Assessing Metabolic State of 3D Tumor Models
This webinar was presented on October 20, 2021
Webinar Summary
Translational cancer research is increasingly incorporating 3D cell models like organoids, tumoroids and other patient-derived samples. Progression of a tumor and its response to therapy has been closely linked to metabolic reprogramming in cancer cells. Therefore, metabolism assays have become an important part of the tumor treatment response multifunctional profiling. This necessitates efficient workflows for timed supernatant sample collection to analyze the dynamics of metabolite secretion in response to treatment
In this joint webinar by Protein Fluidics and Promega, scientists will show how 3D-optimized metabolite assays can be used with cell models to assess their metabolic state. An automated Pu·MA System workflow to capture dynamic metabolite secretion from patient-derived tumoroids will be featured. The speakers will also discuss technical aspects of assay optimization, including monitoring changes in metabolites upon timed drug treatments.
Presenters
- Jolanta Vidugiriene, PhD (Promega Corporation)
Senior Research Scientist
Luminescence Approaches for Monitoring Cellular Energy Metabolism - Katya Nikolov, MD (Protein Fluidics, Inc.)
Senior Application Scientist
Multifunctional Profiling & Metabolite Assays using Patient-Derived Tumoroids
Learn how to
- Promega’s metabolite assays have been optimized for 3D cell models
- To monitor cellular metabolism using the Lactate-Glo™ and Glutamate-Glo™ assays
- To perform automated time sampling from 3D cell models using the Pu·MA System for metabolite measurements
- The Pu·MA System can help prevent loss or damage during assay steps for multifunctional profiling
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