Cellular anatomy of the mouse primary motor cortex

An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted 1 . Here, as part of the collaborative Brain Initiative Cell Census Ne...

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Vydáno v:Nature (London) Ročník 598; číslo 7879; s. 159 - 166
Hlavní autoři: Muñoz-Castañeda, Rodrigo, Zingg, Brian, Matho, Katherine S., Chen, Xiaoyin, Wang, Quanxin, Foster, Nicholas N., Li, Anan, Narasimhan, Arun, Hirokawa, Karla E., Huo, Bingxing, Bannerjee, Samik, Korobkova, Laura, Park, Chris Sin, Park, Young-Gyun, Bienkowski, Michael S., Chon, Uree, Wheeler, Diek W., Li, Xiangning, Wang, Yun, Naeemi, Maitham, Xie, Peng, Liu, Lijuan, Kelly, Kathleen, An, Xu, Attili, Sarojini M., Bowman, Ian, Bludova, Anastasiia, Cetin, Ali, Ding, Liya, Drewes, Rhonda, D’Orazi, Florence, Elowsky, Corey, Fischer, Stephan, Galbavy, William, Gao, Lei, Gillis, Jesse, Groblewski, Peter A., Gou, Lin, Hahn, Joel D., Hatfield, Joshua T., Hintiryan, Houri, Huang, Junxiang Jason, Kondo, Hideki, Kuang, Xiuli, Lesnar, Philip, Li, Xu, Li, Yaoyao, Lin, Mengkuan, Lo, Darrick, Mizrachi, Judith, Mok, Stephanie, Nicovich, Philip R., Palaniswamy, Ramesh, Palmer, Jason, Qi, Xiaoli, Shen, Elise, Sun, Yu-Chi, Tao, Huizhong W., Wakemen, Wayne, Wang, Yimin, Yao, Shenqin, Yuan, Jing, Zhan, Huiqing, Zhu, Muye, Ng, Lydia, Zhang, Li I., Lim, Byung Kook, Hawrylycz, Michael, Gong, Hui, Gee, James C., Kim, Yongsoo, Chung, Kwanghun, Yang, X. William, Peng, Hanchuan, Luo, Qingming, Mitra, Partha P., Zador, Anthony M., Zeng, Hongkui, Ascoli, Giorgio A., Josh Huang, Z., Osten, Pavel, Harris, Julie A., Dong, Hong-Wei
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Nature Publishing Group UK 07.10.2021
Nature Publishing Group
Témata:
14/1
14/19
14/34
14/63
14/69
631/378/2632/1663
631/378/3920
Anatomy
Animals
Atlases as Topic
Bioinformatics
Brain
Brain architecture
Cellular structure
Circuits
Collaboration
Cortex (motor)
Datasets
Female
GABAergic Neurons - cytology
GABAergic Neurons - metabolism
Gene expression
Glutamates - metabolism
Humanities and Social Sciences
Image reconstruction
Labeling
Laboratories
Male
Medical imaging
Mice
Mice, Inbred C57BL
Motor Cortex - anatomy & histology
Motor Cortex - cytology
Motor task performance
multidisciplinary
Neuroimaging
Neurons
Neurons - classification
Neurons - cytology
Neurons - metabolism
Organ Specificity
Science
Science (multidisciplinary)
Sequence Analysis, RNA
Single-Cell Analysis
Spinal cord
Tropical diseases
Wiring
ISSN:0028-0836, 1476-4687, 1476-4687
On-line přístup:Získat plný text
Tagy: Přidat tag
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Abstract An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted 1 . Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an input–output wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture. Multi-modal analysis is used to generate a 3D atlas of the upper limb area of the mouse primary motor cortex, providing a framework for future studies of motor control circuitry.
AbstractList An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted 1 . Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an input–output wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture.
An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted 1 . Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an input–output wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture. Multi-modal analysis is used to generate a 3D atlas of the upper limb area of the mouse primary motor cortex, providing a framework for future studies of motor control circuitry.
An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted . Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an input-output wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture.
An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted1. Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an input–output wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture. Multi-modal analysis is used to generate a 3D atlas of the upper limb area of the mouse primary motor cortex, providing a framework for future studies of motor control circuitry.
An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted1. Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an inputoutput wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture.
An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted1. Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an input-output wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture.An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted1. Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an input-output wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture.
Author Galbavy, William
Qi, Xiaoli
Attili, Sarojini M.
Ding, Liya
Zingg, Brian
Nicovich, Philip R.
Hahn, Joel D.
Bludova, Anastasiia
Gong, Hui
Luo, Qingming
Yang, X. William
Tao, Huizhong W.
Li, Yaoyao
Zhang, Li I.
Wheeler, Diek W.
Park, Young-Gyun
Harris, Julie A.
Zador, Anthony M.
Zhan, Huiqing
Korobkova, Laura
Li, Xu
Chon, Uree
Lesnar, Philip
Shen, Elise
Wakemen, Wayne
Zeng, Hongkui
D’Orazi, Florence
Liu, Lijuan
Li, Anan
Bienkowski, Michael S.
Kim, Yongsoo
Bowman, Ian
Wang, Yun
Matho, Katherine S.
Palmer, Jason
Ascoli, Giorgio A.
Fischer, Stephan
Drewes, Rhonda
Chung, Kwanghun
Xie, Peng
Ng, Lydia
Josh Huang, Z.
Cetin, Ali
Muñoz-Castañeda, Rodrigo
Wang, Quanxin
Hawrylycz, Michael
Gee, James C.
Zhu, Muye
Lo, Darrick
An, Xu
Huo, Bingxing
Yao, Shenqin
Chen, Xiaoyin
Gou, Lin
Hatfield, Joshua T.
Mizrachi, Judith
Li, Xiangning
Bannerjee, Samik
Mok, Stephanie
Narasimhan, Arun
Kuang, Xiuli
Lim, Byung Kook
Mitra, Partha P.
Hirokawa, Karla E.
Palaniswamy, Ramesh
Naeemi, Maitham
Kelly, Kathleen
Osten, Pavel
Huang, Junxiang Jason
Sun, Yu-Chi
Elowsky, Corey
Kondo, Hideki
Fo
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Copyright The Author(s) 2021
2021. The Author(s).
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Snippet An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning...
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SubjectTerms 14/1
14/19
14/34
14/63
14/69
631/378/2632/1663
631/378/3920
Anatomy
Animals
Atlases as Topic
Bioinformatics
Brain
Brain architecture
Cellular structure
Circuits
Collaboration
Cortex (motor)
Datasets
Female
GABAergic Neurons - cytology
GABAergic Neurons - metabolism
Gene expression
Glutamates - metabolism
Humanities and Social Sciences
Image reconstruction
Labeling
Laboratories
Male
Medical imaging
Mice
Mice, Inbred C57BL
Motor Cortex - anatomy & histology
Motor Cortex - cytology
Motor task performance
multidisciplinary
Neuroimaging
Neurons
Neurons - classification
Neurons - cytology
Neurons - metabolism
Organ Specificity
Science
Science (multidisciplinary)
Sequence Analysis, RNA
Single-Cell Analysis
Spinal cord
Tropical diseases
Wiring
Title Cellular anatomy of the mouse primary motor cortex
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Volume 598
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