| Literature DB >> 35735676 |
Noora Al Balushi1, Mitchell Boyd-Moss2,3,4, Rasika M Samarasinghe3,5, Aaqil Rifai2,3,5, Stephanie J Franks6, Kate Firipis2,4, Benjamin M Long7, Ian A Darby1, David R Nisbet6,8,9,10, Dodie Pouniotis1, Richard J Williams2,3,4,5.
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.Entities:
Keywords: cancer; functionalisation; hydrogel; matrix; peptide; self-assembly
Year: 2022 PMID: 35735676 PMCID: PMC9223161 DOI: 10.3390/gels8060332
Source DB: PubMed Journal: Gels ISSN: 2310-2861
Figure 1Illustration of Fmoc-SAP and agarose hydrogel self-assembly, and schematic illustration of common features demonstrated by solid tumour in vivo and the in vitro tumour spheroid (A) Cartoon depiction of Fmoc-SAP hydrogel formation (i) Each single SAP consists of an Fmoc aromatic group coupled with a short amino acid sequence. (ii) Under physiological conditions, self-assembly is initiated through stacking. (iii) Peptides align to form individual nanofibres. (iv) Nanofibres bundle together. (v) Bundles associate and intertwine to form the hydrogel network. (B) Cartoon depiction of agarose hydrogel formation. (i) Chemical structure of agarose. (ii) Artistic depiction of polymer. (iii) Formation of helical structures (iv) Polymer association and formation of network. (C) Common features between solid tumours in vivo and tumour spheroids in vitro include a central necrotic zone, due to the decreased availability of oxygen, nutrients and space for proliferation, and an outer proliferation zone. (D) Schematic representation of cell growth in the three microenvironments investigated: as a monolayer in 2D tissue culture plates, 2.5D spheroid growth in culture media (i.e., no hydrogel encapsulation), and 3D spheroid growth encapsulated within Fmoc-FRGDF/Fmoc-DIKVAV hydrogels. Common features between solid tumours in vivo and tumour spheroids in vitro include a central necrotic zone, due to the decreased availability of oxygen, nutrients and space for proliferation, and an outer proliferation zone.
Figure 2Material characterisation and assessment of cellular metabolic activity. (A) TEM and CryoSEM analysis of 1% agarose and Fmoc-SAP co-assembled hydrogels. Top: TEM analysis of (i) Fmoc-FRGDF/Fmoc-DIKVAV co- assembled hydrogel and (ii) Agarose hydrogel (scale = 1 μm). Bottom: CryoSEM analysis of (iii) 1% agarose and (iv) Fmoc-SAP co-assembled hydrogels imaged at 3000× magnification (scale = 20 μm). (B) Fitting of scattering curves obtained during SAXS investigation. (i) Fitting for correlation length, and (ii) fitting to two-power model used for the determination of mesh size (arrows indicate the power intercept). (C) A comparison of the metabolic activity of LLC, NOR-10 and co-culture 3D and 2.5D spheroids, measured by MTS assay at 490 nm wavelength after an incubation time of 1 and 3 days. Data is presented as mean ± SEM, n = 3. Statistics were obtained by two-way ANOVA with the Tukey’s multiple comparisons test. * p < 0.05, *** p < 0.001, **** p < 0.0001. 24 h after seeding, metabolic activity was significantly higher for all cells grown in 3D conditions, and 72 h after seeding, the trend continued for NOR-10 cells and co-cultured cells, while LLC activity was consistent under both conditions.
Figure 3Vinculin expression and co-localisation with F-actin in 3D spheroids encapsulated within Fmoc-SAP hydrogel, 2.5D spheroids and 2D cell culture. (A) Flow cytometry analysis of vinculin expression and (B) α-SMA expression, both measured in LLC, NOR-10 and LLC+NOR-10 co-culture after 72 h encapsulation within Fmoc-SAP hydrogel (3D) compared to no-encapsulated 2.5D spheroids and 2D cell culture. Data are presented as mean ± SEM, n = 3. Statistics were obtained by two-way ANOVA with the Tukey’s multiple comparisons test. ** p < 0.01, *** p < 0.001, **** p < 0.0001. (C) Spheroids were immunofluorescent stained for nucleus (blue), vinculin (green) and F-actin (red) and were analyzed by confocal microscopy following 72 h growth (top to bottom): on 2D tissue culture plates; in media; and in Fmoc-SAP hydrogel. Arrows indicate F-actin filament branching.
Figure 4Tracking co-culture lung cancer spheroid migration in functionalised Fmoc-SAP and unfunctionalised 1% agarose hydrogels. (A) Migration of co-culture 3D spheroids tracked by labelling LLC cells with CMTPX red dye and NOR-10 with Mitotracker green dye following imaging via confocal microscopy and encapsulated within functionalised Fmoc-SAP hydrogels and unfunctionalised 1% agarose. Merged images are shown in the last column (scale = 200 μm). (B) Flow cytometry analysis of vinculin and α-SMA expression in co-culture spheroids encapsulated within Fmoc-SAPs hydrogels and 1% agarose. Data are presented as mean ± SEM, n = 3. Statistics were obtained by two-way ANOVA with the Tukey’s multiple comparisons test. ** p < 0.01, *** p < 0.001.