Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A Reaction-Diffusion Model for Radiation-Induced Bystander Effects

View ORCID ProfileOluwole Olobatuyi, Gerda de Vries, View ORCID ProfileThomas Hillen
doi: https://doi.org/10.1101/094375
Oluwole Olobatuyi
Centre for Mathematical Biology, Mathematical and Statistical Sciences, University of Alberta, Edmonton, T6G2G1, Canada E-mail: E-mail: E-mail:
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Oluwole Olobatuyi
  • For correspondence: olobatuy@ualberta.ca gerda.devries@ualberta.ca thillen@ualberta.ca
Gerda de Vries
Centre for Mathematical Biology, Mathematical and Statistical Sciences, University of Alberta, Edmonton, T6G2G1, Canada E-mail: E-mail: E-mail:
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: olobatuy@ualberta.ca gerda.devries@ualberta.ca thillen@ualberta.ca
Thomas Hillen
Centre for Mathematical Biology, Mathematical and Statistical Sciences, University of Alberta, Edmonton, T6G2G1, Canada E-mail: E-mail: E-mail:
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Thomas Hillen
  • For correspondence: olobatuy@ualberta.ca gerda.devries@ualberta.ca thillen@ualberta.ca
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

We develop and analyze a reaction-diffusion model to investigate the dynamics of the lifespan of a bystander signal emitted when cells are exposed to radiation. Experimental studies by Mothersill and Seymour 1997, using malignant epithelial cell lines, found that an emitted bystander signal can still cause bystander effects in cells even 60h after its emission. Several other experiments have also shown that the signal can persist for months and even years. Also, bystander effects have been hypothesized as one of the factors responsible for the phenomenon of low-dose hyper-radiosensitivity and increased radioresistance (HRS/IRR). Here, we confirm this hypothesis with a mathematical model, which we fit to Joiner’s data on HRS/IRR in a T98G glioma cell line. Furthermore, we use phase plane analysis to understand the full dynamics of the signal’s lifespan. We find that both single and multiple radiation exposure can lead to bystander signals that either persist temporarily or permanently. We also found that, in an heterogeneous environment, the size of the domain exposed to radiation and the number of radiation exposures can determine whether a signal will persist temporarily or permanently. Finally, we use sensitivity analysis to identify those cell parameters that affect the signal’s lifespan and the signal-induced cell death the most.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted December 15, 2016.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A Reaction-Diffusion Model for Radiation-Induced Bystander Effects
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A Reaction-Diffusion Model for Radiation-Induced Bystander Effects
Oluwole Olobatuyi, Gerda de Vries, Thomas Hillen
bioRxiv 094375; doi: https://doi.org/10.1101/094375
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
A Reaction-Diffusion Model for Radiation-Induced Bystander Effects
Oluwole Olobatuyi, Gerda de Vries, Thomas Hillen
bioRxiv 094375; doi: https://doi.org/10.1101/094375

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Cancer Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3514)
  • Biochemistry (7371)
  • Bioengineering (5347)
  • Bioinformatics (20328)
  • Biophysics (10048)
  • Cancer Biology (7781)
  • Cell Biology (11353)
  • Clinical Trials (138)
  • Developmental Biology (6454)
  • Ecology (9984)
  • Epidemiology (2065)
  • Evolutionary Biology (13359)
  • Genetics (9375)
  • Genomics (12614)
  • Immunology (7729)
  • Microbiology (19118)
  • Molecular Biology (7478)
  • Neuroscience (41163)
  • Paleontology (301)
  • Pathology (1235)
  • Pharmacology and Toxicology (2142)
  • Physiology (3183)
  • Plant Biology (6882)
  • Scientific Communication and Education (1276)
  • Synthetic Biology (1900)
  • Systems Biology (5328)
  • Zoology (1091)