Literature DB >> 17142811

Quantitative transcriptional control of ErbB receptor signaling undergoes graded to biphasic response for cell differentiation.

Takeshi Nagashima1, Hidetoshi Shimodaira, Kaori Ide, Takashi Nakakuki, Yukitaka Tani, Kaoru Takahashi, Noriko Yumoto, Mariko Hatakeyama.   

Abstract

ErbB receptor ligands, epidermal growth factor (EGF) and heregulin (HRG), induce dose-dependent transient and sustained intracellular signaling, proliferation, and differentiation of MCF-7 breast cancer cells, respectively. In an effort to delineate the ligand-specific cell determination mechanism, we investigated time course gene expressions induced by EGF and HRG that induce distinct cellular phenotypes in MCF-7 cells. To analyze independently the effects of ligand dosage and time for gene expression, we developed a statistical method for estimating the two effects. Our results indicated that signal transduction pathways convey quantitative properties of the dose-dependent activation of ErbB receptor to early transcription. The results also implied that moderate changes in the expression levels of a number of genes, not the predominant regulation of a few specific genes, might cooperatively work at the early stage of the transcription for determining cell fate. However, the EGF- and HRG-induced distinct signal durations resulted in the ligand-oriented biphasic induction of proteins after 20 min. The selected gene list and HRG-induced prolonged signaling suggested that transcriptional feedback to the intracellular signaling results in a graded to biphasic response in the cell determination process and that each ErbB receptor is inextricably responsible for the control of amplitude and duration of cellular biochemical reactions.

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Year:  2006        PMID: 17142811     DOI: 10.1074/jbc.M608653200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  75 in total

1.  Statistical significance of combinatorial regulations.

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-23       Impact factor: 11.205

2.  Raman spectral dynamics of single cells in the early stages of growth factor stimulation.

Authors:  Sota Takanezawa; Shin-ichi Morita; Yukihiro Ozaki; Yasushi Sako
Journal:  Biophys J       Date:  2015-05-05       Impact factor: 4.033

3.  Raman and autofluorescence spectrum dynamics along the HRG-induced differentiation pathway of MCF-7 cells.

Authors:  Shin-ichi Morita; Sota Takanezawa; Michio Hiroshima; Toshiyuki Mitsui; Yukihiro Ozaki; Yasushi Sako
Journal:  Biophys J       Date:  2014-11-18       Impact factor: 4.033

4.  Fundamental limitation of the instantaneous approximation in fold-change detection models.

Authors:  Maja Skataric; Evgeni V Nikolaev; Eduardo D Sontag
Journal:  IET Syst Biol       Date:  2015-02       Impact factor: 1.615

5.  Simulation and visualization of multiple KEGG pathways using BioNSi.

Authors:  Adva Yeheskel; Adam Reiter; Metsada Pasmanik-Chor; Amir Rubinstein
Journal:  F1000Res       Date:  2017-12-11

6.  Inferring cluster-based networks from differently stimulated multiple time-course gene expression data.

Authors:  Yuichi Shiraishi; Shuhei Kimura; Mariko Okada
Journal:  Bioinformatics       Date:  2010-03-11       Impact factor: 6.937

Review 7.  The Alpha Project: a model system for systems biology research.

Authors:  R C Yu; O Resnekov; A P Abola; S S Andrews; K R Benjamin; J Bruck; I E Burbulis; A Colman-Lerner; D Endy; A Gordon; M Holl; L Lok; C G Pesce; E Serra; R D Smith; T M Thomson; A E Tsong; R Brent
Journal:  IET Syst Biol       Date:  2008-09       Impact factor: 1.615

8.  Recursive regularization for inferring gene networks from time-course gene expression profiles.

Authors:  Teppei Shimamura; Seiya Imoto; Rui Yamaguchi; André Fujita; Masao Nagasaki; Satoru Miyano
Journal:  BMC Syst Biol       Date:  2009-04-22

9.  Ligand-specific sequential regulation of transcription factors for differentiation of MCF-7 cells.

Authors:  Yuko Saeki; Takaho Endo; Kaori Ide; Takeshi Nagashima; Noriko Yumoto; Tetsuro Toyoda; Harukazu Suzuki; Yoshihide Hayashizaki; Yoshiyuki Sakaki; Mariko Okada-Hatakeyama
Journal:  BMC Genomics       Date:  2009-11-20       Impact factor: 3.969

10.  Negative feedback that improves information transmission in yeast signalling.

Authors:  Richard C Yu; C Gustavo Pesce; Alejandro Colman-Lerner; Larry Lok; David Pincus; Eduard Serra; Mark Holl; Kirsten Benjamin; Andrew Gordon; Roger Brent
Journal:  Nature       Date:  2008-12-11       Impact factor: 49.962

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