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

Author:

Yao ZizhenORCID,van Velthoven Cindy T. J.ORCID,Kunst Michael,Zhang MengORCID,McMillen DelissaORCID,Lee Changkyu,Jung WonORCID,Goldy Jeff,Abdelhak Aliya,Aitken Matthew,Baker KatherineORCID,Baker Pamela,Barkan Eliza,Bertagnolli Darren,Bhandiwad Ashwin,Bielstein Cameron,Bishwakarma Prajal,Campos Jazmin,Carey Daniel,Casper Tamara,Chakka Anish Bhaswanth,Chakrabarty RushilORCID,Chavan Sakshi,Chen Min,Clark Michael,Close Jennie,Crichton Kirsten,Daniel Scott,DiValentin Peter,Dolbeare Tim,Ellingwood Lauren,Fiabane ElyshaORCID,Fliss Timothy,Gee James,Gerstenberger James,Glandon AlexandraORCID,Gloe JessicaORCID,Gould Joshua,Gray James,Guilford NathanORCID,Guzman Junitta,Hirschstein Daniel,Ho Windy,Hooper Marcus,Huang Mike,Hupp MadieORCID,Jin Kelly,Kroll Matthew,Lathia Kanan,Leon Arielle,Li Su,Long BrianORCID,Madigan Zach,Malloy Jessica,Malone JocelinORCID,Maltzer Zoe,Martin Naomi,McCue Rachel,McGinty Ryan,Mei Nicholas,Melchor Jose,Meyerdierks Emma,Mollenkopf Tyler,Moonsman SkylerORCID,Nguyen Thuc Nghi,Otto SvenORCID,Pham TrangthanhORCID,Rimorin Christine,Ruiz AugustinORCID,Sanchez RaymondORCID,Sawyer Lane,Shapovalova Nadiya,Shepard Noah,Slaughterbeck Cliff,Sulc Josef,Tieu Michael,Torkelson Amy,Tung Herman,Valera Cuevas Nasmil,Vance ShaneORCID,Wadhwani Katherine,Ward Katelyn,Levi BoazORCID,Farrell ColinORCID,Young Rob,Staats Brian,Wang Ming-Qiang Michael,Thompson Carol L.,Mufti ShoaibORCID,Pagan Chelsea M.ORCID,Kruse LaurenORCID,Dee Nick,Sunkin Susan M.,Esposito Luke,Hawrylycz Michael J.ORCID,Waters JackORCID,Ng Lydia,Smith KimberlyORCID,Tasic BosiljkaORCID,Zhuang XiaoweiORCID,Zeng HongkuiORCID

Abstract

AbstractThe 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.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3