Cell division angle predicts the level of tissue mechanics that tune the amount of cerebellar folding Journal Article


Authors: Cook, A. G.; Bishop, T. V.; Crowe, H. R.; Stevens, D. N.; Reine, L.; Joyner, A. L.; Lawton, A. K.
Article Title: Cell division angle predicts the level of tissue mechanics that tune the amount of cerebellar folding
Abstract: Modeling has led to proposals that the amount of neural tissue folding is set by the level of differential expansion between tissue layers and that the wavelength is set by the thickness of the outer layer. Here, we used inbred mouse strains with distinct amounts of cerebellar folding to investigate these predictions. We identified a distinct critical period during which the folding amount diverges between the two strains. In this period, regional changes in the level of differential expansion between the external granule layer (EGL) and underlying core correlate with the folding amount in each strain. Additionally, the thickness of the EGL varies regionally during the critical period alongside corresponding changes in wavelength. The number of SHH-expressing Purkinje cells predicts the folding amount, but the proliferation rate in the EGL is the same between the strains. However, regional changes in the cell division angle within the EGL predicts both the tangential expansion and the thickness of the EGL. Cell division angle is likely a tunable mechanism whereby both the level of differential expansion along the perimeter and the thickness of the EGL are regionally tuned to set the amount and wavelength of folding. © 2024. Published by The Company of Biologists Ltd.
Keywords: middle aged; nonhuman; mouse; animal; animals; mice; cerebellum; purkinje cell; purkinje cells; cell division; cell growth; prediction; therapy; nervous tissue; thickness; mechanics; male; article; brain folding; cell division angle; tissue mechanics
Journal Title: Development
Volume: 151
Issue: 3
ISSN: 0950-1991
Publisher: Company of Biologists  
Date Published: 2024-02-01
Start Page: dev202184
Language: English
DOI: 10.1242/dev.202184
PUBMED: 38251865
PROVIDER: scopus
PMCID: PMC10911135
DOI/URL:
Notes: Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PubMed and PDF -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Alexandra L Joyner
    98 Joyner