A multi-omic single-cell landscape of cellular diversification in the developing human cerebral cortex

Area of Science:

• Neuroscience
• Developmental Biology
• Genomics

Background:

• The human neocortex exhibits vast neuronal diversity crucial for complex cognitive functions.
• Previous studies using unimodal data struggled to fully capture neuronal heterogeneity and developmental logic at single-cell resolution.
• Understanding the molecular mechanisms driving neocortical neuron diversification is essential.

Purpose of the Study:

• To comprehensively profile the developing human neocortex at single-cell resolution.
• To elucidate the regulatory mechanisms and molecular logic underlying neuronal diversification.
• To reconstruct differentiation trajectories and lineage bifurcation decisions.

Main Methods:

• Simultaneous profiling of gene expression and open chromatin from individual cells in the developing human neocortex.
• Computational reconstruction of excitatory projection neuron differentiation pathways.
• Inference of regulatory logic governing lineage decisions.

Main Results:

• Generated a comprehensive single-cell compendium of the developing human neocortex.
• Reconstructed differentiation trajectories for excitatory projection neurons.
• Identified progenitor cell lineage specificity and postmitotic differentiation stages as key drivers of neuronal diversity.
• Inferred the regulatory logic controlling lineage bifurcation.

Conclusions:

• Neuronal diversity in the human neocortex originates from a combination of progenitor lineage and stage-specific postmitotic differentiation.
• This study provides a foundational understanding of the coordinated regulatory logic governing neocortical neuronal diversification.
• The generated data serves as a valuable resource for future research into brain development and function.