Literature DB >> 19254534

Quantitative modeling and analysis of the transforming growth factor beta signaling pathway.

Seung-Wook Chung1, Fayth L Miles, Robert A Sikes, Carlton R Cooper, Mary C Farach-Carson, Babatunde A Ogunnaike.   

Abstract

Transforming growth factor beta (TGF-beta) signaling, which regulates multiple cellular processes including proliferation, apoptosis, and differentiation, plays an important but incompletely understood role in normal and cancerous tissues. For instance, although TGF-beta functions as a tumor suppressor in the premalignant stages of tumorigenesis, paradoxically, it also seems to act as a tumor promoter in advanced cancer leading to metastasis. The mechanisms by which TGF-beta elicits such diverse responses during cancer progression are still not entirely clear. As a first step toward understanding TGF-beta signaling quantitatively, we have developed a comprehensive, dynamic model of the canonical TGF-beta pathway via Smad transcription factors. By describing how an extracellular signal of the TGF-beta ligand is sensed by receptors and transmitted into the nucleus through intracellular Smad proteins, the model provides quantitative insight into how TGF-beta-induced responses are modulated and regulated. Subsequent model analysis shows that mechanisms associated with Smad activation by ligand-activated receptor, nuclear complex formation among Smad proteins, and inactivation of ligand-activated Smad (e.g., degradation, dephosphorylation) may be critical for regulating TGF-beta-targeted functional responses. The model was also used to predict dynamic characteristics of the Smad-mediated pathway in abnormal cells, from which we generated four testable hypotheses regarding potential mechanisms by which TGF-beta's tumor-suppressive roles may appear to morph into tumor-promotion during cancer progression.

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Year:  2009        PMID: 19254534      PMCID: PMC2717289          DOI: 10.1016/j.bpj.2008.11.050

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  68 in total

Review 1.  Signaling of transforming growth factor-beta family members through Smad proteins.

Authors:  S Itoh; F Itoh; M J Goumans; P Ten Dijke
Journal:  Eur J Biochem       Date:  2000-12

2.  An extended bipartite nuclear localization signal in Smad4 is required for its nuclear import and transcriptional activity.

Authors:  Zhan Xiao; Robert Latek; Harvey F Lodish
Journal:  Oncogene       Date:  2003-02-20       Impact factor: 9.867

Review 3.  Mechanisms of TGF-beta signaling from cell membrane to the nucleus.

Authors:  Yigong Shi; Joan Massagué
Journal:  Cell       Date:  2003-06-13       Impact factor: 41.582

4.  Structural basis of heteromeric smad protein assembly in TGF-beta signaling.

Authors:  Benoy M Chacko; Bin Y Qin; Ashutosh Tiwari; Genbin Shi; Suvana Lam; Lawrence J Hayward; Mark De Caestecker; Kai Lin
Journal:  Mol Cell       Date:  2004-09-10       Impact factor: 17.970

5.  Hematopoiesis controlled by distinct TIF1gamma and Smad4 branches of the TGFbeta pathway.

Authors:  Wei He; David C Dorn; Hediye Erdjument-Bromage; Paul Tempst; Malcolm A S Moore; Joan Massagué
Journal:  Cell       Date:  2006-06-02       Impact factor: 41.582

6.  PPM1A functions as a Smad phosphatase to terminate TGFbeta signaling.

Authors:  Xia Lin; Xueyan Duan; Yao-Yun Liang; Ying Su; Katharine H Wrighton; Jianyin Long; Min Hu; Candi M Davis; Jinrong Wang; F Charles Brunicardi; Yigong Shi; Ye-Guang Chen; Anming Meng; Xin-Hua Feng
Journal:  Cell       Date:  2006-06-02       Impact factor: 41.582

7.  Transforming growth factor-beta induces nuclear import of Smad3 in an importin-beta1 and Ran-dependent manner.

Authors:  A Kurisaki; S Kose; Y Yoneda; C H Heldin; A Moustakas
Journal:  Mol Biol Cell       Date:  2001-04       Impact factor: 4.138

8.  Transforming growth factor-beta (TGF-beta)-induced down-regulation of cyclin A expression requires a functional TGF-beta receptor complex. Characterization of chimeric and truncated type I and type II receptors.

Authors:  X H Feng; E H Filvaroff; R Derynck
Journal:  J Biol Chem       Date:  1995-10-13       Impact factor: 5.157

9.  Nucleocytoplasmic shuttling of Smads 2, 3, and 4 permits sensing of TGF-beta receptor activity.

Authors:  Gareth J Inman; Francisco J Nicolás; Caroline S Hill
Journal:  Mol Cell       Date:  2002-08       Impact factor: 17.970

10.  Ligand-dependent responses of the ErbB signaling network: experimental and modeling analyses.

Authors:  Marc R Birtwistle; Mariko Hatakeyama; Noriko Yumoto; Babatunde A Ogunnaike; Jan B Hoek; Boris N Kholodenko
Journal:  Mol Syst Biol       Date:  2007-11-13       Impact factor: 11.429

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  22 in total

1.  Trafficking coordinate description of intracellular transport control of signaling networks.

Authors:  Jose M G Vilar; Leonor Saiz
Journal:  Biophys J       Date:  2011-11-15       Impact factor: 4.033

2.  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

3.  Immune response modeling of interferon beta-pretreated influenza virus-infected human dendritic cells.

Authors:  Liang Qiao; Hannah Phipps-Yonas; Boris Hartmann; Thomas M Moran; Stuart C Sealfon; Fernand Hayot
Journal:  Biophys J       Date:  2010-02-17       Impact factor: 4.033

4.  Semi-adaptive response and noise attenuation in bone morphogenetic protein signalling.

Authors:  Tian Hong; Ernest S Fung; Lei Zhang; Grace Huynh; Edwin S Monuki; Qing Nie
Journal:  J R Soc Interface       Date:  2015-06-06       Impact factor: 4.118

Review 5.  The role of the microenvironment in tumor growth and invasion.

Authors:  Yangjin Kim; Magdalena A Stolarska; Hans G Othmer
Journal:  Prog Biophys Mol Biol       Date:  2011-06-28       Impact factor: 3.667

6.  Spatial aspects in the SMAD signaling pathway.

Authors:  J Claus; E Friedmann; U Klingmüller; R Rannacher; T Szekeres
Journal:  J Math Biol       Date:  2012-09-18       Impact factor: 2.259

7.  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

8.  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

9.  A control engineering approach to understanding the TGF-β paradox in cancer.

Authors:  Seung-Wook Chung; Carlton R Cooper; Mary C Farach-Carson; Babatunde A Ogunnaike
Journal:  J R Soc Interface       Date:  2011-12-21       Impact factor: 4.118

10.  Transformed epithelial cells and fibroblasts/myofibroblasts interaction in breast tumor: a mathematical model and experiments.

Authors:  Yangjin Kim; Julie Wallace; Fu Li; Michael Ostrowski; Avner Friedman
Journal:  J Math Biol       Date:  2009-11-10       Impact factor: 2.259

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