-β superfamily network.

Authors:  Daniel Nicklas; Leonor Saiz
Journal:  J R Soc Interface       Date:  2013-06-26       Impact factor: 4.118

2.  Literature-based automated reconstruction, expansion, and refinement of the TGF-β superfamily ligand-receptor network.

Authors:  Qian Mei; Leonor Saiz
Journal:  J Membr Biol       Date:  2014-03-02       Impact factor: 1.843

3.  An integrative modeling framework reveals plasticity of TGF-β signaling.

Authors:  Geoffroy Andrieux; Michel Le Borgne; Nathalie Théret
Journal:  BMC Syst Biol       Date:  2014-03-12

4.  Ablation of Smurf2 reveals an inhibition in TGF-β signalling through multiple mono-ubiquitination of Smad3.

Authors:  Liu-Ya Tang; Motozo Yamashita; Nathan P Coussens; Yi Tang; Xiangchun Wang; Cuiling Li; Chu-Xia Deng; Steven Y Cheng; Ying E Zhang
Journal:  EMBO J       Date:  2011-11-01       Impact factor: 11.598

5.  Measuring the absolute abundance of the Smad transcription factors using quantitative immunoblotting.

Authors:  David C Clarke; Xuedong Liu
Journal:  Methods Mol Biol       Date:  2010

6.  Systems biology of the clock in Neurospora crassa.

Authors:  Wubei Dong; Xiaojia Tang; Yihai Yu; Roger Nilsen; Rosemary Kim; James Griffith; Jonathan Arnold; H-Bernd Schüttler
Journal:  PLoS One       Date:  2008-08-29       Impact factor: 3.240

Review 7.  Decoding the quantitative nature of TGF-beta/Smad signaling.

Authors:  David C Clarke; Xuedong Liu
Journal:  Trends Cell Biol       Date:  2008-08-15       Impact factor: 20.808

8.  Transforming growth factor beta depletion is the primary determinant of Smad signaling kinetics.

Authors:  David C Clarke; Meredith L Brown; Richard A Erickson; Yigong Shi; Xuedong Liu
Journal:  Mol Cell Biol       Date:  2009-02-17       Impact factor: 4.272

9.  Axin and GSK3- control Smad3 protein stability and modulate TGF- signaling.

Authors:  Xing Guo; Alejandro Ramirez; David S Waddell; Zhizhong Li; Xuedong Liu; Xiao-Fan Wang
Journal:  Genes Dev       Date:  2008-01-01       Impact factor: 11.361

Review 10.  Informatics approaches to understanding TGFbeta pathway regulation.

Authors:  Pascal Kahlem; Stuart J Newfeld
Journal:  Development       Date:  2009-11       Impact factor: 6.868

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