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  A cell-size threshold limits cell polarity and asymmetric division potential

Hubatsch, L., Peglion, F., Reich, J. D., Rodrigues, N. T. L., Hirani, N., Illukkumbura, R., et al. (2019). A cell-size threshold limits cell polarity and asymmetric division potential. Nature Physics, 15(10), 1078-1085. doi:10.1038/s41567-019-0601-x.

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 Creators:
Hubatsch, Lars1, Author              
Peglion, Florent2, Author
Reich, Jacob D.2, Author
Rodrigues, Nelio T. L.2, Author
Hirani, Nisha2, Author
Illukkumbura, Rukshala2, Author
Goehring, Nathan W.2, Author
Affiliations:
1Max Planck Institute for the Physics of Complex Systems, Max Planck Society, ou_2117288              
2external, ou_persistent22              

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 MPIPKS: Structure formation and active systems
 Abstract: Reaction-diffusion networks underlie pattern formation in a range of biological contexts, from morphogenesis of organisms to the polarization of individual cells. One requirement for such molecular networks is that output patterns be scaled to system size. At the same time, kinetic properties of constituent molecules constrain the ability of networks to adapt to size changes. Here, we explore these constraints and the consequences thereof within the conserved PAR cell polarity network. Using the stem-cell-like germ lineage of the Caenorhabditis elegans embryo as a model, we find that the behaviour of PAR proteins fails to scale with cell size. Theoretical analysis demonstrates that this lack of scaling results in a size threshold below which polarity is destabilized, yielding an unpolarized system. In empirically constrained models, this threshold occurs near the size at which germ lineage cells normally switch between asymmetric and symmetric modes of division. Consistent with cell size limiting polarity and division asymmetry, genetic or physical reduction in germ lineage cell size is sufficient to trigger loss of polarity in normally polarizing cells at predicted size thresholds. Physical limits of polarity networks may be one mechanism by which cells read out geometrical features to inform cell fate decisions.

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 Dates: 2019-08-122019-10-01
 Publication Status: Published in print
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 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000488590700025
DOI: 10.1038/s41567-019-0601-x
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Title: Nature Physics
  Other : Nat. Phys.
Source Genre: Journal
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Publ. Info: London : Nature Pub. Group
Pages: - Volume / Issue: 15 (10) Sequence Number: - Start / End Page: 1078 - 1085 Identifier: ISSN: 1745-2473
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000025850