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Quantitative analysis of tumour spheroid structure

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...

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Detalles Bibliográficos
Autores principales: Browning, Alexander P, Sharp, Jesse A, Murphy, Ryan J, Gunasingh, Gency, Lawson, Brodie, Burrage, Kevin, Haass, Nikolas K, Simpson, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741212/
https://www.ncbi.nlm.nih.gov/pubmed/34842141
http://dx.doi.org/10.7554/eLife.73020
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author Browning, Alexander P
Sharp, Jesse A
Murphy, Ryan J
Gunasingh, Gency
Lawson, Brodie
Burrage, Kevin
Haass, Nikolas K
Simpson, Matthew
author_facet Browning, Alexander P
Sharp, Jesse A
Murphy, Ryan J
Gunasingh, Gency
Lawson, Brodie
Burrage, Kevin
Haass, Nikolas K
Simpson, Matthew
author_sort Browning, Alexander P
collection PubMed
description 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.
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spelling pubmed-87412122022-01-11 Quantitative analysis of tumour spheroid structure Browning, Alexander P Sharp, Jesse A Murphy, Ryan J Gunasingh, Gency Lawson, Brodie Burrage, Kevin Haass, Nikolas K Simpson, Matthew eLife Cancer Biology 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. eLife Sciences Publications, Ltd 2021-11-29 /pmc/articles/PMC8741212/ /pubmed/34842141 http://dx.doi.org/10.7554/eLife.73020 Text en © 2021, Browning et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Cancer Biology
Browning, Alexander P
Sharp, Jesse A
Murphy, Ryan J
Gunasingh, Gency
Lawson, Brodie
Burrage, Kevin
Haass, Nikolas K
Simpson, Matthew
Quantitative analysis of tumour spheroid structure
title Quantitative analysis of tumour spheroid structure
title_full Quantitative analysis of tumour spheroid structure
title_fullStr Quantitative analysis of tumour spheroid structure
title_full_unstemmed Quantitative analysis of tumour spheroid structure
title_short Quantitative analysis of tumour spheroid structure
title_sort quantitative analysis of tumour spheroid structure
topic Cancer Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741212/
https://www.ncbi.nlm.nih.gov/pubmed/34842141
http://dx.doi.org/10.7554/eLife.73020
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