Suppr超能文献

全小鼠脑内细胞类型的高分辨率转录组学和空间图谱。

A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain.

作者信息

Yao Zizhen, van Velthoven Cindy T J, Kunst Michael, Zhang Meng, McMillen Delissa, Lee Changkyu, Jung Won, Goldy Jeff, Abdelhak Aliya, Baker Pamela, Barkan Eliza, Bertagnolli Darren, Campos Jazmin, Carey Daniel, Casper Tamara, Chakka Anish Bhaswanth, Chakrabarty Rushil, Chavan Sakshi, Chen Min, Clark Michael, Close Jennie, Crichton Kirsten, Daniel Scott, Dolbeare Tim, Ellingwood Lauren, Gee James, Glandon Alexandra, Gloe Jessica, Gould Joshua, Gray James, Guilford Nathan, Guzman Junitta, Hirschstein Daniel, Ho Windy, Jin Kelly, Kroll Matthew, Lathia Kanan, Leon Arielle, Long Brian, Maltzer Zoe, Martin Naomi, McCue Rachel, Meyerdierks Emma, Nguyen Thuc Nghi, Pham Trangthanh, Rimorin Christine, Ruiz Augustin, Shapovalova Nadiya, Slaughterbeck Cliff, Sulc Josef, Tieu Michael, Torkelson Amy, Tung Herman, Cuevas Nasmil Valera, Wadhwani Katherine, Ward Katelyn, Levi Boaz, Farrell Colin, Thompson Carol L, Mufti Shoaib, Pagan Chelsea M, Kruse Lauren, Dee Nick, Sunkin Susan M, Esposito Luke, Hawrylycz Michael J, Waters Jack, Ng Lydia, Smith Kimberly A, Tasic Bosiljka, Zhuang Xiaowei, Zeng Hongkui

机构信息

Allen Institute for Brain Science, Seattle, WA, USA.

Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Harvard University, Cambridge, MA, USA.

出版信息

bioRxiv. 2023 Mar 6:2023.03.06.531121. doi: 10.1101/2023.03.06.531121.

Abstract

The mammalian brain is composed of millions to billions of cells that are organized into numerous cell types with specific spatial distribution patterns and structural and functional properties. An essential step towards understanding brain function is to obtain a parts list, i.e., a catalog of cell types, of the brain. Here, we report a comprehensive and high-resolution transcriptomic and spatial cell type atlas for the whole adult mouse brain. The cell type atlas was created based on the combination of two single-cell-level, whole-brain-scale datasets: a single-cell RNA-sequencing (scRNA-seq) dataset of ~7 million cells profiled, and a spatially resolved transcriptomic dataset of ~4.3 million cells using MERFISH. The atlas is hierarchically organized into five nested levels of classification: 7 divisions, 32 classes, 306 subclasses, 1,045 supertypes and 5,200 clusters. We systematically analyzed the neuronal, non-neuronal, and immature neuronal cell types across the brain and identified a high degree of correspondence between transcriptomic identity and spatial specificity for each cell type. The results reveal unique features of cell type organization in different brain regions, in particular, a dichotomy between the dorsal and ventral parts of the brain: the dorsal part contains relatively fewer yet highly divergent neuronal types, whereas the ventral part contains more numerous neuronal types that are more closely related to each other. We also systematically characterized cell-type specific expression of neurotransmitters, neuropeptides, and transcription factors. The study uncovered extraordinary diversity and heterogeneity in neurotransmitter and neuropeptide expression and co-expression patterns in different cell types across the brain, suggesting they mediate a myriad of modes of intercellular communications. Finally, we found that transcription factors are major determinants of cell type classification in the adult mouse brain and identified a combinatorial transcription factor code that defines cell types across all parts of the brain. The whole-mouse-brain transcriptomic and spatial cell type atlas establishes a benchmark reference atlas and a foundational resource for deep and integrative investigations of cell type and circuit function, development, and evolution of the mammalian brain.

摘要

哺乳动物的大脑由数百万到数十亿个细胞组成,这些细胞被组织成众多具有特定空间分布模式以及结构和功能特性的细胞类型。理解大脑功能的一个关键步骤是获取大脑的“零件清单”,即细胞类型目录。在此,我们报告了一份针对成年小鼠全脑的全面且高分辨率的转录组学和空间细胞类型图谱。该细胞类型图谱是基于两个单细胞水平、全脑规模的数据集组合创建的:一个对约700万个细胞进行分析的单细胞RNA测序(scRNA-seq)数据集,以及一个使用MERFISH对约430万个细胞进行空间分辨转录组学分析的数据集。该图谱被分层组织为五个嵌套的分类级别:7个分区、32个类别、306个子类别、1045个超类型和5200个簇。我们系统地分析了全脑中的神经元、非神经元和未成熟神经元细胞类型,并确定了每种细胞类型在转录组特征和空间特异性之间的高度对应关系。结果揭示了不同脑区细胞类型组织的独特特征,特别是大脑背侧和腹侧部分之间的二分法:背侧部分包含相对较少但高度多样化的神经元类型,而腹侧部分包含更多彼此关系更密切的神经元类型。我们还系统地表征了神经递质、神经肽和转录因子的细胞类型特异性表达。该研究揭示了大脑不同细胞类型中神经递质和神经肽表达及共表达模式的非凡多样性和异质性,表明它们介导了多种细胞间通讯方式。最后,我们发现转录因子是成年小鼠大脑中细胞类型分类的主要决定因素,并确定了一个组合转录因子代码,该代码定义了大脑所有部分的细胞类型。全小鼠脑转录组学和空间细胞类型图谱为深入综合研究哺乳动物大脑的细胞类型、回路功能、发育和进化建立了一个基准参考图谱和基础资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e10e/10081189/1a121e40df79/nihpp-2023.03.06.531121v1-f0007.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验