BICAN: Cell Census of Developing Brain
Whole-cortex in situ sequencing reveals input-dependent area identity
core
Authors
Xiaoyin Chen, Stephan Fischer, Mara C. P. Rue, Aixin Zhang, Didhiti Mukherjee, Patrick O. Kanold, Jesse Gillis & Anthony M. Zador
Citation
Chen, X., Fischer, S., Rue, M.C.P. et al. Whole-cortex in situ sequencing reveals input-dependent area identity. Nature (2024). https://doi.org/10.1038/s41586-024-07221-6
Summary
This study uses BARseq in 10.3 million cells across the mouse forebrain to map transcriptomic cell types in situ, revealing that the composition of neuronal transcriptomic types strongly predicts cortical area identity and aligns with modular connectivity patterns. Perturbing sensory input via neonatal enucleation shifts these molecular profiles toward neighboring areas within the same module, showing that peripheral input helps sharpen area-specific transcriptomic identities during development.
Data and Tools
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