Self-Assembled Peptide Habitats to Model Tumor Metastasis

Medientyp: E-Artikel

Titel: Self-Assembled Peptide Habitats to Model Tumor Metastasis

Beteiligte: 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.

Erschienen: MDPI AG, 2022

Umfang: 332

Sprache: Englisch

DOI: 10.3390/gels8060332

ISSN: 2310-2861

Schlagwörter: Polymers and Plastics ; Organic Chemistry ; Biomaterials ; Bioengineering

Zusammenfassung: 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.

Beschreibung: 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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