Predicting and measuring glucose and lactate metabolism of cancer spheroids in hanging-drop networks
Metadata only
Datum
2018Typ
- Other Conference Item
ETH Bibliographie
yes
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Abstract
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. Mehr anzeigen
Publikationsstatus
publishedBuchtitel
22nd International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2018)Seiten / Artikelnummer
Verlag
Chemical and Biological Microsystems SocietyKonferenz
Thema
Enzyme-based biosensor; Glucose; Lactate; Hanging-drop technology; HCT-116 spheroid; Cancer; Numerical model; Finite-element method; Multi-scale modelOrganisationseinheit
03684 - Hierlemann, Andreas / Hierlemann, Andreas
Anmerkungen
Poster abstract. Poster presentation on November 12, 2018.ETH Bibliographie
yes
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