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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Nature (London) Ročník 598; číslo 7879; s. 159 - 166
Hlavní autori:	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:	English
Vydavateľské údaje:	London Nature Publishing Group UK 07.10.2021 Nature Publishing Group
Predmet:	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 prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Popis
Shrnutí:	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.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	0028-0836 1476-4687 1476-4687
DOI:	10.1038/s41586-021-03970-w