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Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

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Dynamic switching of lateral inhibition spatial patterns.

Joshua Hawley¹, Cerys Manning¹, Veronica Biga¹

¹Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK.

Journal of the Royal Society, Interface

|August 24, 2022

Summary

This summary is machine-generated.

Notch signaling dynamics in neural progenitors create spatial patterns and temporal switching of HES5 expression. This computational model explains complex tissue-level dynamics and predicts spaced differentiation events.

Keywords:

HES5 Notch signalling dynamic switching lateral inhibition neural tube spatial pattern

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Area of Science:

Developmental biology
Computational modeling
Systems biology

Background:

HES5 expression in neural progenitors exhibits spatial microclusters and temporal oscillations.
Existing models failed to replicate observed spatial periodicity and synchronized HES5 dynamics.

Purpose of the Study:

To develop a computational model that explains the complex spatial and temporal dynamics of HES5 expression in developing neural tissue.
To investigate the roles of non-neighboring Notch signaling and differentiating cell perturbations in HES5 patterning.

Main Methods:

Computational modeling of coupled HES5 gene regulatory networks.
Incorporation of extended Notch signaling to non-neighboring cells.
Introduction of perturbations from differentiating cells to Notch signaling.

Main Results:

Extending Notch signaling to non-neighboring progenitors generates correct spatial periodicity.
Perturbations from differentiating cells induce longer-timescale temporal switching in HES5 patterns.
The refined model successfully replicates experimental observations of HES5 dynamics.

Conclusions:

Non-neighboring Notch signaling and differentiating cell feedback are key mechanisms for HES5 spatial and temporal patterning.
The model provides insights into how dynamic patterning regulates differentiation timing.
This work advances understanding of gene regulatory network dynamics in development.