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1.
Nature ; 433(7027): 764-9, 2005 Feb 17.
Article in English | MEDLINE | ID: mdl-15716956

ABSTRACT

The controls that enable melanoblasts and melanoma cells to proliferate are likely to be related, but so far no key regulator of cell cycle progression specific to the melanocyte lineage has been identified. The microphthalmia-associated transcription factor Mitf has a crucial but poorly defined role in melanoblast and melanocyte survival and in differentiation. Here we show that Mitf can act as a novel anti-proliferative transcription factor able to induce a G1 cell-cycle arrest that is dependent on Mitf-mediated activation of the p21(Cip1) (CDKN1A) cyclin-dependent kinase inhibitor gene. Moreover, cooperation between Mitf and the retinoblastoma protein Rb1 potentiates the ability of Mitf to activate transcription. The results indicate that Mitf-mediated activation of p21Cip1 expression and consequent hypophosphorylation of Rb1 will contribute to cell cycle exit and activation of the differentiation programme. The mutation of genes associated with melanoma, such as INK4a or BRAF that would affect either Mitf cooperation with Rb1 or Mitf stability respectively, would impair Mitf-mediated cell cycle control.


Subject(s)
Cell Cycle Proteins/genetics , Cell Cycle , DNA-Binding Proteins/metabolism , Retinoblastoma Protein/metabolism , Transcription Factors/metabolism , Transcriptional Activation , Animals , Base Sequence , Cell Cycle Proteins/metabolism , Cell Line, Tumor , Cells, Cultured , Chromatin Immunoprecipitation , Cyclin-Dependent Kinase Inhibitor p21 , DNA-Binding Proteins/genetics , Humans , Melanocytes/cytology , Melanocytes/metabolism , Melanoma/genetics , Melanoma/metabolism , Melanoma/pathology , Mice , Microphthalmia-Associated Transcription Factor , NIH 3T3 Cells , Phosphorylation , Protein Binding , Retinoblastoma Protein/genetics , Transcription Factors/genetics
2.
J Recept Signal Transduct Res ; 23(2-3): 197-209, 2003.
Article in English | MEDLINE | ID: mdl-14626447

ABSTRACT

Computer simulations and mathematical modeling of biological processes are becoming increasingly popular, and yet the complexity of the biochemical systems or the differences between experimental setups make it very difficult to establish a standard formula for these modeling projects. Before we can start using computer-based models for predictions or targeted experiment designs, it is very important to establish a reliable model on which those predictions can be based and experimentally tested. Here we attempt to present a computer model for the mitogen-activated protein kinase (MAPK) signaling cascade which is consistent with previously published experimental results. In this study we have focused our attention to a generic MAPK ERK (extracellular signal-regulated kinase) pathway activated by epidermal growth factor (EGF) in an attempt to understand how receptors may achieve different activation kinetics of the MAPK signaling. We successfully show that the level of receptor expression is one key determinant in this regulation, and that the binding affinity of the active receptor to adaptor proteins can have a small but albeit direct effect on the downstream activation.


Subject(s)
Computer Simulation , MAP Kinase Signaling System/physiology , Mitogen-Activated Protein Kinases/metabolism , Animals , Enzyme Activation , Epidermal Growth Factor/metabolism , ErbB Receptors/metabolism , Models, Biological , PC12 Cells , Rats , Software , Time Factors
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