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Morello T, Kollmar R, Stewart M, Orman R. Latexin and calretinin together define a novel excitatory neuron subclass in the claustrum of the short-tailed fruit bat, Carollia perspicillata. Ann N Y Acad Sci 2025. [PMID: 40289365 DOI: 10.1111/nyas.15346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/30/2025]
Abstract
The claustrum is a telencephalic structure with inputs from and outputs to many other brain structures. This central arrangement has motivated research on the claustrum's role in cognition and highlights the need to understand its intrinsic connectivity. In the fruit bat, Carollia perspicillata, the large size of the claustrum offers access to its intrinsic structure. Previously, we defined the structure of the C. perspicillata claustrum with antibodies against latexin as an excitatory cell marker and against calcium-binding proteins as inhibitory cell markers. Using this immunohistochemical method, we have now identified an unexpected cell type with concurrent latexin and calretinin immunoreactivity. The calretinin+ neurons of the claustrum, including those that coexpress GAD67 (another inhibitory cell marker) and those that coexpress latexin, are located in the claustral shell subregion. Neuronal latexin+/calretinin+ somata are smaller than either latexin-/calretinin+ or latexin+/calretinin- somata. Since latexin labels glutamatergic neurons in multiple brain areas and has never been found to colocalize with GAD, we conclude that the latexin+/calretinin+ neurons in the claustral shell are excitatory. They represent one of three excitatory cell types that are identifiable in the claustral shell and demonstrate that calretinin can label both inhibitory and excitatory cells in the C. perspicillata claustrum.
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Affiliation(s)
- Timothy Morello
- Departments of Physiology & Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- Wilmer Eye Institute, Johns Hopkins Hospital, Baltimore, Maryland, USA
| | - Richard Kollmar
- Department of Cell Biology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- Department of Otolaryngology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Mark Stewart
- Departments of Physiology & Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- Department of Neurology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Rena Orman
- Departments of Physiology & Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
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2
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Lei Y, Liu Y, Wang M, Yuan N, Hou Y, Ding L, Zhu Z, Wu Z, Li C, Zheng M, Zhang R, Ribeiro Gomes AR, Xu Y, Luo Z, Liu Z, Chai Q, Misery P, Zhong Y, Song X, Lamy C, Cui W, Yu Q, Fang J, An Y, Tian Y, Liu Y, Sun X, Wang R, Li H, Song J, Tan X, Wang H, Wang S, Han L, Zhang Y, Li S, Wang K, Wang G, Zhou W, Liu J, Yu C, Zhang S, Chang L, Toplanaj D, Chen M, Liu J, Zhao Y, Ren B, Shi H, Zhang H, Yan H, Ma J, Wang L, Li Y, Zuo Y, Lu L, Gu L, Li S, Wang Y, He Y, Li S, Zhang Q, Lu Y, Dou Y, Liu Y, Zhao A, Zhang M, Zhang X, Xia Y, Zhang W, Cao H, Lu Z, Yu Z, Li X, Wang X, Liang Z, Xu S, Liu C, Zheng C, Xu C, Liu Z, Li C, Sun YG, Xu X, Dehay C, Vezoli J, Poo MM, Yao J, Liu L, Wei W, Kennedy H, Shen Z. Single-cell spatial transcriptome atlas and whole-brain connectivity of the macaque claustrum. Cell 2025:S0092-8674(25)00273-9. [PMID: 40185102 DOI: 10.1016/j.cell.2025.02.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 10/03/2024] [Accepted: 02/28/2025] [Indexed: 04/07/2025]
Abstract
Claustrum orchestrates brain functions via its connections with numerous brain regions, but its molecular and cellular organization remains unresolved. Single-nucleus RNA sequencing of 227,750 macaque claustral cells identified 48 transcriptome-defined cell types, with most glutamatergic neurons similar to deep-layer insular neurons. Comparison of macaque, marmoset, and mouse transcriptomes revealed macaque-specific cell types. Retrograde tracer injections at 67 cortical and 7 subcortical regions defined four distinct distribution zones of retrogradely labeled claustral neurons. Joint analysis of whole-brain connectivity and single-cell spatial transcriptome showed that these four zones containing distinct compositions of glutamatergic (but not GABAergic) cell types preferentially connected to specific brain regions with a strong ipsilateral bias. Several macaque-specific glutamatergic cell types in ventral vs. dorsal claustral zones selectively co-projected to two functionally related areas-entorhinal cortex and hippocampus vs. motor cortex and putamen, respectively. These data provide the basis for elucidating the neuronal organization underlying diverse claustral functions.
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Affiliation(s)
- Ying Lei
- BGI-Research, Hangzhou 310012, China; BGI-Research, Shenzhen 518103, China; Shanxi Medical University - BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - Yuxuan Liu
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Mingli Wang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; Lingang Laboratory, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Nini Yuan
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yujie Hou
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm U1208, Stem Cell and Brain Research Institute, Bron 69500, France
| | - Lingjun Ding
- BGI-Research, Hangzhou 310012, China; BGI-Research, Shenzhen 518103, China
| | - Zhiyong Zhu
- BGI-Research, Hangzhou 310012, China; BGI-Research, Shenzhen 518103, China
| | - Zihan Wu
- AI for Life Sciences Lab, Tencent, Shenzhen 518057, China
| | - Chao Li
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Mingyuan Zheng
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ruiyi Zhang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ana Rita Ribeiro Gomes
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm U1208, Stem Cell and Brain Research Institute, Bron 69500, France
| | - Yuanfang Xu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhaoke Luo
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm U1208, Stem Cell and Brain Research Institute, Bron 69500, France
| | - Zhen Liu
- Lingang Laboratory, Shanghai 200031, China
| | - Qinwen Chai
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Pierre Misery
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm U1208, Stem Cell and Brain Research Institute, Bron 69500, France
| | - Yanqing Zhong
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xinxiang Song
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Camille Lamy
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm U1208, Stem Cell and Brain Research Institute, Bron 69500, France
| | - Wei Cui
- BGI-Research, Qingdao 266555, China
| | - Qian Yu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jiao Fang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Yingjie An
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ye Tian
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Yiwen Liu
- Lingang Laboratory, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Xing Sun
- Lingang Laboratory, Shanghai 200031, China
| | - Ruiqi Wang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Huanhuan Li
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jingjing Song
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xing Tan
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - He Wang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shiwen Wang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ling Han
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | | | - Shenyu Li
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Kexin Wang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Guangling Wang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Wanqiu Zhou
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jianfeng Liu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Cong Yu
- BGI-Research, Qingdao 266555, China
| | - Shuzhen Zhang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Liangtang Chang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Dafina Toplanaj
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm U1208, Stem Cell and Brain Research Institute, Bron 69500, France
| | - Mengni Chen
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jiabing Liu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yun Zhao
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Biyu Ren
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hanyu Shi
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hui Zhang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Haotian Yan
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jianyun Ma
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Lina Wang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yan Li
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yichen Zuo
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Linjie Lu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Liqin Gu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shuting Li
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | | | - Yinying He
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | | | - Qi Zhang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yanbing Lu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yannong Dou
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yuan Liu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Anqi Zhao
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai 201602, China
| | - Minyuan Zhang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xinyan Zhang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ying Xia
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Wei Zhang
- Lingang Laboratory, Shanghai 200031, China
| | - Huateng Cao
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhiyue Lu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zixian Yu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xin Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Xiaofei Wang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhifeng Liang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Shengjin Xu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Cirong Liu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Changhong Zheng
- Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai 201602, China
| | - Chun Xu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Zhiyong Liu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Chengyu Li
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; Lingang Laboratory, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Yan-Gang Sun
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Xun Xu
- BGI-Research, Shenzhen 518103, China; Shanxi Medical University - BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan 030001, China
| | - Colette Dehay
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm U1208, Stem Cell and Brain Research Institute, Bron 69500, France
| | - Julien Vezoli
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm U1208, Stem Cell and Brain Research Institute, Bron 69500, France
| | - Mu-Ming Poo
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai 201602, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China
| | - Jianhua Yao
- AI for Life Sciences Lab, Tencent, Shenzhen 518057, China.
