| Literature DB >> 31180341 |
Rebecca Smith1, Kaylyn Devlin1, David Kilburn1, Sean Gross1, Damir Sudar2, Elmar Bucher1, Michel Nederlof2, Mark Dane1, Joe W Gray1, Laura Heiser1, James E Korkola3.
Abstract
Understanding the impact of the microenvironment on the phenotype of cells is a difficult problem due to the complex mixture of both soluble growth factors and matrix-associated proteins in the microenvironment in vivo. Furthermore, readily available reagents for the modeling of microenvironments in vitro typically utilize complex mixtures of proteins that are incompletely defined and suffer from batch to batch variability. The microenvironment microarray (MEMA) platform allows for the assessment of thousands of simple combinations of microenvironment proteins for their impact on cellular phenotypes in a single assay. The MEMAs are prepared in well plates, which allows the addition of individual ligands to separate wells containing arrayed extracellular matrix (ECM) proteins. The combination of the soluble ligand with each printed ECM forms a unique combination. A typical MEMA assay contains greater than 2,500 unique combinatorial microenvironments that cells are exposed to in a single assay. As a test case, the breast cancer cell line MCF7 was plated on the MEMA platform. Analysis of this assay identified factors that both enhance and inhibit the growth and proliferation of these cells. The MEMA platform is highly flexible and can be extended for use with other biological questions beyond cancer research.Entities:
Mesh:
Substances:
Year: 2019 PMID: 31180341 PMCID: PMC6736605 DOI: 10.3791/58957
Source DB: PubMed Journal: J Vis Exp ISSN: 1940-087X Impact factor: 1.355