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...

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Main Authors: Noora Al Balushi, Mitchell Boyd-Moss, Rasika M. Samarasinghe, Aaqil Rifai, Stephanie J. Franks, Kate Firipis, Benjamin M. Long, Ian A. Darby, David R. Nisbet, Dodie Pouniotis, Richard J. Williams
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Gels
Subjects:
Online Access:https://www.mdpi.com/2310-2861/8/6/332
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author Noora Al Balushi
Mitchell Boyd-Moss
Rasika M. Samarasinghe
Aaqil Rifai
Stephanie J. Franks
Kate Firipis
Benjamin M. Long
Ian A. Darby
David R. Nisbet
Dodie Pouniotis
Richard J. Williams
author_facet Noora Al Balushi
Mitchell Boyd-Moss
Rasika M. Samarasinghe
Aaqil Rifai
Stephanie J. Franks
Kate Firipis
Benjamin M. Long
Ian A. Darby
David R. Nisbet
Dodie Pouniotis
Richard J. Williams
author_sort Noora Al Balushi
collection DOAJ
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.
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spelling doaj.art-a40e3f0b3cda4a0f8bc807966859222d2023-11-23T16:45:05ZengMDPI AGGels2310-28612022-05-018633210.3390/gels8060332Self-Assembled Peptide Habitats to Model Tumor MetastasisNoora Al Balushi0Mitchell Boyd-Moss1Rasika M. Samarasinghe2Aaqil Rifai3Stephanie J. Franks4Kate Firipis5Benjamin M. Long6Ian A. Darby7David R. Nisbet8Dodie Pouniotis9Richard J. Williams10School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC 3000, AustraliaSchool of Engineering, RMIT University, Melbourne, VIC 3000, AustraliaSchool of Medicine, Deakin University, Waurn Ponds, VIC 3216, AustraliaSchool of Engineering, RMIT University, Melbourne, VIC 3000, AustraliaLaboratory of Advanced Biomaterials, Research School of Chemistry and the John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, AustraliaSchool of Engineering, RMIT University, Melbourne, VIC 3000, AustraliaFuture Regions Research Centre, Federation University Australia, Mount Helen, VIC 3353, AustraliaSchool of Health and Biomedical Sciences, RMIT University, Melbourne, VIC 3000, AustraliaLaboratory of Advanced Biomaterials, Research School of Chemistry and the John Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, AustraliaSchool of Health and Biomedical Sciences, RMIT University, Melbourne, VIC 3000, AustraliaSchool of Engineering, RMIT University, Melbourne, VIC 3000, AustraliaMetastatic 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.https://www.mdpi.com/2310-2861/8/6/332self-assemblypeptidehydrogelfunctionalisationcancermatrix
spellingShingle Noora Al Balushi
Mitchell Boyd-Moss
Rasika M. Samarasinghe
Aaqil Rifai
Stephanie J. Franks
Kate Firipis
Benjamin M. Long
Ian A. Darby
David R. Nisbet
Dodie Pouniotis
Richard J. Williams
Self-Assembled Peptide Habitats to Model Tumor Metastasis
Gels
self-assembly
peptide
hydrogel
functionalisation
cancer
matrix
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 self-assembly
peptide
hydrogel
functionalisation
cancer
matrix
url https://www.mdpi.com/2310-2861/8/6/332
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