| | - Longqi Liu
- BGI-Research, Hangzhou 310012, China; BGI-Research, Shenzhen 518103, China; Shanxi Medical University - BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan 030001, China.
| | - Wu Wei
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China; Lingang Laboratory, Shanghai 200031, China; University of Chinese Academy of Sciences, Chinese Academy of Science, Beijing 100049, China.
| | - Henry Kennedy
- Univ Lyon, Université Claude Bernard Lyon 1, Inserm U1208, Stem Cell and Brain Research Institute, Bron 69500, France.
| | - Zhiming Shen
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai 201602, China.
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3
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Kinman AI, Merryweather DN, Erwin SR, Campbell RE, Sullivan KE, Kraus L, Kapustina M, Bristow BN, Zhang MY, Elder MW, Wood SC, Tarik A, Kim E, Tindall J, Daniels W, Anwer M, Guo C, Cembrowski MS. Atypical hippocampal excitatory neurons express and govern object memory. Nat Commun 2025; 16:1195. [PMID: 39939601 PMCID: PMC11822006 DOI: 10.1038/s41467-025-56260-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 01/10/2025] [Indexed: 02/14/2025] Open
Abstract
Classically, pyramidal cells of the hippocampus are viewed as flexibly representing spatial and non-spatial information. Recent work has illustrated distinct types of hippocampal excitatory neurons, suggesting that hippocampal representations and functions may be constrained and interpreted by these underlying cell-type identities. In mice, here we reveal a non-pyramidal excitatory neuron type - the "ovoid" neuron - that is spatially adjacent to subiculum pyramidal cells but differs in gene expression, electrophysiology, morphology, and connectivity. Functionally, novel object encounters drive sustained ovoid neuron activity, whereas familiar objects fail to drive activity even months after single-trial learning. Silencing ovoid neurons prevents non-spatial object learning but leaves spatial learning intact, and activating ovoid neurons toggles novel-object seeking to familiar-object seeking. Such function is doubly dissociable from pyramidal neurons, wherein manipulation of pyramidal cells affects spatial assays but not non-spatial learning. Ovoid neurons of the subiculum thus illustrate selective cell-type-specific control of non-spatial memory and behavioral preference.
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Affiliation(s)
- Adrienne I Kinman
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Derek N Merryweather
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Sarah R Erwin
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Regan E Campbell
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Kaitlin E Sullivan
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Larissa Kraus
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Margarita Kapustina
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Brianna N Bristow
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Mingjia Y Zhang
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Madeline W Elder
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Sydney C Wood
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Ali Tarik
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Esther Kim
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Joshua Tindall
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - William Daniels
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Mehwish Anwer
- Dept. of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, V6T 1Z7, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, V6T 1Z3, Canada
| | - Caiying Guo
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, 20147, USA
| | - Mark S Cembrowski
- Dept. of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, V6T 1Z3, Canada.
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, V6T 1Z3, Canada.
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, 20147, USA.
- School of Biomedical Engineering, University of British Columbia, Vancouver, V6T 1Z3, Canada.
- Department of Mathematics, University of British Columbia, Vancouver, V6T 1Z2, Canada.
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4
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Wong KLL, Graf M, Augustine GJ. Serotonin Inhibition of Claustrum Projection Neurons: Ionic Mechanism, Receptor Subtypes and Consequences for Claustrum Computation. Cells 2024; 13:1980. [PMID: 39682728 PMCID: PMC11640313 DOI: 10.3390/cells13231980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Revised: 11/21/2024] [Accepted: 11/25/2024] [Indexed: 12/18/2024] Open
Abstract
The claustrum is a small but densely interconnected brain structure that is innervated by axons containing serotonin (5-HT), a neuromodulator that has been implicated in control of sleep and in the actions of psychedelic drugs. However, little is known about how 5-HT influences the claustrum. We have combined whole-cell patch-clamp measurements of ionic currents, flash photolysis, and receptor pharmacology to characterize the 5-HT responses of individual claustral projection neurons (PNs) in mouse brain slices. Serotonin application elicited a long-lasting outward current in claustral PNs. This current was due to an increase in membrane permeability to K+ ions and was mediated mainly by the type 1A 5-HT receptor (5-HTR-1A). The 5-HT-induced K+ current hyperpolarized, and thereby inhibited, the PNs by reducing action potential firing. Focal uncaging of 5-HT revealed that inhibitory 5-HTR-1As were located at both the soma and dendrites of PNs. We conclude that 5-HT creates a net inhibition in the claustrum, an action that should decrease claustrum sensitivity to excitatory input from other brain areas and thereby contribute to 5-HT action in the brain.
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Affiliation(s)
- Kelly Li Lin Wong
- Neuroscience & Mental Health Program, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore; (K.L.L.W.); (M.G.)
| | - Martin Graf
- Neuroscience & Mental Health Program, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore; (K.L.L.W.); (M.G.)
