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Cell division angle regulates the tissue mechanics and tunes the amount of cerebellar folding.
Cook, Amber G; Bishop, Taylor V; Crowe, Hannah R; Stevens, Daniel; Reine, Lauren; Joyner, Alexandra L; Lawton, Andrew K.
Affiliation
  • Cook AG; Mississippi State University, United States.
  • Bishop TV; Mississippi State University, United States.
  • Crowe HR; Mississippi State University, United States.
  • Stevens D; Developmental Biology Program, Sloan Kettering Institute, United States.
  • Reine L; Mississippi State University, United States.
  • Joyner AL; Developmental Biology Program, Sloan Kettering Institute, United States.
  • Lawton AK; Mississippi State University, United States.
bioRxiv ; 2023 Jul 21.
Article in En | MEDLINE | ID: mdl-37503300
ABSTRACT
Modeling has proposed 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 critical period where the folding amount diverges between the 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 is regionally adjusted during the critical period alongside corresponding changes in wavelength. While the number of SHH-expressing Purkinje cells predicts the folding amount, 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 thickness of the EGL. Cell division angle is likely a tunable mechanism whereby both the level of differential-expansion and thickness of the EGL are regionally tuned to set the amount and wavelength of folding.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: BioRxiv Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: BioRxiv Year: 2023 Document type: Article