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In experimental module, non-resistant and temozolomide (TMZ)-resistant human glioblastoma (hGB) cells were tumoroid-cultured using self-filling microwell arrays (SFMAs). After four days, allowing to form a compact solid tumor structure, tumoroids were co-cultured with NPC-differentiated neurons in a hydrogel matrix within a microfluidic chip. The growth and invasion of tumoroids were monitored over 7 days and were quantified via ImageJ. In the HDC framework, non-resistant and TMZ-resistant cells were two-dimensional (2D) cultured, their metabolic rates were extracted and input to the model, and predictions were validated by comparing with the experimental data. Created with BioRender.com.

Journal: Communications Engineering

Article Title: Insights from a multiscale framework on metabolic rate variation driving glioblastoma multiforme growth and invasion

doi: 10.1038/s44172-024-00319-9

Figure Lengend Snippet: In experimental module, non-resistant and temozolomide (TMZ)-resistant human glioblastoma (hGB) cells were tumoroid-cultured using self-filling microwell arrays (SFMAs). After four days, allowing to form a compact solid tumor structure, tumoroids were co-cultured with NPC-differentiated neurons in a hydrogel matrix within a microfluidic chip. The growth and invasion of tumoroids were monitored over 7 days and were quantified via ImageJ. In the HDC framework, non-resistant and TMZ-resistant cells were two-dimensional (2D) cultured, their metabolic rates were extracted and input to the model, and predictions were validated by comparing with the experimental data. Created with BioRender.com.

Article Snippet: Here, we report on a hybrid discrete-continuum (HDC) mathematical framework that uses metabolic data from a biomimetic two-dimensional (2D) in-vitro cancer model to predict three-dimensional (3D) behaviour of in-vitro human glioblastoma (hGB).

Techniques: Cell Culture