- Temasek Life Sciences Laboratory, Singapore 117604, Singapore
| | - George J. Augustine
- Neuroscience & Mental Health Program, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore; (K.L.L.W.); (M.G.)
- Temasek Life Sciences Laboratory, Singapore 117604, Singapore
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5
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Anderson TL, Keady JV, Songrady J, Tavakoli NS, Asadipooya A, Neeley RE, Turner JR, Ortinski PI. Distinct 5-HT receptor subtypes regulate claustrum excitability by serotonin and the psychedelic, DOI. Prog Neurobiol 2024; 240:102660. [PMID: 39218140 PMCID: PMC11444019 DOI: 10.1016/j.pneurobio.2024.102660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 07/03/2024] [Accepted: 08/25/2024] [Indexed: 09/04/2024]
Abstract
Recent evidence indicates that neuronal activity within the claustrum (CLA) may be central to cellular and behavioral responses to psychedelic hallucinogens. The CLA prominently innervates many cortical targets and displays exceptionally high levels of serotonin (5-HT) binding. However, the influence of serotonin receptors, prime targets of psychedelic drug action, on CLA activity remains unexplored. We characterize the CLA expression of all known 5-HT subtypes and contrast the effects of 5-HT and the psychedelic hallucinogen, 2,5-dimethoxy-4-iodoamphetamine (DOI), on excitability of cortical-projecting CLA neurons. We find that the CLA is particularly enriched with 5-HT2C receptors, expressed predominantly on glutamatergic neurons. Electrophysiological recordings from CLA neurons that project to the anterior cingulate cortex (ACC) indicate that application of 5-HT inhibits glutamate receptor-mediated excitatory postsynaptic currents (EPSCs). In contrast, application of DOI stimulates EPSCs. We find that the opposite effects of 5-HT and DOI on synaptic signaling can both be reversed by inhibition of the 5-HT2C, but not 5-HT2A, receptors. We identify specific 5-HT receptor subtypes as serotonergic regulators of the CLA excitability and argue against the canonical role of 5-HT2A in glutamatergic synapse response to psychedelics within the CLA-ACC circuit.
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Affiliation(s)
- Tanner L Anderson
- University of Kentucky, College of Medicine, Department of Neuroscience, Lexington, KY 40536, United States
| | - Jack V Keady
- University of Kentucky, College of Pharmacy, Department of Pharmaceutical Sciences, Lexington, KY 40536, United States
| | - Judy Songrady
- University of Kentucky, College of Pharmacy, Department of Pharmaceutical Sciences, Lexington, KY 40536, United States
| | - Navid S Tavakoli
- University of Kentucky, College of Medicine, Department of Neuroscience, Lexington, KY 40536, United States
| | - Artin Asadipooya
- University of Kentucky, College of Medicine, Department of Neuroscience, Lexington, KY 40536, United States
| | - Ryson E Neeley
- University of Kentucky, College of Medicine, Department of Neuroscience, Lexington, KY 40536, United States
| | - Jill R Turner
- University of Kentucky, College of Pharmacy, Department of Pharmaceutical Sciences, Lexington, KY 40536, United States
| | - Pavel I Ortinski
- University of Kentucky, College of Medicine, Department of Neuroscience, Lexington, KY 40536, United States.
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6
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Yuan X, Ma Y, Gao R, Cui S, Wang Y, Fa B, Ma S, Wei T, Ma S, Yu Z. HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics. Nat Commun 2024; 15:5700. [PMID: 38972896 PMCID: PMC11228050 DOI: 10.1038/s41467-024-49846-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 06/19/2024] [Indexed: 07/09/2024] Open
Abstract
Identifying spatially variable genes (SVGs) is crucial for understanding the spatiotemporal characteristics of diseases and tissue structures, posing a distinctive challenge in spatial transcriptomics research. We propose HEARTSVG, a distribution-free, test-based method for fast and accurately identifying spatially variable genes in large-scale spatial transcriptomic data. Extensive simulations demonstrate that HEARTSVG outperforms state-of-the-art methods with higherF 1 scores (averageF 1 Score=0.948), improved computational efficiency, scalability, and reduced false positives (FPs). Through analysis of twelve real datasets from various spatial transcriptomic technologies, HEARTSVG identifies a greater number of biologically significant SVGs (average AUC = 0.792) than other comparative methods without prespecifying spatial patterns. Furthermore, by clustering SVGs, we uncover two distinct tumor spatial domains characterized by unique spatial expression patterns, spatial-temporal locations, and biological functions in human colorectal cancer data, unraveling the complexity of tumors.
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Affiliation(s)
- Xin Yuan
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China
| | - Yanran Ma
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Ruitian Gao
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Shuya Cui
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China
| | - Yifan Wang
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Botao Fa
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, Shanxi, China
| | - Shiyang Ma
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting Wei
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Shuangge Ma
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China.
- Department of Biostatistics, Yale University, New Haven, USA.
| | - Zhangsheng Yu
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China.
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Center for Biomedical Data Science, Translational Science Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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7
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Atlan G, Matosevich N, Peretz-Rivlin N, Marsh-Yvgi I, Zelinger N, Chen E, Kleinman T, Bleistein N, Sheinbach E, Groysman M, Nir Y, Citri A. Claustrum neurons projecting to the anterior cingulate restrict engagement during sleep and behavior. Nat Commun 2024; 15:5415. [PMID: 38926345 PMCID: PMC11208603 DOI: 10.1038/s41467-024-48829-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 05/14/2024] [Indexed: 06/28/2024] Open
Abstract
The claustrum has been linked to attention and sleep. We hypothesized that this reflects a shared function, determining responsiveness to stimuli, which spans the axis of engagement. To test this hypothesis, we recorded claustrum population dynamics from male mice during both sleep and an attentional task ('ENGAGE'). Heightened activity in claustrum neurons projecting to the anterior cingulate cortex (ACCp) corresponded to reduced sensory responsiveness during sleep. Similarly, in the ENGAGE task, heightened ACCp activity correlated with disengagement and behavioral lapses, while low ACCp activity correlated with hyper-engagement and impulsive errors. Chemogenetic elevation of ACCp activity reduced both awakenings during sleep and impulsive errors in the ENGAGE task. Furthermore, mice employing an exploration strategy in the task showed a stronger correlation between ACCp activity and performance compared to mice employing an exploitation strategy which reduced task complexity. Our results implicate ACCp claustrum neurons in restricting engagement during sleep and goal-directed behavior.
