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DOI: 10.3791/58957-v
Rebecca Smith1, Kaylyn Devlin1, David Kilburn1, Sean Gross1, Damir Sudar2, Elmar Bucher1, Michel Nederlof2, Mark Dane1, Joe W. Gray1, Laura Heiser1, James E. Korkola1
1Department of Biomedical Engineering, Knight Cancer Institute,Oregon Health and Science University, 2Quantitative Imaging Systems LLC
The purpose of the method presented here is to show how microenvironment microarrays (MEMA) can be fabricated and used to interrogate the impact of thousands of simple combinatorial microenvironments on the phenotype of cultured cells.
Studying the tumor microenvironment is difficult due to its complexity. We've developed microenvironment microarrays consisting of simple combinatorial microenvironments that allow the identification of major drivers of tumor cell phenotypes. The major advantage of the MEMA platform is that because the microenvironment conditions are all defined, it is straightforward to identify microenvironment factors that drive phenotypes of interest.
The MEMA platform is widely applicable in other non-cancer systems, including primary cell strains and stem cells. There are a number of engineering tricks and steps that we have developed to speed the wet bench work and simplify the protocol. To begin, use a touch pin printer to print extracellular matrix print mixture in fiducial spots into eight-well plates.
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