Literature DB >> 22067145

Qualitative network modeling of the Myc-p53 control system of cell proliferation and differentiation.

Baltazar D Aguda1, Yangjin Kim, Hong Sug Kim, Avner Friedman, Howard A Fine.   

Abstract

A kinetic model of a molecular control system for the cellular decision to proliferate or differentiate is formulated and analyzed for the purpose of understanding how the system can break down in cancer cells. The proposed core of this control system is composed of the transcription factors Myc and p53. The network of interactions between these factors involves negative and positive feedback loops that are linked to pathways involved in differentiation, cell cycle, and apoptosis. Understanding the dynamics of the Myc-p53 control system is aided by the postulate that there exists a cancer zone defined as a range of oncogenic Myc activities where the probability of initiating cancer is high. We propose that an essential role of p53 is to prevent the system from entering or staying too long in the cancer zone by downregulating Myc or, when Myc activity somehow becomes too high, by inducing apoptosis, cell cycle arrest, or differentiation. Kinetic modeling illustrates how deletions or aberrations in PTEN, MDM2, and ARF (genes implicated in various cancers, including glioma) affect the Myc-p53 control system. In addition, computer simulations demonstrate how this control system generates different cellular phenotypes characterized by rates of cellular differentiation and proliferation.
Copyright © 2011 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22067145      PMCID: PMC3207173          DOI: 10.1016/j.bpj.2011.09.052

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


  57 in total

1.  c-Myc proteolysis by the ubiquitin-proteasome pathway: stabilization of c-Myc in Burkitt's lymphoma cells.

Authors:  M A Gregory; S R Hann
Journal:  Mol Cell Biol       Date:  2000-04       Impact factor: 4.272

2.  A structural analysis of the qualitative networks regulating the cell cycle and apoptosis.

Authors:  Baltazar D Aguda; Christopher K Algar
Journal:  Cell Cycle       Date:  2003 Nov-Dec       Impact factor: 4.534

3.  Core transcriptional regulatory circuitry in human embryonic stem cells.

Authors:  Laurie A Boyer; Tong Ihn Lee; Megan F Cole; Sarah E Johnstone; Stuart S Levine; Jacob P Zucker; Matthew G Guenther; Roshan M Kumar; Heather L Murray; Richard G Jenner; David K Gifford; Douglas A Melton; Rudolf Jaenisch; Richard A Young
Journal:  Cell       Date:  2005-09-23       Impact factor: 41.582

Review 4.  Transcriptional regulatory networks in embryonic stem cells.

Authors:  X Chen; V B Vega; H-H Ng
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2008-11-06

5.  Cooperativity within and among Pten, p53, and Rb pathways induces high-grade astrocytoma in adult brain.

Authors:  Lionel M L Chow; Raelene Endersby; Xiaoyan Zhu; Sherri Rankin; Chunxu Qu; Junyuan Zhang; Alberto Broniscer; David W Ellison; Suzanne J Baker
Journal:  Cancer Cell       Date:  2011-03-08       Impact factor: 31.743

Review 6.  Genetic pathways to primary and secondary glioblastoma.

Authors:  Hiroko Ohgaki; Paul Kleihues
Journal:  Am J Pathol       Date:  2007-05       Impact factor: 4.307

7.  Combinations of genetic mutations in the adult neural stem cell compartment determine brain tumour phenotypes.

Authors:  Thomas S Jacques; Alexander Swales; Monika J Brzozowski; Nico V Henriquez; Jacqueline M Linehan; Zaman Mirzadeh; Catherine O' Malley; Heike Naumann; Arturo Alvarez-Buylla; Sebastian Brandner
Journal:  EMBO J       Date:  2009-11-19       Impact factor: 11.598

Review 8.  PTEN signaling in brain: neuropathology and tumorigenesis.

