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Self-Assembled Peptide Habitats to Model Tumor Metastasis
Metastatic tumours are complex ecosystems; a community of multiple cell types, including cancerous cells, fibroblasts, and immune cells that exist within a supportive and specific microenvironment. The interplay of these cells, together with tissue specific chemical, structural and temporal signals...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223161/ https://www.ncbi.nlm.nih.gov/pubmed/35735676 http://dx.doi.org/10.3390/gels8060332 |
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author | Al Balushi, Noora Boyd-Moss, Mitchell Samarasinghe, Rasika M. Rifai, Aaqil Franks, Stephanie J. Firipis, Kate Long, Benjamin M. Darby, Ian A. Nisbet, David R. Pouniotis, Dodie Williams, Richard J. |
author_facet | Al Balushi, Noora Boyd-Moss, Mitchell Samarasinghe, Rasika M. Rifai, Aaqil Franks, Stephanie J. Firipis, Kate Long, Benjamin M. Darby, Ian A. Nisbet, David R. Pouniotis, Dodie Williams, Richard J. |
author_sort | Al Balushi, Noora |
collection | PubMed |
description | Metastatic tumours are complex ecosystems; a community of multiple cell types, including cancerous cells, fibroblasts, and immune cells that exist within a supportive and specific microenvironment. The interplay of these cells, together with tissue specific chemical, structural and temporal signals within a three-dimensional (3D) habitat, direct tumour cell behavior, a subtlety that can be easily lost in 2D tissue culture. Here, we investigate a significantly improved tool, consisting of a novel matrix of functionally programmed peptide sequences, self-assembled into a scaffold to enable the growth and the migration of multicellular lung tumour spheroids, as proof-of-concept. This 3D functional model aims to mimic the biological, chemical, and contextual cues of an in vivo tumor more closely than a typically used, unstructured hydrogel, allowing spatial and temporal activity modelling. This approach shows promise as a cancer model, enhancing current understandings of how tumours progress and spread over time within their microenvironment. |
format | Online Article Text |
id | pubmed-9223161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92231612022-06-24 Self-Assembled Peptide Habitats to Model Tumor Metastasis Al Balushi, Noora Boyd-Moss, Mitchell Samarasinghe, Rasika M. Rifai, Aaqil Franks, Stephanie J. Firipis, Kate Long, Benjamin M. Darby, Ian A. Nisbet, David R. Pouniotis, Dodie Williams, Richard J. Gels Article Metastatic tumours are complex ecosystems; a community of multiple cell types, including cancerous cells, fibroblasts, and immune cells that exist within a supportive and specific microenvironment. The interplay of these cells, together with tissue specific chemical, structural and temporal signals within a three-dimensional (3D) habitat, direct tumour cell behavior, a subtlety that can be easily lost in 2D tissue culture. Here, we investigate a significantly improved tool, consisting of a novel matrix of functionally programmed peptide sequences, self-assembled into a scaffold to enable the growth and the migration of multicellular lung tumour spheroids, as proof-of-concept. This 3D functional model aims to mimic the biological, chemical, and contextual cues of an in vivo tumor more closely than a typically used, unstructured hydrogel, allowing spatial and temporal activity modelling. This approach shows promise as a cancer model, enhancing current understandings of how tumours progress and spread over time within their microenvironment. MDPI 2022-05-25 /pmc/articles/PMC9223161/ /pubmed/35735676 http://dx.doi.org/10.3390/gels8060332 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Al Balushi, Noora Boyd-Moss, Mitchell Samarasinghe, Rasika M. Rifai, Aaqil Franks, Stephanie J. Firipis, Kate Long, Benjamin M. Darby, Ian A. Nisbet, David R. Pouniotis, Dodie Williams, Richard J. Self-Assembled Peptide Habitats to Model Tumor Metastasis |
title | Self-Assembled Peptide Habitats to Model Tumor Metastasis |
title_full | Self-Assembled Peptide Habitats to Model Tumor Metastasis |
title_fullStr | Self-Assembled Peptide Habitats to Model Tumor Metastasis |
title_full_unstemmed | Self-Assembled Peptide Habitats to Model Tumor Metastasis |
title_short | Self-Assembled Peptide Habitats to Model Tumor Metastasis |
title_sort | self-assembled peptide habitats to model tumor metastasis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223161/ https://www.ncbi.nlm.nih.gov/pubmed/35735676 http://dx.doi.org/10.3390/gels8060332 |
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