Are tumor cell lineages solely shaped by mechanical forces?

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Title: Are tumor cell lineages solely shaped by mechanical forces?
Authors: Leroy-Lerêtre, M
Dimarco, G
Cazalès, M
Boizeau, ML
Ducommun, B
Lobjois, V
Degond, PAA
Item Type: Journal Article
Abstract: This paper investigates cell proliferation dynamics in small tumor cell aggregates using an individual-based model (IBM). The simulation model is designed to study the morphology of the cell population and of the cell lineages as well as the impact of the orientation of the division plane on this morphology. Our IBM model is based on the hypothesis that cells are incompressible objects that grow in size and divide once a threshold size is reached, and that newly born cell adhere to the existing cell cluster. We performed comparisons between the simulation model and experimental data by using several statistical indicators. The results suggest that the emergence of particular morphologies can be explained by simple mechanical interactions.
Issue Date: 29-Aug-2017
Date of Acceptance: 1-Aug-2017
URI: http://hdl.handle.net/10044/1/50321
DOI: https://dx.doi.org/10.1007/s11538-017-0333-y
ISSN: 1522-9602
Publisher: Springer Verlag (Germany)
Start Page: 2356
End Page: 2393
Journal / Book Title: Bulletin of Mathematical Biology
Volume: 79
Issue: 10
Copyright Statement: © The Author(s) 2017. This article is an open access publication
Sponsor/Funder: The Royal Society
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: WM130048
EP/M006883/1
EP/N014529/1
Keywords: Science & Technology
Life Sciences & Biomedicine
Biology
Mathematical & Computational Biology
Life Sciences & Biomedicine - Other Topics
Cell proliferation
Individual-based model
Energy minimization
Lineage morphology
MITOTIC SPINDLE ORIENTATION
MATHEMATICAL-MODEL
COLONIC CRYPT
MONOCLONAL CONVERSION
TISSUE ARCHITECTURE
IN-VITRO
GROWTH
CANCER
ADHESION
MIGRATION
Cell proliferation
Energy minimization
Individual-based model
Lineage morphology
q-bio.CB
q-bio.CB
nlin.CG
nlin.PS
q-bio.TO
01 Mathematical Sciences
06 Biological Sciences
Bioinformatics
Publication Status: Published
Appears in Collections:Mathematics
Applied Mathematics and Mathematical Physics
Faculty of Natural Sciences



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