Show simple item record

dc.contributor.authorLittle, JPen_US
dc.contributor.authorPettet, GJen_US
dc.contributor.authorHutmacher, DWen_US
dc.contributor.authorLoessner, Den_US
dc.date.accessioned2018-11-27T08:53:39Z
dc.date.available2018-06-28en_US
dc.date.issued2018-11en_US
dc.date.submitted2018-11-25T17:13:21.973Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/53323
dc.description.abstractBACKGROUND: There is a relative paucity of research that integrates materials science and bioengineering with computational simulations to decipher the intricate processes promoting cancer progression. Therefore, a first-generation computational model, SpheroidSim, was developed that includes a biological data set derived from a bioengineered spheroid model to obtain a quantitative description of cell kinetics. RESULTS: SpheroidSim is a 3D agent-based model simulating the growth of multicellular cancer spheroids. Cell cycle time and phases mathematically motivated the population growth. SpheroidSim simulated the growth dynamics of multiple spheroids by individually defining a collection of specific phenotypic traits and characteristics for each cell. Experimental data derived from a hydrogel-based spheroid model were fit to the predictions providing insight into the influence of cell cycle time (CCT) and cell phase fraction (CPF) on the cell population. A comparison of the number of active cells predicted for each analysis showed that the value and method used to define CCT had a greater effect on the predicted cell population than CPF. The model predictions were similar to the experimental results for the number of cells, with the predicted total number of cells varying by 8% and 12%, respectively, compared to the experimental data. CONCLUSIONS: SpheroidSim is a first step in developing a biologically based predictive tool capable of revealing fundamental elements in cancer cell physiology. This computational model may be applied to study the effect of the microenvironment on spheroid growth and other cancer cell types that demonstrate a similar multicellular clustering behavior as the population develops. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:1335-1343, 2018.en_US
dc.description.sponsorshipCancer Council Queensland. Grant Number: project grant; Australian Research Council. Grant Number: fellowship project granten_US
dc.format.extent1335 - 1343en_US
dc.languageengen_US
dc.language.isoenen_US
dc.relation.ispartofBiotechnol Progen_US
dc.rights"This is the peer reviewed version of the following article: Little, J. P., Pettet, G. J., Hutmacher, D. W. and Loessner, D. (2018), SpheroidSim—Preliminary evaluation of a new computational tool to predict the influence of cell cycle time and phase fraction on spheroid growth. Biotechnol. Prog. doi:10.1002/btpr.2692 which has been published in final form at https://doi.org/10.1002/btpr.2692. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions."
dc.subjectMathematical modelingen_US
dc.subjectagent-based modelen_US
dc.subjectbioengineeringen_US
dc.subjectcancer spheroidsen_US
dc.subjectcell growthen_US
dc.titleSpheroidSim-Preliminary evaluation of a new computational tool to predict the influence of cell cycle time and phase fraction on spheroid growth.en_US
dc.typeArticle
dc.rights.holder© 2018 American Institute of Chemical Engineers
dc.identifier.doi10.1002/btpr.2692en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/30009492en_US
pubs.issue6en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume34en_US
dcterms.dateAccepted2018-06-28en_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record