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Affiliation(s)
- Gal Atlan
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Noa Matosevich
- Department of Physiology & Pharmacology, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Noa Peretz-Rivlin
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Idit Marsh-Yvgi
- The Alexander Silberman Institute of Life Science, Faculty of Science, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Noam Zelinger
- Department of Physiology & Pharmacology, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Eden Chen
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Timna Kleinman
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Noa Bleistein
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
- The Alexander Silberman Institute of Life Science, Faculty of Science, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Efrat Sheinbach
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
- The Alexander Silberman Institute of Life Science, Faculty of Science, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Maya Groysman
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Yuval Nir
- Department of Physiology & Pharmacology, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
- The Sieratzki-Sagol Center for Sleep Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Ami Citri
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel.
- The Alexander Silberman Institute of Life Science, Faculty of Science, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel.
- Program in Child and Brain Development, Canadian Institute for Advanced Research; MaRS Centre, Toronto, ON, Canada.
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8
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Chen J, Mangieri L, Mar S, Piantadosi S, Marcus D, Davis P, Anger B, Land BB, Bruchas MR. Endogenous opioids facilitate stress-induced binge eating via an insular cortex-claustrum pathway. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.10.598168. [PMID: 38915527 PMCID: PMC11195079 DOI: 10.1101/2024.06.10.598168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Stress has been shown to promote the development and persistence of binge eating behaviors. However, the neural circuit mechanisms for stress-induced binge-eating behaviors are largely unreported. The endogenous dynorphin (dyn)/kappa opioid receptor (KOR) opioid neuropeptide system has been well established to be a crucial mediator of the anhedonic component of stress. Here, we aimed to dissect the basis of dynorphinergic control of stress-induced binge-like eating behavior. We first established a mouse behavioral model for stress-induced binge-like eating behaviors. We found that mice exposed to stress increased their food intake of familiar palatable food (high fat, high sugar, HPD) compared to non-stressed mice. Following a brain-wide analysis, we isolated robust cFos-positive cells in the Claustrum (CLA), a subcortical structure with highly abundant KOR expression, following stress-induced binge-eating behavior. We report that KOR signaling in CLA is necessary for this elevated stress-induced binge eating behavior using local pharmacology and local deletion of KOR. In vivo calcium recordings using fiber photometry revealed a disinhibition circuit structure in the CLA during the initiation of HPD feeding bouts. We further established the dynamics of endogenous dynorphinergic control of this behavior using a genetically encoded dynorphin biosensor, Klight. Combined with 1-photon single-cell calcium imaging, we report significant heterogeneity with the CLA population during stress-induced binge eating and such behavior attenuates local dynorphin tone. Furthermore, we isolate the anterior Insular cortex (aIC) as the potential source of endogenous dynorphin afferents in the CLA. By characterizing neural circuits and peptidergic mechanisms within the CLA, we uncover a pathway that implicates endogenous opioid regulation stress-induced binge eating.
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Affiliation(s)
- Jingyi Chen
- Center for the Neurobiology of Addiction, Pain and Emotion;Departments of Anesthesiology, Pharmacology, and Bioengineering, University of Washington, Seattle, WA, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - Leandra Mangieri
- Center for the Neurobiology of Addiction, Pain and Emotion;Departments of Anesthesiology, Pharmacology, and Bioengineering, University of Washington, Seattle, WA, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - Sophia Mar
- Center for the Neurobiology of Addiction, Pain and Emotion;Departments of Anesthesiology, Pharmacology, and Bioengineering, University of Washington, Seattle, WA, USA
- Department of Pharmacology, University of Washington, Seattle, WA, USA
| | - Sean Piantadosi
- Center for the Neurobiology of Addiction, Pain and Emotion;Departments of Anesthesiology, Pharmacology, and Bioengineering, University of Washington, Seattle, WA, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - David Marcus
- Center for the Neurobiology of Addiction, Pain and Emotion;Departments of Anesthesiology, Pharmacology, and Bioengineering, University of Washington, Seattle, WA, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - Phoenix Davis
- Center for the Neurobiology of Addiction, Pain and Emotion;Departments of Anesthesiology, Pharmacology, and Bioengineering, University of Washington, Seattle, WA, USA
| | - Bennett Anger
- Center for the Neurobiology of Addiction, Pain and Emotion;Departments of Anesthesiology, Pharmacology, and Bioengineering, University of Washington, Seattle, WA, USA
| | - Benjamin B Land
- Center for the Neurobiology of Addiction, Pain and Emotion;Departments of Anesthesiology, Pharmacology, and Bioengineering, University of Washington, Seattle, WA, USA
- Department of Pharmacology, University of Washington, Seattle, WA, USA
| | - Michael R Bruchas
- Center for the Neurobiology of Addiction, Pain and Emotion;Departments of Anesthesiology, Pharmacology, and Bioengineering, University of Washington, Seattle, WA, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
- Department of Pharmacology, University of Washington, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
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9
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Han Y, Sohn K, Yoon D, Park S, Lee J, Choi S. Delayed escape behavior requires claustral activity. Cell Rep 2024; 43:113748. [PMID: 38324450 DOI: 10.1016/j.celrep.2024.113748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 12/05/2023] [Accepted: 01/21/2024] [Indexed: 02/09/2024] Open
Abstract
Animals are known to exhibit innate and learned forms of defensive behaviors, but it is unclear whether animals can escape through methods other than these forms. In this study, we develop the delayed escape task, in which male rats temporarily hold the information required for future escape, and we demonstrate that this task, in which the subject extrapolates from past experience without direct experience of its behavioral outcome, does not fall into either of the two forms of behavior. During the holding period, a subset of neurons in the rostral-to-striatum claustrum (rsCla), only when pooled together, sustain enhanced population activity without ongoing sensory stimuli. Transient inhibition of rsCla neurons during the initial part of the holding period produces prolonged inhibition of the enhanced activity. The transient inhibition also attenuates the delayed escape behavior. Our data suggest that the rsCla activity bridges escape-inducing stimuli to the delayed onset of escape.
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Affiliation(s)
- Yujin Han
- School of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul, Korea
| | - Kuenbae Sohn
- School of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul, Korea
| | - Donghyeon Yoon
- School of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul, Korea
| | - Sewon Park
- School of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul, Korea
| | - Junghwa Lee
- School of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul, Korea.
| | - Sukwoo Choi
- School of Biological Sciences, College of Natural Sciences, Seoul National University, Seoul, Korea.
