ArticleJournal of visualized experiments : JoVE2019
Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer.
Article in Journal of visualized experiments : JoVE, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- S-nitrosylated COX-2 is a microenvironment-regulated breast cancer cell biomarker of mesenchymal phenotypes.Experimental cell research · 2026Article
- Treatment resistance to platinum-based chemotherapy in lung and ovarian cancer is driven by a targetable TGFβ senescent secretome.Nature aging · 2026Article
- Growth factors maintain intratumoral heterogeneity and drive therapeutic resistance in triple-negative breast cancer.Cell reports · 2026Article
- Identification of senescence-associated drivers of tumour growth and progression using a novel microarray platform.bioRxiv : the preprint server for biology · 2025Article
- Advances in high throughput cell culture technologies for therapeutic screening and biological discovery applications.Bioengineering & translational medicine · 2024Review
- Functional delineation of the luminal epithelial microenvironment in breast using cell-based screening in combinatorial microenvironments.Cellular signalling · 2024Article
- An altered extracellular matrix-integrin interface contributes to Huntington's disease-associated CNS dysfunction in glial and vascular cells.Human molecular genetics · 2023Article
- The role of tumor microenvironment in drug resistance: emerging technologies to unravel breast cancer heterogeneity.Frontiers in oncology · 2023Review
- Systematic replication enables normalization of high-throughput imaging assays.Bioinformatics (Oxford, England) · 2022Article
- A multi-omic analysis of MCF10A cells provides a resource for integrative assessment of ligand-mediated molecular and phenotypic responses.Communications biology · 2022Article
- Article
- Automatic Transformation and Integration to Improve Visualization and Discovery of Latent Effects in Imaging Data.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2020Article
- Annot: a Django-based sample, reagent, and experiment metadata tracking system.BMC bioinformatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.