- Title
- Self-assembled peptide habitats to model tumor metastasis
- Creator
- Al Balushi, Noora; Boyd-Moss, Mitchell; Samarasinghe, Rasika; Rifai, Aaqil; Franks, Stephanie; Firipis, Kate; Long, Benjamin; Darby, Ian; Nisbet, David; Pouniotis, Dodie; Williams, Richard
- Date
- 2022
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/191019
- Identifier
- vital:17719
- Identifier
-
https://doi.org/10.3390/gels8060332
- Identifier
- ISSN:2310-2861 (ISSN)
- Abstract
- 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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
- Publisher
- MDPI
- Relation
- Gels Vol. 8, no. 6 (2022), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- https://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright @ 2022 by the authors
- Rights
- Open Access
- Subject
- 3202 Clinical sciences; Cancer; Functionalisation; Hydrogel; Matrix; Peptide; Self-Assembly
- Full Text
- Reviewed
- Funder
- This study was supported by funding from the Deakin School of Medicine Faculty HAtCH Grant, an ARC discovery project (DP130103131) and the NHMRC project (GNT1144996). This research was undertaken on the SAXS/WAXS beamline at the Australian Synchrotron, a part of ANSTO. DRN was supported by a NHMRC Dementia Research Leadership Fellowship (GNT1135687).
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