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10
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Shaker T, Dagpa GJ, Cattaud V, Marriott BA, Sultan M, Almokdad M, Jackson J. A simple and reliable method for claustrum localization across age in mice. Mol Brain 2024; 17:10. [PMID: 38368400 PMCID: PMC10874566 DOI: 10.1186/s13041-024-01082-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/11/2024] [Indexed: 02/19/2024] Open
Abstract
The anatomical organization of the rodent claustrum remains obscure due to lack of clear borders that distinguish it from neighboring forebrain structures. Defining what constitutes the claustrum is imperative for elucidating its functions. Methods based on gene/protein expression or transgenic mice have been used to spatially outline the claustrum but often report incomplete labeling and/or lack of specificity during certain neurodevelopmental timepoints. To reliably identify claustrum projection cells in mice, we propose a simple immunolabelling method that juxtaposes the expression pattern of claustrum-enriched and cortical-enriched markers. We determined that claustrum cells immunoreactive for the claustrum-enriched markers Nurr1 and Nr2f2 are devoid of the cortical marker Tle4, which allowed us to differentiate the claustrum from adjoining cortical cells. Using retrograde tracing, we verified that nearly all claustrum projection neurons lack Tle4 but expressed Nurr1/Nr2f2 markers to different degrees. At neonatal stages between 7 and 21 days, claustrum projection neurons were identified by their Nurr1-postive/Tle4-negative expression profile, a time-period when other immunolabelling techniques used to localize the claustrum in adult mice are ineffective. Finally, exposure to environmental novelty enhanced the expression of the neuronal activation marker c-Fos in the claustrum region. Notably, c-Fos labeling was mainly restricted to Nurr1-positive cells and nearly absent from Tle4-positive cells, thus corroborating previous work reporting novelty-induced claustrum activation. Taken together, this method will aid in studying the claustrum during postnatal development and may improve histological and functional studies where other approaches are not amenable.
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Affiliation(s)
- Tarek Shaker
- Department of Physiology, University of Alberta, 7-22 Medical Sciences Building, Edmonton, AB, T6G 2H7, Canada
| | - Gwyneth J Dagpa
- Department of Physiology, University of Alberta, 7-22 Medical Sciences Building, Edmonton, AB, T6G 2H7, Canada
| | - Vanessa Cattaud
- Department of Physiology, University of Alberta, 7-22 Medical Sciences Building, Edmonton, AB, T6G 2H7, Canada
| | - Brian A Marriott
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Mariam Sultan
- Department of Physiology, University of Alberta, 7-22 Medical Sciences Building, Edmonton, AB, T6G 2H7, Canada
| | - Mohammed Almokdad
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Jesse Jackson
- Department of Physiology, University of Alberta, 7-22 Medical Sciences Building, Edmonton, AB, T6G 2H7, Canada.
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.
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11
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Marriott BA, Do AD, Portet C, Thellier F, Goutagny R, Jackson J. Brain-state-dependent constraints on claustrocortical communication and function. Cell Rep 2024; 43:113620. [PMID: 38159273 DOI: 10.1016/j.celrep.2023.113620] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 11/20/2023] [Accepted: 12/11/2023] [Indexed: 01/03/2024] Open
Abstract
Neural activity in the claustrum has been associated with a range of vigilance states, yet the activity patterns and efficacy of synaptic communication of identified claustrum neurons have not been thoroughly determined. Here, we show that claustrum neurons projecting to the retrosplenial cortex are most active during synchronized cortical states such as non-rapid eye movement (NREM) sleep and are suppressed during increased cortical desynchronization associated with arousal, movement, and REM sleep. The efficacy of claustrocortical signaling is increased during NREM and diminished during movement due in part to increased cholinergic tone. Finally, claustrum activation during NREM sleep enhances memory consolidation through the phase resetting of cortical delta waves. Therefore, claustrocortical communication is constrained to function most effectively during cognitive processes associated with synchronized cortical states, such as memory consolidation.
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Affiliation(s)
- Brian A Marriott
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB T6G2H7, Canada
| | - Alison D Do
- Department of Physiology, University of Alberta, Edmonton, AB T6G2H7, Canada
| | - Coline Portet
- University of Strasbourg, Strasbourg, France; Laboratoire de Neurosciences Cognitives et Adaptatives, CNRS UMR7364, Strasbourg, France
| | - Flora Thellier
- University of Strasbourg, Strasbourg, France; Laboratoire de Neurosciences Cognitives et Adaptatives, CNRS UMR7364, Strasbourg, France
| | - Romain Goutagny
- University of Strasbourg, Strasbourg, France; Laboratoire de Neurosciences Cognitives et Adaptatives, CNRS UMR7364, Strasbourg, France.
| | - Jesse Jackson
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB T6G2H7, Canada; Department of Physiology, University of Alberta, Edmonton, AB T6G2H7, Canada.
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12
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Druga R, Mares P, Salaj M, Kubova H. Degenerative Changes in the Claustrum and Endopiriform Nucleus after Early-Life Status Epilepticus in Rats. Int J Mol Sci 2024; 25:1296. [PMID: 38279295 PMCID: PMC10816976 DOI: 10.3390/ijms25021296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/07/2024] [Accepted: 01/17/2024] [Indexed: 01/28/2024] Open
Abstract
The aim of the present study was to analyze the location of degenerating neurons in the dorsal (insular) claustrum (DCL, VCL) and the dorsal, intermediate and ventral endopiriform nucleus (DEn, IEn, VEn) in rat pups following lithium-pilocarpine status epilepticus (SE) induced at postnatal days [P]12, 15, 18, 21 and 25. The presence of Fluoro-Jade B-positive neurons was evaluated at 4, 12, 24, 48 h and 1 week later. A small number of degenerated neurons was observed in the CL, as well as in the DEn at P12 and P15. The number of degenerated neurons was increased in the CL as well as in the DEn at P18 and above and was highest at longer survival intervals. The CL at P15 and 18 contained a small or moderate number of degenerated neurons mainly close to the medial and dorsal margins also designated as DCl ("shell") while isolated degenerated neurons were distributed in the VCl ("core"). In P21 and 25, a larger number of degenerated neurons occurred in both subdivisions of the dorsal claustrum. The majority of degenerated neurons in the endopiriform nucleus were found in the intermediate and caudal third of the DEn. A small number of degenerated neurons was dispersed in the whole extent of the DEn with prevalence to its medial margin. Our results indicate that degenerated neurons in the claustrum CL and endopiriform nucleus are distributed mainly in subdivisions originating from the ventral pallium; their distribution correlates with chemoarchitectonics of both nuclei and with their intrinsic and extrinsic connections.
