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Spatial transcriptomic survey of human embryonic cerebral cortex by single-cell RNA-seq analysis
Xiaoying Fan1,2, Ji Dong1,2, Suijuan Zhong3,4,5
1Beijing Advanced Innovation Center for Genomics, Department of Obstetrics and Gynecology, College of Life Sciences, Third Hospital, Peking University, Beijing, 100871, China.
This study maps the human cerebral cortex's cellular landscape during development using single-cell RNA sequencing. It reveals regional gene expression patterns and asynchronous neuron maturation, identifying crucial developmental genes.
Area of Science:
- Neuroscience
- Developmental Biology
- Genomics
Background:
- Human brain development is complex, but regional cerebral cortex characterization via single-cell transcriptomics is lacking.
- Understanding early cellular and molecular events is crucial for deciphering brain development.
Purpose of the Study:
- To provide a comprehensive regional characterization of the human cerebral cortex using single-cell transcriptome analysis.
- To identify cell sub-clusters, regional gene expression patterns, and neuron maturation dynamics during embryonic development.
Main Methods:
- RNA sequencing (RNA-seq) was performed on over 4,000 individual cells.
- Cells were sourced from 22 distinct brain regions of human mid-gestation embryos.
- Bioinformatic analysis identified 29 cell sub-clusters and regional gene expression profiles.
Main Results:
- Identified 29 distinct cell sub-clusters with varying proportions across 22 brain regions.
- Observed asynchronous neuron maturation, with dorsal regions appearing more mature than ventral regions.
- Discovered region-specific genes in neuronal sub-clusters, many linked to neural diseases.
Conclusions:
- Presents a systematic landscape of regional gene expression and neuron maturation in the developing human cerebral cortex.
- Highlights the importance of regionalization and asynchronous development in early human brain formation.
- Identified numerous neural disease-related genes, offering insights into developmental neuropathologies.
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