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
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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.
Beschreibung:
<jats:p>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.</jats:p>