Authors:  R Endersby; S J Baker
Journal:  Oncogene       Date:  2008-09-18       Impact factor: 9.867

9.  Ink4a-Arf loss cooperates with KRas activation in astrocytes and neural progenitors to generate glioblastomas of various morphologies depending on activated Akt.

Authors:  Lene Uhrbom; Chengkai Dai; Joseph C Celestino; Marc K Rosenblum; Gregory N Fuller; Eric C Holland
Journal:  Cancer Res       Date:  2002-10-01       Impact factor: 12.701

Review 10.  The PTEN, Mdm2, p53 tumor suppressor-oncoprotein network.

Authors:  Lindsey D Mayo; David B Donner
Journal:  Trends Biochem Sci       Date:  2002-09       Impact factor: 13.807

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  12 in total

1.  Do cells make decisions based on uncertainty in their biochemical networks?

Authors:  Pavel Kraikivski
Journal:  Biophys J       Date:  2013-05-21       Impact factor: 4.033

2.  USP10 antagonizes c-Myc transcriptional activation through SIRT6 stabilization to suppress tumor formation.

Authors:  Zhenghong Lin; Heeyoung Yang; Can Tan; Jinping Li; Zhaojian Liu; Qiu Quan; Sinyi Kong; Junsheng Ye; Beixue Gao; Deyu Fang
Journal:  Cell Rep       Date:  2013-12-12       Impact factor: 9.423

3.  Disease-associated c-MYC downregulation in human disorders of transcriptional regulation.

Authors:  Maria M Pallotta; Maddalena Di Nardo; Patrizia Sarogni; Ian D Krantz; Antonio Musio
Journal:  Hum Mol Genet       Date:  2022-05-19       Impact factor: 5.121

4.  Inter-cellular signaling network reveals a mechanistic transition in tumor microenvironment.

Authors:  Yu Wu; Lana X Garmire; Rong Fan
Journal:  Integr Biol (Camb)       Date:  2012-12       Impact factor: 2.192

5.  Cohesin is required for activation of MYC by estradiol.

Authors:  Miranda V McEwan; Michael R Eccles; Julia A Horsfield
Journal:  PLoS One       Date:  2012-11-08       Impact factor: 3.240

6.  Strategies in regulating glioblastoma signaling pathways and anti-invasion therapy.

Authors:  Eunok Jung; Aurelio A de Los Reyes V; Kurt Jan A Pumares; Yangjin Kim
Journal:  PLoS One       Date:  2019-04-22       Impact factor: 3.240

7.  Temozolomide suppresses MYC via activation of TAp63 to inhibit progression of human glioblastoma.

Authors:  Tomohiro Yamaki; Yusuke Suenaga; Toshihiko Iuchi; Jennifer Alagu; Atsushi Takatori; Makiko Itami; Akinobu Araki; Miki Ohira; Masahiro Inoue; Hajime Kageyama; Sana Yokoi; Naokatsu Saeki; Akira Nakagawara
Journal:  Sci Rep       Date:  2013-01-29       Impact factor: 4.379

8.  miR-375 activates p21 and suppresses telomerase activity by coordinately regulating HPV E6/E7, E6AP, CIP2A, and 14-3-3ζ.

Authors:  Hyun Min Jung; Brittany L Phillips; Edward Kl Chan
Journal:  Mol Cancer       Date:  2014-04-08       Impact factor: 27.401

9.  Malignancy of Cancers and Synthetic Lethal Interactions Associated With Mutations of Cancer Driver Genes.

Authors:  Xiaosheng Wang; Yue Zhang; Ze-Guang Han; Kun-Yan He
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

10.  Somatic polyploidy is associated with the upregulation of c-MYC interacting genes and EMT-like signature.

Authors:  Alejandro Vazquez-Martin; Olga V Anatskaya; Alessandro Giuliani; Jekaterina Erenpreisa; Sui Huang; Kristine Salmina; Inna Inashkina; Anda Huna; Nikolai N Nikolsky; Alexander E Vinogradov
Journal:  Oncotarget       Date:  2016-11-15
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