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

Quantitative agent-based modeling reveals mechanical stress response of growing tumor spheroids is predictable over various growth conditions and cell lines

Paul Van Liedekerke, Johannes Neitsch, Tim Johann, Kevin Alessandri, Pierre Nassoy, View ORCID ProfileDirk Drasdo
doi: https://doi.org/10.1101/122614
Paul Van Liedekerke
INRIA;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Johannes Neitsch
IZBI;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tim Johann
IZBI;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kevin Alessandri
Institut Optique
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pierre Nassoy
Institut Optique
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dirk Drasdo
INRIA;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Dirk Drasdo
  • For correspondence: dirk.drasdo@inria.fr
  • Abstract
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Model simulations indicate that the response of growing cell populations on mechanical stress follows the same functional relationship and is predictable over different cell lines and growth conditions despite the response curves look largely different. We develop a hybrid model strategy in which cells are represented by coarse-grained individual units calibrated with a high resolution cell model and parameterized measurable biophysical and cell-biological parameters. Cell cycle progression in our model is controlled by volumetric strain, the latter being derived from a bio-mechanical relation between applied pressure and cell compressibility. After parameter calibration from experiments with mouse colon carcinoma cells growing against the resistance of an elastic alginate capsule, the model adequately predicts the growth curve in i) soft and rigid capsules, ii) in different experimental conditions where the mechanical stress is generated by osmosis via a high molecular weight dextran solution, and iii) for other cell types with varying doubling times. Our model simulation results suggest that the growth response of cell population upon externally applied mechanical stress is the same, as it can be quantitatively predicted using the same growth progression function.

Footnotes

  • - New results: simulations perfromed for new cell lines (FHI, BC52, AB6, HT29) and other mechanical pressure (10 kPa) - New figures added /figures modified - Text rewritten

Copyright 
The copyright holder for this preprint is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
  • Posted June 5, 2018.

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.
Quantitative agent-based modeling reveals mechanical stress response of growing tumor spheroids is predictable over various growth conditions and cell lines
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
Share
Quantitative agent-based modeling reveals mechanical stress response of growing tumor spheroids is predictable over various growth conditions and cell lines
Paul Van Liedekerke, Johannes Neitsch, Tim Johann, Kevin Alessandri, Pierre Nassoy, Dirk Drasdo
bioRxiv 122614; doi: https://doi.org/10.1101/122614
del.icio.us logo Digg logo Reddit logo Technorati logo Twitter logo CiteULike logo Connotea logo Facebook logo Google logo Mendeley logo
Citation Tools
Quantitative agent-based modeling reveals mechanical stress response of growing tumor spheroids is predictable over various growth conditions and cell lines
Paul Van Liedekerke, Johannes Neitsch, Tim Johann, Kevin Alessandri, Pierre Nassoy, Dirk Drasdo
bioRxiv 122614; doi: https://doi.org/10.1101/122614

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

  • Systems Biology
  • Biophysics
Subject Areas
All Articles
  • Animal Behavior and Cognition (619)
  • Biochemistry (857)
  • Bioengineering (515)
  • Bioinformatics (4754)
  • Biophysics (1499)
  • Cancer Biology (1028)
  • Cell Biology (1445)
  • Clinical Trials (52)
  • Developmental Biology (973)
  • Ecology (1628)
  • Epidemiology (808)
  • Evolutionary Biology (3687)
  • Genetics (2509)
  • Genomics (3260)
  • Immunology (601)
  • Microbiology (2408)
  • Molecular Biology (888)
  • Neuroscience (6471)
  • Paleontology (42)
  • Pathology (124)
  • Pharmacology and Toxicology (220)
  • Physiology (286)
  • Plant Biology (890)
  • Scientific Communication and Education (247)
  • Synthetic Biology (383)
  • Systems Biology (1321)
  • Zoology (162)