Agnes L. Bodor, Casey M. Schneider-Mizell, Chi Zhang, Leila Elabbady, Alex Mallen, Andi Bergeson, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Rachel Dalley, Clare Gamlin, Emily Joyce, Daniel Kapner, Sam Kinn, Gayathri Mahalingam, Sharmishtaa Seshamani, Shelby Suckow, Marc Takeno, Russel Torres, Wenjing Yin, J. Alexander Bae, Manuel A. Castro, Sven Dorkenwald, Akhilesh Halageri, Zhen Jia, Chris Jordan, Nico Kemnitz, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Sergiy Popovych, William Silversmith, Nicholas L. Turner, Szi-chieh Yu, William Wong, Jingpeng Wu, Brendan Celii, Luke Campagnola, Stephanie C. Seeman, Tim Jarsky, Naixin Ren, Anton Arkhipov, Jacob Reimer, H. Sebastian Seung, R. Clay Reid, Forrest Collman, Nuno Maçarico da Costa
{"title":"小鼠视觉皮层第5层厚丛状兴奋性神经元的突触结构","authors":"Agnes L. Bodor, Casey M. Schneider-Mizell, Chi Zhang, Leila Elabbady, Alex Mallen, Andi Bergeson, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Rachel Dalley, Clare Gamlin, Emily Joyce, Daniel Kapner, Sam Kinn, Gayathri Mahalingam, Sharmishtaa Seshamani, Shelby Suckow, Marc Takeno, Russel Torres, Wenjing Yin, J. Alexander Bae, Manuel A. Castro, Sven Dorkenwald, Akhilesh Halageri, Zhen Jia, Chris Jordan, Nico Kemnitz, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Sergiy Popovych, William Silversmith, Nicholas L. Turner, Szi-chieh Yu, William Wong, Jingpeng Wu, Brendan Celii, Luke Campagnola, Stephanie C. Seeman, Tim Jarsky, Naixin Ren, Anton Arkhipov, Jacob Reimer, H. Sebastian Seung, R. Clay Reid, Forrest Collman, Nuno Maçarico da Costa","doi":"10.1038/s41593-025-02004-2","DOIUrl":null,"url":null,"abstract":"Despite significant progress in characterizing neocortical cell types, a complete understanding of the synaptic connections of individual excitatory cells remains elusive. This study investigates the connectivity of mouse visual cortex thick tufted layer 5 pyramidal cells, also known as extratelencephalic neurons (L5-ETns), using a 1 mm3 publicly available electron microscopy dataset. The analysis reveals that, in their immediate vicinity, L5-ETns primarily establish connections with a group of inhibitory cell types, which, in turn, specifically target the L5-ETns back. The most common excitatory targets of L5-ETns are layer 5 intertelencephalic neurons (L5-ITns) and layer 6 (L6) pyramidal cells, whereas synapses with other L5-ETns are less common. When L5-ETns extend their axons to other cortical regions, they tend to connect more with excitatory cells. Our results highlight a circuit motif where a subclass of excitatory cells forms a subcircuit with specific inhibitory cell types. This is achieved using a publicly available, automated approach for synapse recognition and automated cell typing, offering a framework for exploring the connectivity of other neuron types. This study maps the connections of layer 5 pyramidal neurons in the mouse cortex, revealing distinct local and intercortical wiring patterns, and provides an open framework for exploring the connectivity of cell types.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"28 8","pages":"1704-1715"},"PeriodicalIF":20.0000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41593-025-02004-2.pdf","citationCount":"0","resultStr":"{\"title\":\"The synaptic architecture of layer 5 thick tufted excitatory neurons in mouse visual cortex\",\"authors\":\"Agnes L. Bodor, Casey M. Schneider-Mizell, Chi Zhang, Leila Elabbady, Alex Mallen, Andi Bergeson, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Rachel Dalley, Clare Gamlin, Emily Joyce, Daniel Kapner, Sam Kinn, Gayathri Mahalingam, Sharmishtaa Seshamani, Shelby Suckow, Marc Takeno, Russel Torres, Wenjing Yin, J. Alexander Bae, Manuel A. Castro, Sven Dorkenwald, Akhilesh Halageri, Zhen Jia, Chris Jordan, Nico Kemnitz, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Sergiy Popovych, William Silversmith, Nicholas L. Turner, Szi-chieh Yu, William Wong, Jingpeng Wu, Brendan Celii, Luke Campagnola, Stephanie C. Seeman, Tim Jarsky, Naixin Ren, Anton Arkhipov, Jacob Reimer, H. Sebastian Seung, R. Clay Reid, Forrest Collman, Nuno Maçarico da Costa\",\"doi\":\"10.1038/s41593-025-02004-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite significant progress in characterizing neocortical cell types, a complete understanding of the synaptic connections of individual excitatory cells remains elusive. 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The synaptic architecture of layer 5 thick tufted excitatory neurons in mouse visual cortex
Despite significant progress in characterizing neocortical cell types, a complete understanding of the synaptic connections of individual excitatory cells remains elusive. This study investigates the connectivity of mouse visual cortex thick tufted layer 5 pyramidal cells, also known as extratelencephalic neurons (L5-ETns), using a 1 mm3 publicly available electron microscopy dataset. The analysis reveals that, in their immediate vicinity, L5-ETns primarily establish connections with a group of inhibitory cell types, which, in turn, specifically target the L5-ETns back. The most common excitatory targets of L5-ETns are layer 5 intertelencephalic neurons (L5-ITns) and layer 6 (L6) pyramidal cells, whereas synapses with other L5-ETns are less common. When L5-ETns extend their axons to other cortical regions, they tend to connect more with excitatory cells. Our results highlight a circuit motif where a subclass of excitatory cells forms a subcircuit with specific inhibitory cell types. This is achieved using a publicly available, automated approach for synapse recognition and automated cell typing, offering a framework for exploring the connectivity of other neuron types. This study maps the connections of layer 5 pyramidal neurons in the mouse cortex, revealing distinct local and intercortical wiring patterns, and provides an open framework for exploring the connectivity of cell types.
期刊介绍:
Nature Neuroscience, a multidisciplinary journal, publishes papers of the utmost quality and significance across all realms of neuroscience. The editors welcome contributions spanning molecular, cellular, systems, and cognitive neuroscience, along with psychophysics, computational modeling, and nervous system disorders. While no area is off-limits, studies offering fundamental insights into nervous system function receive priority.
The journal offers high visibility to both readers and authors, fostering interdisciplinary communication and accessibility to a broad audience. It maintains high standards of copy editing and production, rigorous peer review, rapid publication, and operates independently from academic societies and other vested interests.
In addition to primary research, Nature Neuroscience features news and views, reviews, editorials, commentaries, perspectives, book reviews, and correspondence, aiming to serve as the voice of the global neuroscience community.