Literature DB >> 29678815

Feedback between tissue packing and neurogenesis in the zebrafish neural tube.

Tom W Hiscock1, Joel B Miesfeld2, Kishore R Mosaliganti1, Brian A Link2, Sean G Megason3.   

Abstract

Balancing the rate of differentiation and proliferation in developing tissues is essential to produce organs of robust size and composition. Although many molecular regulators have been established, how these connect to physical and geometrical aspects of tissue architecture is poorly understood. Here, using high-resolution timelapse imaging, we find that changes to cell geometry associated with dense tissue packing play a significant role in regulating differentiation rate in the zebrafish neural tube. Specifically, progenitors that are displaced away from the apical surface due to crowding, tend to differentiate in a Notch-dependent manner. Using simulations we show that interplay between progenitor density, cell shape and changes in differentiation rate could naturally result in negative-feedback control on progenitor cell number. Given these results, we suggest a model whereby differentiation rate is regulated by density dependent effects on cell geometry to: (1) correct variability in cell number; and (2) balance the rates of proliferation and differentiation over development to 'fill' the available space.
© 2018. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Differentiation; Feedback control; Neurogenesis; Tissue packing

Mesh:

Substances:

Year:  2018        PMID: 29678815      PMCID: PMC5992593          DOI: 10.1242/dev.157040

Source DB:  PubMed          Journal:  Development        ISSN: 0950-1991            Impact factor:   6.868


  89 in total

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Authors:  Ann S Grosse; Mark F Pressprich; Lauren B Curley; Kara L Hamilton; Ben Margolis; Jeffrey D Hildebrand; Deborah L Gumucio
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Review 3.  Basic helix-loop-helix genes in neural development.

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Journal:  Curr Opin Neurobiol       Date:  1997-02       Impact factor: 6.627

4.  Proliferative characteristics of the ependymal layer during the early development of the mouse diencephalon, as revealed by recording the number, location, and plane of cleavage of mitotic figures.

Authors:  I H Smart
Journal:  J Anat       Date:  1972-10       Impact factor: 2.610

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Journal:  Cell       Date:  2013-04-25       Impact factor: 41.582

6.  Cadherin-based adhesions in the apical endfoot are required for active Notch signaling to control neurogenesis in vertebrates.

Authors:  Jun Hatakeyama; Yoshio Wakamatsu; Akira Nagafuchi; Ryoichiro Kageyama; Ryuichi Shigemoto; Kenji Shimamura
Journal:  Development       Date:  2014-04       Impact factor: 6.868

7.  Interkinetic nuclear migration and the selection of neurogenic cell divisions during vertebrate retinogenesis.

Authors:  Lisa M Baye; Brian A Link
Journal:  J Neurosci       Date:  2007-09-19       Impact factor: 6.167

8.  In toto imaging of embryogenesis with confocal time-lapse microscopy.

Authors:  Sean G Megason
Journal:  Methods Mol Biol       Date:  2009

9.  Cell-Cell Contact Area Affects Notch Signaling and Notch-Dependent Patterning.

Authors:  Oren Shaya; Udi Binshtok; Micha Hersch; Dmitri Rivkin; Sheila Weinreb; Liat Amir-Zilberstein; Bassma Khamaisi; Olya Oppenheim; Ravi A Desai; Richard J Goodyear; Guy P Richardson; Christopher S Chen; David Sprinzak
Journal:  Dev Cell       Date:  2017-03-13       Impact factor: 12.270

10.  Actomyosin is the main driver of interkinetic nuclear migration in the retina.

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Journal:  Cell       Date:  2009-09-18       Impact factor: 41.582

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Review 3.  Regulation of size and scale in vertebrate spinal cord development.

Authors:  Katarzyna Kuzmicz-Kowalska; Anna Kicheva
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2020-05-11       Impact factor: 5.814

4.  Polyacrylamide Bead Sensors for in vivo Quantification of Cell-Scale Stress in Zebrafish Development.

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Journal:  Sci Rep       Date:  2019-11-19       Impact factor: 4.379

5.  Interkinetic nuclear movements promote apical expansion in pseudostratified epithelia at the expense of apicobasal elongation.

Authors:  Marina A Ferreira; Evangeline Despin-Guitard; Fernando Duarte; Pierre Degond; Eric Theveneau
Journal:  PLoS Comput Biol       Date:  2019-12-23       Impact factor: 4.475

  5 in total

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