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Affiliation(s)
- Rastislav Druga
- Institute of Anatomy, 2nd Medical Faculty, Charles University, 15006 Prague, Czech Republic;
- Laboratory of Developmental Epileptology, Institute of Physiology, Czech Academy of Sciences, 14200 Prague, Czech Republic;
- Institute of Anatomy, 1st Medical Faculty, Charles University, 12000 Prague, Czech Republic
| | - Pavel Mares
- Laboratory of Developmental Epileptology, Institute of Physiology, Czech Academy of Sciences, 14200 Prague, Czech Republic;
| | - Martin Salaj
- Institute of Anatomy, 2nd Medical Faculty, Charles University, 15006 Prague, Czech Republic;
| | - Hana Kubova
- Laboratory of Developmental Epileptology, Institute of Physiology, Czech Academy of Sciences, 14200 Prague, Czech Republic;
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13
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Grimstvedt JS, Shelton AM, Hoerder‐Suabedissen A, Oliver DK, Berndtsson CH, Blankvoort S, Nair RR, Packer AM, Witter MP, Kentros CG. A multifaceted architectural framework of the mouse claustrum complex. J Comp Neurol 2023; 531:1772-1795. [PMID: 37782702 PMCID: PMC10953385 DOI: 10.1002/cne.25539] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 10/04/2023]
Abstract
Accurate anatomical characterizations are necessary to investigate neural circuitry on a fine scale, but for the rodent claustrum complex (CLCX), this has yet to be fully accomplished. The CLCX is generally considered to comprise two major subdivisions, the claustrum (CL) and the dorsal endopiriform nucleus (DEn), but regional boundaries to these areas are debated. To address this, we conducted a multifaceted analysis of fiber- and cytoarchitecture, genetic marker expression, and connectivity using mice of both sexes, to create a comprehensive guide for identifying and delineating borders to CLCX, including an online reference atlas. Our data indicated four distinct subregions within CLCX, subdividing both CL and DEn into two. Additionally, we conducted brain-wide tracing of inputs to CLCX using a transgenic mouse line. Immunohistochemical staining against myelin basic protein (MBP), parvalbumin (PV), and calbindin (CB) revealed intricate fiber-architectural patterns enabling precise delineations of CLCX and its subregions. Myelinated fibers were abundant dorsally in CL but absent ventrally, whereas PV expressing fibers occupied the entire CL. CB staining revealed a central gap within CL, also visible anterior to the striatum. The Nr2f2, Npsr1, and Cplx3 genes expressed specifically within different subregions of the CLCX, and Rprm helped delineate the CL-insular border. Furthermore, cells in CL projecting to the retrosplenial cortex were located within the myelin sparse area. By combining own experimental data with digitally available datasets of gene expression and input connectivity, we could demonstrate that the proposed delineation scheme allows anchoring of datasets from different origins to a common reference framework.
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Affiliation(s)
- Joachim S. Grimstvedt
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
| | - Andrew M. Shelton
- Department of Physiology, Anatomy & GeneticsUniversity of OxfordOxfordUK
| | | | - David K. Oliver
- Department of Physiology, Anatomy & GeneticsUniversity of OxfordOxfordUK
| | - Christin H. Berndtsson
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
| | - Stefan Blankvoort
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
| | - Rajeevkumar R. Nair
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
| | - Adam M. Packer
- Department of Physiology, Anatomy & GeneticsUniversity of OxfordOxfordUK
| | - Menno P. Witter
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
| | - Clifford G. Kentros
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
- Institute of NeuroscienceUniversity of OregonEugeneOregonUSA
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14
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Pirone A, Ciregia F, Lazzarini G, Miragliotta V, Ronci M, Zuccarini M, Zallocco L, Beghelli D, Mazzoni MR, Lucacchini A, Giusti L. Proteomic Profiling Reveals Specific Molecular Hallmarks of the Pig Claustrum. Mol Neurobiol 2023; 60:4336-4358. [PMID: 37095366 PMCID: PMC10293365 DOI: 10.1007/s12035-023-03347-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 04/13/2023] [Indexed: 04/26/2023]
Abstract
The present study, employing a comparative proteomic approach, analyzes the protein profile of pig claustrum (CLA), putamen (PU), and insula (IN). Pig brain is an interesting model whose key translational features are its similarities with cortical and subcortical structures of human brain. A greater difference in protein spot expression was observed in CLA vs PU as compared to CLA vs IN. The deregulated proteins identified in CLA resulted to be deeply implicated in neurodegenerative (i.e., sirtuin 2, protein disulfide-isomerase 3, transketolase) and psychiatric (i.e., copine 3 and myelin basic protein) disorders in humans. Metascape analysis of differentially expressed proteins in CLA vs PU comparison suggested activation of the α-synuclein pathway and L1 recycling pathway corroborating the involvement of these anatomical structures in neurodegenerative diseases. The expression of calcium/calmodulin-dependent protein kinase and dihydropyrimidinase like 2, which are linked to these pathways, was validated using western blot analysis. Moreover, the protein data set of CLA vs PU comparison was analyzed by Ingenuity Pathways Analysis to obtain a prediction of most significant canonical pathways, upstream regulators, human diseases, and biological functions. Interestingly, inhibition of presenilin 1 (PSEN1) upstream regulator and activation of endocannabinoid neuronal synapse pathway were observed. In conclusion, this is the first study presenting an extensive proteomic analysis of pig CLA in comparison with adjacent areas, IN and PUT. These results reinforce the common origin of CLA and IN and suggest an interesting involvement of CLA in endocannabinoid circuitry, neurodegenerative, and psychiatric disorders in humans.
