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Related Experiment Video

Updated: Aug 26, 2025

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Comparing the development of cortex-wide gene expression patterns between two species in a common reference frame.

Sebastian S James1, Mackenzie Englund2, Riley Bottom3

  • 1Department of Psychology, University of Sheffield, Sheffield S10 2TN, United Kingdom.

Proceedings of the National Academy of Sciences of the United States of America
|October 6, 2022
PubMed
Summary
This summary is machine-generated.

New methods allow comparing gene expression patterns in developing brains. Mouse and vole neocortex development shows conserved RZRβ patterns but different timing, reflecting independent evolution.

Keywords:
brain developmentbrain evolutioncortical arealizationevo-devoneocortex

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Area of Science:

  • Developmental biology
  • Evolutionary biology
  • Neuroscience

Background:

  • Comparative gene expression studies are crucial for understanding evolution and development.
  • Limited methods exist for quantifying spatial gene expression, hindering comparative analysis.

Purpose of the Study:

  • To develop and apply novel methods for quantifying and comparing tissue-wide spatial gene expression patterns.
  • To investigate the developmental patterns of RZRβ and Id2 mRNA in the mouse and vole neocortex.

Main Methods:

  • Development of new software tools for gene expression quantification.
  • Comparative analysis of cortex-wide RZRβ and Id2 mRNA expression during early postnatal development in mice and voles.

Main Results:

  • RZRβ expression in neocortical layer 4 is conserved but develops faster in voles than mice.
  • Mice exhibit a rapid expansion of the primary visual area in the first postnatal week.
  • Id2 expression follows a consistent, dynamic, and layer-specific sequence in both species.

Conclusions:

  • Differences in neocortical patterning reflect independent evolution of brains, bodies, and sensory systems.
  • The developed methods enable robust comparisons of spatial gene expression across species and developmental stages.