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Updated: Jul 16, 2025

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Isolation of Adult Human Astrocyte Populations from Fresh-Frozen Cortex Using Fluorescence-Activated Nuclei Sorting
Published on: April 16, 2021
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Longitudinal scRNA-seq analysis in mouse and human informs optimization of rapid mouse astrocyte differentiation
Paul W Frazel1, David Labib2, Theodore Fisher3
1Neuroscience Institute, NYU Grossman School of Medicine, New York City, NY, USA. paul.frazel@nyulangone.org.
Nature Neuroscience
|September 11, 2023
Summary
This study reveals key genes and regulatory elements guiding macroglia (astrocytes and oligodendrocytes) development using single-cell sequencing. Optimized protocols and new insights into human glial differentiation are provided.
Area of Science:
- Neuroscience
- Developmental Biology
- Genomics
Background:
- Macroglia, including astrocytes and oligodendrocytes, are crucial for central nervous system development and function.
- Significant knowledge gaps persist regarding the precise mechanisms of macroglia emergence during brain and spinal cord development.
Purpose of the Study:
- To investigate macroglia differentiation using advanced single-cell technologies.
- To identify candidate genes and regulatory elements governing glial fate specification.
- To optimize existing astrocyte differentiation protocols.
Main Methods:
- Single-cell/single-nucleus RNA sequencing (scRNA-seq/snRNA-seq) of over 298,000 cells and nuclei from mouse embryonic and human-induced pluripotent stem cells.
- Computational analysis to identify candidate genes and assess marker expression heterogeneity.
- Multi-omic, dual single-nuclei (sn)RNA-seq/snATAC-seq analysis.
Main Results:
- Identification of candidate genes involved in glial fate specification across species.
- Observation of heterogeneous expression patterns for astrocyte surface markers.
- Optimization of a mouse astrocyte differentiation protocol, reducing its length and complexity.
- Uncovering potential genomic regulatory sites mediating glial differentiation.
Conclusions:
- The study provides valuable transcriptomic datasets for future optimization of glial differentiation protocols.
- New insights into the genetic and regulatory landscape of human glial differentiation are offered.
- The findings advance our understanding of macroglia development in the central nervous system.

