Predicting and measuring glucose and lactate metabolism of cancer spheroids in hanging-drop networks
- Other Conference Item
3D cell cultures from well-established cell lines and ex vivo tissues are increasingly popular biological models. Combining the hanging-drop technology with enzyme-based biosensors enables live-monitoring of microtissue glucose consumption and lactate production. We developed a numerical model that accurately predicts cancer microtissue glucose uptake and lactate secretion. In this work, the faithful reproduction of nutrient dynamics in the presence of metabolically active HCT-116 spheroids demonstrates the model’s predictive capabilities. Ultimately, this project aims at quantifying the metabolic activity of meaningful – yet poorly characterized – tissue types in order to define optimal culturing conditions that ensure microtissue viability and that better mimic the physiological microenvironment. Show more
Book title22nd International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2018)
Pages / Article No.
PublisherChemical and Biological Microsystems Society
SubjectEnzyme-based biosensor; Glucose; Lactate; Hanging-drop technology; HCT-116 spheroid; Cancer; Numerical model; Finite-element method; Multi-scale model
Organisational unit03684 - Hierlemann, Andreas / Hierlemann, Andreas
Related publications and datasets
NotesPoster abstract. Poster presentation on November 12, 2018.
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