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

Authors :
Yao, Zizhen
van Velthoven, Cindy T. J.
Kunst, Michael
Zhang, Meng
McMillen, Delissa
Lee, Changkyu
Jung, Won
Goldy, Jeff
Abdelhak, Aliya
Aitken, Matthew
Baker, Katherine
Baker, Pamela
Barkan, Eliza
Bertagnolli, Darren
Bhandiwad, Ashwin
Bielstein, Cameron
Bishwakarma, Prajal
Campos, Jazmin
Carey, Daniel
Casper, Tamara
Chakka, Anish Bhaswanth
Chakrabarty, Rushil
Chavan, Sakshi
Chen, Min
Clark, Michael
Close, Jennie
Crichton, Kirsten
Daniel, Scott
DiValentin, Peter
Dolbeare, Tim
Ellingwood, Lauren
Fiabane, Elysha
Fliss, Timothy
Gee, James
Gerstenberger, James
Glandon, Alexandra
Gloe, Jessica
Gould, Joshua
Gray, James
Guilford, Nathan
Guzman, Junitta
Hirschstein, Daniel
Ho, Windy
Hooper, Marcus
Huang, Mike
Hupp, Madie
Jin, Kelly
Kroll, Matthew
Lathia, Kanan
Leon, Arielle
Li, Su
Long, Brian
Madigan, Zach
Malloy, Jessica
Malone, Jocelin
Maltzer, Zoe
Martin, Naomi
McCue, Rachel
McGinty, Ryan
Mei, Nicholas
Melchor, Jose
Meyerdierks, Emma
Mollenkopf, Tyler
Moonsman, Skyler
Nguyen, Thuc Nghi
Otto, Sven
Pham, Trangthanh
Rimorin, Christine
Ruiz, Augustin
Sanchez, Raymond
Sawyer, Lane
Shapovalova, Nadiya
Shepard, Noah
Slaughterbeck, Cliff
Sulc, Josef
Tieu, Michael
Torkelson, Amy
Tung, Herman
Valera Cuevas, Nasmil
Vance, Shane
Wadhwani, Katherine
Ward, Katelyn
Levi, Boaz
Farrell, Colin
Young, Rob
Staats, Brian
Wang, Ming-Qiang Michael
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
Tasic, Bosiljka
Zhuang, Xiaowei
Zeng, Hongkui
Source :
Nature; December 2023, Vol. 624 Issue: 7991 p317-332, 16p
Publication Year :
2023

Abstract

The mammalian brain consists of millions to billions of cells that are organized into many cell types with specific spatial distribution patterns and structural and functional properties1–3. 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 by combining a single-cell RNA-sequencing (scRNA-seq) dataset of around 7 million cells profiled (approximately 4.0 million cells passing quality control), and a spatial transcriptomic dataset of approximately 4.3 million cells using multiplexed error-robust fluorescence in situ hybridization (MERFISH). The atlas is hierarchically organized into 4 nested levels of classification: 34 classes, 338 subclasses, 1,201 supertypes and 5,322 clusters. We present an online platform, Allen Brain Cell Atlas, to visualize the mouse whole-brain cell-type atlas along with the single-cell RNA-sequencing and MERFISH datasets. We systematically analysed the neuronal and non-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. Our study also uncovered extraordinary diversity and heterogeneity in neurotransmitter and neuropeptide expression and co-expression patterns in different cell types. Finally, we found that transcription factors are major determinants of cell-type classification 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 integrative investigations of cellular and circuit function, development and evolution of the mammalian brain.

Details

Language :
English
ISSN :
00280836 and 14764687
Volume :
624
Issue :
7991
Database :
Supplemental Index
Journal :
Nature
Publication Type :
Periodical
Accession number :
ejs64912404
Full Text :
https://doi.org/10.1038/s41586-023-06812-z