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Quantitative analysis of tumour spheroid structure

View ORCID ProfileAlexander P Browning, View ORCID ProfileJesse A Sharp, View ORCID ProfileRyan J Murphy, Gency Gunasingh, View ORCID ProfileBrodie Lawson, View ORCID ProfileKevin Burrage, View ORCID ProfileNikolas K Haass, View ORCID ProfileMatthew J Simpson
doi: https://doi.org/10.1101/2021.08.05.455334
Alexander P Browning
1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia
2ARC Centre of Excellence for Mathematical and Statistical Frontiers, QUT, Australia
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Jesse A Sharp
1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia
2ARC Centre of Excellence for Mathematical and Statistical Frontiers, QUT, Australia
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Ryan J Murphy
1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia
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Gency Gunasingh
4The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
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Brodie Lawson
1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia
2ARC Centre of Excellence for Mathematical and Statistical Frontiers, QUT, Australia
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Kevin Burrage
1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia
2ARC Centre of Excellence for Mathematical and Statistical Frontiers, QUT, Australia
3Department of Computer Science, University of Oxford, Oxford, UK
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Nikolas K Haass
4The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
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Matthew J Simpson
1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia
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  • For correspondence: matthew.simpson@qut.edu.au
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Abstract

Tumour spheroids are common in vitro experimental models of avascular tumour growth. Compared with traditional two-dimensional culture, tumour spheroids more closely mimic the avascular tumour microenvironment where spatial differences in nutrient availability strongly influence growth. We show that spheroids initiated using significantly different numbers of cells grow to similar limiting sizes, suggesting that avascular tumours have a limiting structure; in agreement with untested predictions of classical mathematical models of tumour spheroids. We develop a novel mathematical and statistical framework to study the structure of tumour spheroids seeded from cells transduced with fluorescent cell cycle indicators, enabling us to discriminate between arrested and cycling cells and identify an arrested region. Our analysis shows that transient spheroid structure is independent of initial spheroid size, and the limiting structure can be independent of seeding density. Standard experimental protocols compare spheroid size as a function of time; however, our analysis suggests that comparing spheroid structure as a function of overall size produces results that are relatively insensitive to variability in spheroid size. Our experimental observations are made using two melanoma cell lines, but our modelling framework applies across a wide range of spheroid culture conditions and cell lines.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/ap-browning/Spheroids

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-ND 4.0 International license.
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Posted August 06, 2021.
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Quantitative analysis of tumour spheroid structure
Alexander P Browning, Jesse A Sharp, Ryan J Murphy, Gency Gunasingh, Brodie Lawson, Kevin Burrage, Nikolas K Haass, Matthew J Simpson
bioRxiv 2021.08.05.455334; doi: https://doi.org/10.1101/2021.08.05.455334
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Quantitative analysis of tumour spheroid structure
Alexander P Browning, Jesse A Sharp, Ryan J Murphy, Gency Gunasingh, Brodie Lawson, Kevin Burrage, Nikolas K Haass, Matthew J Simpson
bioRxiv 2021.08.05.455334; doi: https://doi.org/10.1101/2021.08.05.455334

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