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A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081189/ https://www.ncbi.nlm.nih.gov/pubmed/37034735 http://dx.doi.org/10.1101/2023.03.06.531121 |
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author | 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 |
author_facet | 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 |
author_sort | Yao, Zizhen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10081189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-100811892023-04-08 A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain 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 bioRxiv Article 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. Cold Spring Harbor Laboratory 2023-03-06 /pmc/articles/PMC10081189/ /pubmed/37034735 http://dx.doi.org/10.1101/2023.03.06.531121 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article 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 A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain |
title | A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain |
title_full | A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain |
title_fullStr | A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain |
title_full_unstemmed | A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain |
title_short | A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain |
title_sort | high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081189/ https://www.ncbi.nlm.nih.gov/pubmed/37034735 http://dx.doi.org/10.1101/2023.03.06.531121 |
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