ArticleDisease models & mechanisms2021
The MEMIC is an ex vivo system to model the complexity of the tumor microenvironment.
Article in Disease models & mechanisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Cellular mechanometabolism: stimuli and implications.EMBO reports · 2026Review
- From complexity to clarity: aging bone marrow niche in bone and blood regeneration and malignancy.Bone research · 2026Review
- Longitudinal Monitoring of Metabolic Gradients in Microreactor Culture Platforms by Raman Spectroscopy.Biosensors · 2026Article
- MRCKα represses GEF-H1 mediated RhoA activation to promote ovarian cancer spheroid growth and invasion.bioRxiv : the preprint server for biology · 2026Article
- Article
- Direct visualization of emergent metastatic features within an ex vivo model of the tumor microenvironment.Life science alliance · 2025Article
- Hypoxia Potentiates the Inflammatory Fibroblast Phenotype Promoted by Pancreatic Cancer Cell-Derived Cytokines.Cancer research · 2023Article
- Sharing resources to advance translational research.Disease models & mechanisms · 2022Article
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7 authors.
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Abstract
There is an urgent need for accurate, scalable and cost-efficient models of the tumor microenvironment. Here, we detail how to fabricate and use the metabolic microenvironment chamber (MEMIC) - a 3D-printed ex vivo model of intratumoral heterogeneity. A major driver of the cellular and molecular diversity in tumors is accessibility to the blood stream. Whereas perivascular tumor cells have direct access to oxygen and nutrients, cells further from the vasculature must survive under progressively more ischemic environments. The MEMIC simulates this differential access to nutrients, allow co-culturing any number of cell types, and it is optimized for live imaging and other microscopy-based analyses. Owing to a modular design and full experimental control, the MEMIC provides insights into the tumor microenvironment that would be difficult to obtain via other methods. As proof of principle, we show that cells sense gradual changes in metabolite concentration leading to predictable molecular and cellular spatial patterns. We propose the MEMIC as a complement to standard in vitro and in vivo experiments, diversifying the tools available to accurately model, perturb and monitor the tumor microenvironment.
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