Literature DB >> 21741466

Simulation of the Ras/cAMP/PKA pathway in budding yeast highlights the establishment of stable oscillatory states.

Dario Pescini1, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri, Loredana Amigoni, Sonia Colombo, Enzo Martegani.   

Abstract

In the yeast Saccharomyces cerevisiae, the Ras/cAMP/PKA pathway plays a major role in the regulation of metabolism, stress resistance and cell cycle progression. We extend here a mechanistic model of the Ras/cAMP/PKA pathway that we previously defined by describing the molecular interactions and post-translational modifications of proteins, and perform a computational analysis to investigate the dynamical behaviors of the components of this pathway, regulated by different control mechanisms. We carry out stochastic simulations to consider, in particular, the effect of the negative feedback loops on the activity of both Ira2 (a Ras-GAP) and Cdc25 (a Ras-GEF) proteins. Our results show that stable oscillatory regimes for the dynamics of cAMP can be obtained only through the activation of these feedback mechanisms, and when the amount of Cdc25 is within a specific range. In addition, we highlight that the levels of guanine nucleotides pools are able to regulate the pathway, by influencing the transition between stable steady states and oscillatory regimes.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21741466     DOI: 10.1016/j.biotechadv.2011.06.014

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  10 in total

1.  Coupled feedback loops control the stimulus-dependent dynamics of the yeast transcription factor Msn2.

Authors:  Yanfei Jiang; Zohreh AkhavanAghdam; Lev S Tsimring; Nan Hao
Journal:  J Biol Chem       Date:  2017-06-21       Impact factor: 5.157

2.  The role of feedback control mechanisms on the establishment of oscillatory regimes in the Ras/cAMP/PKA pathway in S. cerevisiae.

Authors:  Daniela Besozzi; Paolo Cazzaniga; Dario Pescini; Giancarlo Mauri; Sonia Colombo; Enzo Martegani
Journal:  EURASIP J Bioinform Syst Biol       Date:  2012-07-20

3.  Complex regulation of Hsf1-Skn7 activities by the catalytic subunits of PKA in Saccharomyces cerevisiae: experimental and computational evidences.

Authors:  Sergio Pérez-Landero; Santiago Sandoval-Motta; Claudia Martínez-Anaya; Runying Yang; Jorge Luis Folch-Mallol; Luz María Martínez; Larissa Ventura; Karina Guillén-Navarro; Maximino Aldana-González; Jorge Nieto-Sotelo
Journal:  BMC Syst Biol       Date:  2015-07-27

4.  LASSIE: simulating large-scale models of biochemical systems on GPUs.

Authors:  Andrea Tangherloni; Marco S Nobile; Daniela Besozzi; Giancarlo Mauri; Paolo Cazzaniga
Journal:  BMC Bioinformatics       Date:  2017-05-10       Impact factor: 3.169

5.  LoTo: a graphlet based method for the comparison of local topology between gene regulatory networks.

Authors:  Alberto J Martin; Sebastián Contreras-Riquelme; Calixto Dominguez; Tomas Perez-Acle
Journal:  PeerJ       Date:  2017-02-28       Impact factor: 2.984

6.  Determination of the Global Pattern of Gene Expression in Yeast Cells by Intracellular Levels of Guanine Nucleotides.

Authors:  Andy Hesketh; Marta Vergnano; Stephen G Oliver
Journal:  mBio       Date:  2019-01-22       Impact factor: 7.867

7.  Modeling and analysis of the macronutrient signaling network in budding yeast.

Authors:  Amogh P Jalihal; Pavel Kraikivski; T M Murali; John J Tyson
Journal:  Mol Biol Cell       Date:  2021-09-08       Impact factor: 4.138

8.  A mathematical model captures the role of adenyl cyclase Cyr1 and guanidine exchange factor Ira2 in creating a growth-to-hyphal bistable switch in Candida albicans.

Authors:  K Sriram
Journal:  FEBS Open Bio       Date:  2022-08-30       Impact factor: 2.792

9.  cuTauLeaping: a GPU-powered tau-leaping stochastic simulator for massive parallel analyses of biological systems.

Authors:  Marco S Nobile; Paolo Cazzaniga; Daniela Besozzi; Dario Pescini; Giancarlo Mauri
Journal:  PLoS One       Date:  2014-03-24       Impact factor: 3.240

10.  Graphlet Based Metrics for the Comparison of Gene Regulatory Networks.

Authors:  Alberto J M Martin; Calixto Dominguez; Sebastián Contreras-Riquelme; David S Holmes; Tomas Perez-Acle
Journal:  PLoS One       Date:  2016-10-03       Impact factor: 3.240

  10 in total

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