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Affiliation(s)
- Andrea Pirone
- Department of Veterinary Sciences, University of Pisa, Pisa, Italy.
| | - Federica Ciregia
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Giulia Lazzarini
- Department of Veterinary Sciences, University of Pisa, Pisa, Italy
| | | | - Maurizio Ronci
- Department of Medical, Oral and Biotechnological Sciences, University G. D'Annunzio of Chieti-Pescara, Chieti, Italy
- Interuniversitary Consortium for Engineering and Medicine, COIIM, Campobasso, Italy
| | - Mariachiara Zuccarini
- Department of Medical, Oral and Biotechnological Sciences, University G. D'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Lorenzo Zallocco
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Daniela Beghelli
- School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy
| | | | - Antonio Lucacchini
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Laura Giusti
- School of Pharmacy, University of Camerino, Camerino, Italy
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15
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Hoerder-Suabedissen A, Ocana-Santero G, Draper TH, Scott SA, Kimani JG, Shelton AM, Butt SJB, Molnár Z, Packer AM. Temporal origin of mouse claustrum and development of its cortical projections. Cereb Cortex 2023; 33:3944-3959. [PMID: 36104852 PMCID: PMC10068282 DOI: 10.1093/cercor/bhac318] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 07/13/2022] [Accepted: 07/14/2022] [Indexed: 11/12/2022] Open
Abstract
The claustrum is known for its extensive connectivity with many other forebrain regions, but its elongated shape and deep location have made further study difficult. We have sought to understand when mouse claustrum neurons are born, where they are located in developing brains, and when they develop their widespread connections to the cortex. We established that a well-characterized parvalbumin plexus, which identifies the claustrum in adults, is only present from postnatal day (P) 21. A myeloarchitectonic outline of the claustrum can be derived from a triangular fiber arrangement from P15. A dense patch of Nurr1+ cells is present at its core and is already evident at birth. Bromodeoxyuridine birth dating of forebrain progenitors reveals that the majority of claustrum neurons are born during a narrow time window centered on embryonic day 12.5, which is later than the adjacent subplate and endopiriform nucleus. Retrograde tracing revealed that claustrum projections to anterior cingulate (ACA) and retrosplenial cortex (RSP) follow distinct developmental trajectories. Claustrum-ACA connectivity matures rapidly and reaches adult-like innervation density by P10, whereas claustrum-RSP innervation emerges later over a protracted time window. This work establishes the timeline of claustrum development and provides a framework for understanding how the claustrum is built and develops its unique connectivity.
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Affiliation(s)
- Anna Hoerder-Suabedissen
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford OX1 3PT, United Kingdom
| | - Gabriel Ocana-Santero
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford OX1 3PT, United Kingdom
| | - Thomas H Draper
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford OX1 3PT, United Kingdom
| | - Sophie A Scott
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford OX1 3PT, United Kingdom
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, 16 De Crespigny Park, London SE5 8AF, UK
| | - Jesse G Kimani
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford OX1 3PT, United Kingdom
| | - Andrew M Shelton
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford OX1 3PT, United Kingdom
| | - Simon J B Butt
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford OX1 3PT, United Kingdom
| | - Zoltán Molnár
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford OX1 3PT, United Kingdom
| | - Adam M Packer
- Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Parks Road, Oxford OX1 3PT, United Kingdom
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16
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Sullivan KE, Kraus L, Kapustina M, Wang L, Stach TR, Lemire AL, Clements J, Cembrowski MS. Sharp cell-type-identity changes differentiate the retrosplenial cortex from the neocortex. Cell Rep 2023; 42:112206. [PMID: 36881508 DOI: 10.1016/j.celrep.2023.112206] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/22/2022] [Accepted: 02/15/2023] [Indexed: 03/08/2023] Open
Abstract
The laminae of the neocortex are fundamental processing layers of the mammalian brain. Notably, such laminae are believed to be relatively stereotyped across short spatial scales such that shared laminae between nearby brain regions exhibit similar constituent cells. Here, we consider a potential exception to this rule by studying the retrosplenial cortex (RSC), a brain region known for sharp cytoarchitectonic differences across its granular-dysgranular border. Using a variety of transcriptomics techniques, we identify, spatially map, and interpret the excitatory cell-type landscape of the mouse RSC. In doing so, we uncover that RSC gene expression and cell types change sharply at the granular-dysgranular border. Additionally, supposedly homologous laminae between the RSC and the neocortex are effectively wholly distinct in their cell-type composition. In collection, the RSC exhibits a variety of intrinsic cell-type specializations and embodies an organizational principle wherein cell-type identities can vary sharply within and between brain regions.
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Affiliation(s)
- Kaitlin E Sullivan
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, 2350 Health Sciences Boulevard, Vancouver, BC, Canada
| | - Larissa Kraus
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, 2350 Health Sciences Boulevard, Vancouver, BC, Canada
| | - Margarita Kapustina
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, 2350 Health Sciences Boulevard, Vancouver, BC, Canada
| | - Lihua Wang
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, BC, Canada
| | - Tara R Stach
- School of Biomedical Engineering, Biomedical Research Centre, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada
| | - Andrew L Lemire
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, BC, Canada
| | - Jody Clements
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, BC, Canada
| | - Mark S Cembrowski
- Department of Cellular and Physiological Sciences, Life Sciences Institute, University of British Columbia, 2350 Health Sciences Boulevard, Vancouver, BC, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, BC, Canada; Janelia Research Campus, HHMI, 19700 Helix Dr, Ashburn, VA, USA.
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17
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Wang Q, Wang Y, Kuo HC, Xie P, Kuang X, Hirokawa KE, Naeemi M, Yao S, Mallory M, Ouellette B, Lesnar P, Li Y, Ye M, Chen C, Xiong W, Ahmadinia L, El-Hifnawi L, Cetin A, Sorensen SA, Harris JA, Zeng H, Koch C. Regional and cell-type-specific afferent and efferent projections of the mouse claustrum. Cell Rep 2023; 42:112118. [PMID: 36774552 PMCID: PMC10415534 DOI: 10.1016/j.celrep.2023.112118] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 12/17/2022] [Accepted: 01/30/2023] [Indexed: 02/13/2023] Open
Abstract
The claustrum (CLA) is a conspicuous subcortical structure interconnected with cortical and subcortical regions. Its regional anatomy and cell-type-specific connections in the mouse remain not fully determined. Using multimodal reference datasets, we confirmed the delineation of the mouse CLA as a single group of neurons embedded in the agranular insular cortex. We quantitatively investigated brain-wide inputs and outputs of CLA using bulk anterograde and retrograde viral tracing data and single neuron tracing data. We found that the prefrontal module has more cell types projecting to the CLA than other cortical modules, with layer 5 IT neurons predominating. We found nine morphological types of CLA principal neurons that topographically innervate functionally linked cortical targets, preferentially the midline cortical areas, secondary motor area, and entorhinal area. Together, this study provides a detailed wiring diagram of the cell-type-specific connections of the mouse CLA, laying a foundation for studying its functions at the cellular level.
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Affiliation(s)
- Quanxin Wang
- Allen Institute for Brain Science, Seattle, WA 98109, USA.
| | - Yun Wang
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Hsien-Chi Kuo
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Peng Xie
- Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China
| | - Xiuli Kuang
- School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | | | - Maitham Naeemi
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Shenqin Yao
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Matt Mallory
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Ben Ouellette
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Phil Lesnar
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Yaoyao Li
- School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Min Ye
- School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Chao Chen
- School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Wei Xiong
- School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | | | | | - Ali Cetin
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Julie A Harris
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Christof Koch
- Allen Institute for Brain Science, Seattle, WA 98109, USA.
