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人脑细胞图谱整合了跨人类大脑区域的单细胞转录组数据。

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

机构信息

Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, China.

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.

出版信息

Nat Med. 2024 Sep;30(9):2679-2691. doi: 10.1038/s41591-024-03150-z. Epub 2024 Aug 2.

Abstract

While single-cell technologies have greatly advanced our comprehension of human brain cell types and functions, studies including large numbers of donors and multiple brain regions are needed to extend our understanding of brain cell heterogeneity. Integrating atlas-level single-cell data presents a chance to reveal rare cell types and cellular heterogeneity across brain regions. Here we present the Brain Cell Atlas, a comprehensive reference atlas of brain cells, by assembling single-cell data from 70 human and 103 mouse studies of the brain throughout major developmental stages across brain regions, covering over 26.3 million cells or nuclei from both healthy and diseased tissues. Using machine-learning based algorithms, the Brain Cell Atlas provides a consensus cell type annotation, and it showcases the identification of putative neural progenitor cells and a cell subpopulation of PCDH9 microglia in the human brain. We demonstrate the gene regulatory difference of PCDH9 microglia between hippocampus and prefrontal cortex and elucidate the cell-cell communication network. The Brain Cell Atlas presents an atlas-level integrative resource for comparing brain cells in different environments and conditions within the Human Cell Atlas.

摘要

虽然单细胞技术极大地提高了我们对人类脑细胞类型和功能的理解,但需要包括大量供体和多个脑区的研究来扩展我们对脑细胞异质性的认识。整合图谱级别的单细胞数据为揭示大脑区域之间的稀有细胞类型和细胞异质性提供了机会。在这里,我们展示了大脑细胞图谱,这是一个全面的大脑细胞参考图谱,它整合了来自 70 个人类和 103 个小鼠的大脑单细胞数据,涵盖了主要发育阶段的多个脑区,包括来自健康和患病组织的超过 2630 万个细胞或核。该图谱使用基于机器学习的算法提供了一致的细胞类型注释,并展示了人类大脑中神经祖细胞和 PCDH9 小胶质细胞的潜在细胞亚群的鉴定。我们证明了 PCDH9 小胶质细胞在海马体和前额叶皮层之间的基因调控差异,并阐明了细胞间通讯网络。大脑细胞图谱为人类细胞图谱中比较不同环境和条件下的大脑细胞提供了图谱级别的综合资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542c/11405287/8de5a996640a/41591_2024_3150_Fig1_HTML.jpg

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