Martinez-Guimera2017 - Generic redox signalling model with negative feedback regulation (Model 2)

  public model
Model Identifier
MODEL2001080001
Short description
Martinez-Guimera2017 - Generic redox signalling model with negative feedback regulation (Model 2)

This model is described in the article:

Martinez Guimera A, Welsh CM, Proctor CJ, McArdle A, Shanley DP.
Mech. Ageing Dev. 2017 Nov; :

Abstract:

The ability of reactive oxygen species (ROS) to cause molecular damage has meant that chronic oxidative stress has been mostly studied from the point of view of being a source of toxicity to the cell. However, the known duality of ROS molecules as both damaging agents and cellular redox signals implies another perspective in the study of sustained oxidative stress. This is a perspective of studying oxidative stress as a constitutive signal within the cell. In this work, we adopt a theoretical perspective as an exploratory and explanatory approach to examine how chronic oxidative stress can interfere with signal processing by redox signalling pathways in the cell. We report that constitutive signals can give rise to a 'molecular habituation' effect that can prime for a gradual loss of biological function. This is because a constitutive signal in the environment has the potential to reduce the responsiveness of a signalling pathway through the prolonged activation of negative regulators. Additionally, we demonstrate how this phenomenon is likely to occur in different signalling pathways exposed to persistent signals and furthermore at different levels of biological organisation.

This model is hosted on BioModels Database and identified by: MODEL1710260001.

To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8.

To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Format
SBML (L2V4)
Related Publication
  • 'Molecular habituation' as a potential mechanism of gradual homeostatic loss with age.
  • Martinez Guimera A, Welsh CM, Proctor CJ, McArdle A, Shanley DP
  • Mechanisms of ageing and development , 1/ 2018 , Volume 169 , pages: 53-62 , PubMed ID: 29146308
  • Institute for Cell and Molecular Biosciences (ICaMB), Ageing Research Laboratories, Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne, NE4 5PL,United Kingdom; MRC/Arthritis Research UK Centre for Musculoskeletal Ageing (CIMA), United Kingdom.
  • The ability of reactive oxygen species (ROS) to cause molecular damage has meant that chronic oxidative stress has been mostly studied from the point of view of being a source of toxicity to the cell. However, the known duality of ROS molecules as both damaging agents and cellular redox signals implies another perspective in the study of sustained oxidative stress. This is a perspective of studying oxidative stress as a constitutive signal within the cell. In this work, we adopt a theoretical perspective as an exploratory and explanatory approach to examine how chronic oxidative stress can interfere with signal processing by redox signalling pathways in the cell. We report that constitutive signals can give rise to a 'molecular habituation' effect that can prime for a gradual loss of biological function. This is because a constitutive signal in the environment has the potential to reduce the responsiveness of a signalling pathway through the prolonged activation of negative regulators. Additionally, we demonstrate how this phenomenon is likely to occur in different signalling pathways exposed to persistent signals and furthermore at different levels of biological organisation.
Contributors
Naveena Kandasamy

Metadata information


Curation status
Non-curated

Tags
Name Description Size Actions

Model files

model2.xml SBML L2V4 40.08 KB Preview | Download

Additional files

model2.cps Model 2 COPASI file 97.97 KB Preview | Download
model2.png PNG plot graph of model simulation 57.85 KB Preview | Download

  • Model originally submitted by : Naveena Kandasamy
  • Submitted: 08-Jan-2020 08:11:19
  • Last Modified: 08-Jan-2020 08:11:19
Revisions
  • Version: 2 public model Download this version
    • Submitted on: 08-Jan-2020 08:11:19
    • Submitted by: Naveena Kandasamy
    • With comment: Model 2 in Biomodel database does not reproduce the results as per the published paper. we had altered the chemical reaction to get the simulation graph as that of the published paper. we can able to reproduce the Negative regulation data.
Legends
: Variable used inside SBML models


Species
No records to display
Reactions
No records to display