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18
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Influence of claustrum on cortex varies by area, layer, and cell type. Neuron 2023; 111:275-290.e5. [PMID: 36368317 DOI: 10.1016/j.neuron.2022.10.026] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/15/2022] [Accepted: 10/18/2022] [Indexed: 11/11/2022]
Abstract
The claustrum is a small subcortical structure with widespread connections to disparate regions of the cortex. However, the impact of the claustrum on cortical activity is not fully understood, particularly beyond frontal areas. Here, using optogenetics and multi-regional Neuropixels recordings from over 15,000 cortical neurons in awake mice, we demonstrate that the effect of claustrum input to the cortex differs depending on brain area, layer, and cell type. Brief claustrum stimulation, producing approximately 1 spike per claustrum neuron, affects many fast spiking (FS; putative inhibitory) but relatively fewer regular-spiking (RS; putative excitatory) cortical neurons and leads to a modest decrease in population activity in frontal cortical areas. Prolonged claustrum stimulation affects many more cortical neurons and can increase or decrease spiking activity. More excitation occurs in posterior regions and superficial layers, while inhibition predominates in frontal regions and deeper layers. These findings suggest that claustro-cortical circuits are organized into functional modules.
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19
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Li M, Wu S, Song B, Yang J, Fan L, Yang Y, Wang Y, Yang J, Xu Y. Single-cell analysis reveals transcriptomic reprogramming in aging primate entorhinal cortex and the relevance with Alzheimer's disease. Aging Cell 2022; 21:e13723. [PMID: 36165462 PMCID: PMC9649611 DOI: 10.1111/acel.13723] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 08/22/2022] [Accepted: 09/06/2022] [Indexed: 01/25/2023] Open
Abstract
The entorhinal cortex is of great importance in cognition and memory, its dysfunction causes a variety of neurological diseases, particularly Alzheimer's disease (AD). Yet so far, research on entorhinal cortex is still limited. Here, we provided the first single-nucleus transcriptomic map of primate entorhinal cortex aging. Our result revealed that synapse signaling, neurogenesis, cellular homeostasis, and inflammation-related genes and pathways changed in a cell-type-specific manner with age. Moreover, among the 7 identified cell types, we highlighted the neuronal lineage that was most affected by aging. By integrating multiple datasets, we found entorhinal cortex aging was closely related to multiple neurodegenerative diseases, particularly for AD. The expression levels of APP and MAPT, which generate β-amyloid (Aβ) and neurofibrillary tangles, respectively, were increased in most aged entorhinal cortex cell types. In addition, we found that neuronal lineage in the aged entorhinal cortex is more prone to AD and identified a subpopulation of excitatory neurons that are most highly associated with AD. Altogether, this study provides a comprehensive cellular and molecular atlas of the primate entorhinal cortex at single-cell resolution and provides new insights into potential therapeutic targets against age-related neurodegenerative diseases.
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Affiliation(s)
- Ming‐Li Li
- Department of NeurologyThe First Affiliated Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhouHenanChina
- Clinical Systems Biology Laboratories, Translation Medicine CenterThe First Affiliated Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhouHenanChina
| | - Shi‐Hao Wu
- School of MedicineYunnan UniversityKunmingYunnanChina
| | - Bo Song
- Department of NeurologyThe First Affiliated Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhouHenanChina
| | - Jing Yang
- Department of NeurologyThe First Affiliated Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhouHenanChina
| | - Li‐Yuan Fan
- Department of NeurologyThe First Affiliated Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhouHenanChina
| | - Yang Yang
- Clinical Systems Biology Laboratories, Translation Medicine CenterThe First Affiliated Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhouHenanChina
| | - Yun‐Chao Wang
- Department of NeurologyThe First Affiliated Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhouHenanChina
| | - Jing‐Hua Yang
- Clinical Systems Biology Laboratories, Translation Medicine CenterThe First Affiliated Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhouHenanChina
| | - Yuming Xu
- Department of NeurologyThe First Affiliated Hospital of Zhengzhou University, Zhengzhou UniversityZhengzhouHenanChina
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20
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Fang C, Wang H, Naumann RK. Developmental Patterning and Neurogenetic Gradients of Nurr1 Positive Neurons in the Rat Claustrum and Lateral Cortex. Front Neuroanat 2021; 15:786329. [PMID: 34924965 PMCID: PMC8675902 DOI: 10.3389/fnana.2021.786329] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 11/05/2021] [Indexed: 12/20/2022] Open
Abstract
The claustrum is an enigmatic brain structure thought to be important for conscious sensations. Recent studies have focused on gene expression patterns, connectivity, and function of the claustrum, but relatively little is known about its development. Interestingly, claustrum-enriched genes, including the previously identified marker Nurr1, are not only expressed in the classical claustrum complex, but also embedded within lateral neocortical regions in rodents. Recent studies suggest that Nurr1 positive neurons in the lateral cortex share a highly conserved genetic expression pattern with claustrum neurons. Thus, we focus on the developmental progression and birth dating pattern of the claustrum and Nurr1 positive neurons in the lateral cortex. We comprehensively investigate the expression of Nurr1 at various stages of development in the rat and find that Nurr1 expression first appears as an elongated line along the anterior-posterior axis on embryonic day 13.5 (E13.5) and then gradually differentiates into multiple sub-regions during prenatal development. Previous birth dating studies of the claustrum have led to conflicting results, therefore, we combine 5-ethynyl-2'-deoxyuridine (EdU) labeling with in situ hybridization for Nurr1 to study birth dating patterns. We find that most dorsal endopiriform (DEn) neurons are born on E13.5 to E14.5. Ventral claustrum (vCL) and dorsal claustrum (dCL) are mainly born on E14.5 to E15.5. Nurr1 positive cortical deep layer neurons (dLn) and superficial layer neurons (sLn) are mainly born on E14.5 to E15.5 and E15.5 to E17.5, respectively. Finally, we identify ventral to dorsal and posterior to anterior neurogenetic gradients within vCL and DEn. Thus, our findings suggest that claustrum and Nurr1 positive neurons in the lateral cortex are born sequentially over several days of embryonic development and contribute toward charting the complex developmental pattern of the claustrum in rodents.
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Affiliation(s)
| | | | - Robert Konrad Naumann
- CAS Key Laboratory of Brain Connectome and Manipulation, The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
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