4.7 Article

'Neighbourhood watch' model: embryonic epiblast cells assess positional information in relation to their neighbours

Journal

DEVELOPMENT
Volume 149, Issue 10, Pages -

Publisher

COMPANY BIOLOGISTS LTD
DOI: 10.1242/dev.200295

Keywords

Morphogen; Chick embryo; Polarity; Primitive streak; Gastrulation; Cell communication; SMAD

Funding

  1. Wellcome Trust Investigator Award [107055/Z/15/Z]
  2. Wellcome Trust award
  3. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [2014R1A6A3A03053468]
  4. Medical Research Council [MR/N013867/1]
  5. University College London
  6. Wellcome Trust [107055/Z/15/Z] Funding Source: Wellcome Trust
  7. National Research Foundation of Korea [2014R1A6A3A03053468] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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By manipulating early chick embryos, researchers found that cells in the developing system interpret morphogen status relative to their neighborhood, rather than reading morphogen concentrations autonomously. This finding has important implications for understanding tissue pattern formation and how cells interpret positional information.
In many developing and regenerating systems, tissue pattern is established through gradients of informative morphogens, but we know little about how cells interpret these. Using experimental manipulation of early chick embryos, including misexpression of an inducer (VG1 or ACTIVIN) and an inhibitor (BMP4), we test two alternative models for their ability to explain how the site of primitive streak formation is positioned relative to the rest of the embryo. In one model, cells read morphogen concentrations cell-autonomously. In the other, cells sense changes in morphogen status relative to their neighbourhood. We find that only the latter model can account for the experimental results, including some counter-intuitive predictions. This mechanism (which we name the 'neighbourhood watch' model) illuminates the classic 'French Flag Problem' and how positional information is interpreted by a sheet of cells in a large developing system.

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