Fig. 6: Applicability of the model to assess the efficacy of glucocorticoid receptor antagonists.
From: An integrated framework for quantifying immune-tumour interactions in a 3D co-culture model
a Representative images taken using confocal microscopy where green represents the 66CL4 spheroids and red represents immune cells of the co-culture. Spheroids were split into 7 groups: spheroids only, spheroids + splenocytes, spheroids + splenocytes + cortisol, spheroids +splenocytes + cortisol + RU486, spheroids + splenocytes + cortisol + CORT125134, spheroids + splenocytes + cortisol + CORT125281, and spheroids + cortisol. a1 Image analysis using the TIC trafficking algorithm. a2 Image analysis using the TIS trafficking algorithm. b Representative images of 4T1 spheroids split into 7 groups: spheroids only, spheroids + splenocytes, spheroids + splenocytes + cortisol, spheroids +splenocytes + cortisol + RU486, spheroids + splenocytes + cortisol + CORT125134, spheroids + splenocytes + cortisol + CORT125281, and spheroids + cortisol. b1 Image analysis using the TIC trafficking algorithm. b2 Image analysis using the TIS trafficking algorithm. The scale bar represents 250 µm. Significant difference was determined by a two-way ANOVA (treatment + time) followed by Bonferroni post hoc test. Data represent mean ± SEM, n = 6 biologically independent spheroids, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
