Interrogating cellular fate decisions with high-throughput arrays of multiplexed cellular communities
Year: 2016
Type: article
Abstract: Recreating heterotypic cell-cell interactions in vitro is key to dissecting the role of cellular communication during a variety of biological processes. This is especially relevant for stem cell niches, where neighbouring cells provide instructive inputs that govern cell fate decisions. To investigate the logic and dynamics of cell-cell signalling networks, we prepared heterotypic cell-cell interaction arrays using DNA-programmed adhesion. Our platform specifies the number and initial position of up to four distinct cell types within each array and offers tunable control over cell-contact time during long-term culture. Here, we use the platform to study the dynamics of single adult neural stem cell fate decisions in response to competing juxtacrine signals. Our results suggest a potential signalling hierarchy between Delta-like 1 and ephrin-B2 ligands, as neural stem cells adopt the Delta-like 1 phenotype of stem cell maintenance on simultaneous presentation of both signals.
Source: Nature Communications
DOI: 10.1038/ncomms10309
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,990
Funders: National Science Foundation, U.S. Department of Defense, National Institutes of Health, Samsung, National Institute of General Medical Sciences, National Institute of Environmental Health Sciences, National Institute of Biomedical Imaging and Bioengineering, National Center for Chronic Disease Prevention and Health Promotion, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G2861609777, Total synthesis of the human mammary gland, G4119534169, BC123047 A MULTISCALE AND MULTICOMPONENT IN VITRO MODEL OF THE HUMAN MAMMARY GLAND, Precise Surface Patterning to Investigate Cell-Cell Interactions that Regulate Ne, G5850682332, UCSF/UCB Joint Graduate Group in Bioengineering, G8632625050, High-Throughput Platform for Identifying Stem Cell Toxicity
OpenAlex ID: W2336032538
