4.6 Article

Exploring the regulation of human neural precursor cell differentiation using arrays of signaling microenvironments

Journal

MOLECULAR SYSTEMS BIOLOGY
Volume 2, Issue -, Pages -

Publisher

WILEY
DOI: 10.1038/msb4100076

Keywords

cell fate regulation; combinatorial signaling; microenvironemnt microarrays; proteomics; stem cells

Funding

  1. NCI NIH HHS [R01 CA077097, CA77097] Funding Source: Medline
  2. NIMH NIH HHS [MH071472, R01 MH071472] Funding Source: Medline
  3. NINDS NIH HHS [R01 NS045113, NS045113] Funding Source: Medline
  4. NATIONAL CANCER INSTITUTE [R01CA077097] Funding Source: NIH RePORTER
  5. NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH071472] Funding Source: NIH RePORTER
  6. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS045113] Funding Source: NIH RePORTER

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Cells of a developing embryo integrate a complex array of local and long-range signals that act in concert with cell-intrinsic determinants to influence developmental decisions. To systematically investigate the effects of molecular microenvironments on cell fate decisions, we developed an experimental method based on parallel exposure of cells to diverse combinations of extracellular signals followed by quantitative, multi-parameter analysis of cellular responses. Primary human neural precursor cells were captured and cultured on printed microenvironment arrays composed of mixtures of extracellular matrix components, morphogens, and other signaling proteins. Quantitative single cell analysis revealed striking effects of some of these signals on the extent and direction of differentiation. We found that Wnt and Notch co-stimulation could maintain the cells in an undifferentiated-like, proliferative state, whereas bone morphogenetic protein 4 induced an 'indeterminate' differentiation phenotype characterized by simultaneous expression of glial and neuronal markers. Multi-parameter analysis of responses to conflicting signals revealed interactions more complex than previously envisaged including dominance relations that may reflect a cell-intrinsic system for robust specification of responses in complex microenvironments.

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