A brain cell atlas integrating single-cell transcriptomes across human brain regions.

Area of Science:

• Neuroscience
• Genomics
• Computational Biology

Background:

• Single-cell technologies have advanced brain cell understanding but require larger datasets for comprehensive heterogeneity analysis.
• Integrating large-scale single-cell data across multiple brain regions and donors is crucial for mapping cellular diversity.

Purpose of the Study:

• To create a comprehensive reference atlas of brain cells by integrating extensive single-cell data.
• To identify rare cell types and understand cellular heterogeneity across diverse brain regions and conditions.

Main Methods:

• Assembled single-cell data from 70 human and 103 mouse studies, covering over 26.3 million cells/nuclei.
• Utilized machine-learning algorithms for consensus cell type annotation.
• Analyzed gene regulatory differences and cell-cell communication networks.

Main Results:

• Developed the Brain Cell Atlas, a large-scale integrative resource for brain cell research.
• Identified putative neural progenitor cells and a novel PCDH9high microglia subpopulation in the human brain.
• Demonstrated gene regulatory variations in PCDH9high microglia between brain regions (hippocampus and prefrontal cortex).

Conclusions:

• The Brain Cell Atlas provides an unprecedented resource for studying brain cell diversity and function.
• This atlas facilitates comparative analyses of brain cells across different environments and conditions.
• Highlights the potential for discovering novel cell types and understanding regional specificity in brain cell populations.