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Raudales R, Kim G, Kelly SM, Hatfield J, Guan W, Zhao S, Paul A, Qian Y, Li B, Huang ZJ. Specific and comprehensive genetic targeting reveals brain-wide distribution and synaptic input patterns of GABAergic axo-axonic interneurons. bioRxiv 2024:2023.11.07.566059. [PMID: 37986757 PMCID: PMC10659298 DOI: 10.1101/2023.11.07.566059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Axo-axonic cells (AACs), also called chandelier cells (ChCs) in the cerebral cortex, are the most distinctive type of GABAergic interneurons described in the neocortex, hippocampus, and basolateral amygdala (BLA). AACs selectively innervate glutamatergic projection neurons (PNs) at their axon initial segment (AIS), thus may exert decisive control over PN spiking and regulate PN functional ensembles. However, the brain-wide distribution, synaptic connectivity, and circuit function of AACs remains poorly understood, largely due to the lack of specific and reliable experimental tools. Here, we have established an intersectional genetic strategy that achieves specific and comprehensive targeting of AACs throughout the mouse brain based on their lineage (Nkx2.1) and molecular (Unc5b, Pthlh) markers. We discovered that AACs are deployed across essentially all the pallium-derived brain structures, including not only the dorsal pallium-derived neocortex and medial pallium-derived hippocampal formation, but also the lateral pallium-derived claustrum-insular complex, and the ventral pallium-derived extended amygdaloid complex and olfactory centers. AACs are also abundant in anterior olfactory nucleus, taenia tecta and lateral septum. AACs show characteristic variations in density across neocortical areas and layers and across subregions of the hippocampal formation. Neocortical AACs comprise multiple laminar subtypes with distinct dendritic and axonal arborization patterns. Retrograde monosynaptic tracing from AACs across neocortical, hippocampal and BLA regions reveal shared as well as distinct patterns of synaptic input. Specific and comprehensive targeting of AACs facilitates the study of their developmental genetic program and circuit function across brain structures, providing a ground truth platform for understanding the conservation and variation of a bona fide cell type across brain regions and species.
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Affiliation(s)
- Ricardo Raudales
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
- Program in Neurobiology, Stony Brook University, NY, 11794, USA
| | - Gukhan Kim
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Sean M Kelly
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
- Program in Neurobiology, Stony Brook University, NY, 11794, USA
| | - Joshua Hatfield
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
- Department of Neurobiology, Duke University, Durham, NC 27710, USA
| | - Wuqiang Guan
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Shengli Zhao
- Department of Neurobiology, Duke University, Durham, NC 27710, USA
| | - Anirban Paul
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
- Department of Neural and Behavioral Sciences, Penn State College of Medicine, Hershey, PA, 17033
| | - Yongjun Qian
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
- Department of Neurobiology, Duke University, Durham, NC 27710, USA
| | - Bo Li
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Z Josh Huang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
- Department of Neurobiology, Duke University, Durham, NC 27710, USA
- Department of Biomedical Engineering, Duke University, Durham, NC 27710, USA
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Petersen D, Raudales R, Silva AK, Kellendonk C, Canetta S. Adolescent Thalamocortical Inhibition Alters Prefrontal Excitation-Inhibition Balance. bioRxiv 2024:2023.11.22.568048. [PMID: 38562790 PMCID: PMC10983865 DOI: 10.1101/2023.11.22.568048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Adolescent inhibition of thalamo-cortical projections from postnatal day P20-50 leads to long lasting deficits in prefrontal cortex function and cognition in the adult mouse. While this suggests a role of thalamic activity in prefrontal cortex maturation, it is unclear how inhibition of these projections affects prefrontal circuit connectivity during adolescence. Here, we used chemogenetic tools to inhibit thalamo-prefrontal projections in the mouse from P20-35 and measured synaptic inputs to prefrontal pyramidal neurons by layer (either II/III or V/VI) and projection target twenty-four hours later using slice physiology. We found a decrease in the frequency of excitatory and inhibitory currents in layer II/III nucleus accumbens (NAc) and layer V/VI medio-dorsal thalamus projecting neurons while layer V/VI NAc-projecting neurons showed an increase in the amplitude of excitatory and inhibitory currents. Regarding cortical projections, the frequency of inhibitory but not excitatory currents was enhanced in contralateral mPFC-projecting neurons. Notably, despite these complex changes in individual levels of excitation and inhibition, the overall balance between excitation and inhibition in each cell was only changed in the contralateral mPFC projections. This finding suggests homeostatic regulation occurs within subcortically but not intracortical callosally-projecting neurons. Increased inhibition of intra-prefrontal connectivity may therefore be particularly important for prefrontal cortex circuit maturation. Finally, we observed cognitive deficits in the adult mouse using this narrowed window of thalamocortical inhibition (P20-P35).
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Affiliation(s)
- David Petersen
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY 10032, USA
- Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY, 10032
| | - Ricardo Raudales
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY 10032, USA
- Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY, 10032
| | - Ariadna Kim Silva
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY 10032, USA
- Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY, 10032
| | - Christoph Kellendonk
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY 10032, USA
- Department of Molecular Pharmacology & Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA
- Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, NY, 10032
| | - Sarah Canetta
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY 10032, USA
- Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY, 10032
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Matho KS, Huilgol D, Galbavy W, He M, Kim G, An X, Lu J, Wu P, Di Bella DJ, Shetty AS, Palaniswamy R, Hatfield J, Raudales R, Narasimhan A, Gamache E, Levine JM, Tucciarone J, Szelenyi E, Harris JA, Mitra PP, Osten P, Arlotta P, Huang ZJ. Genetic dissection of the glutamatergic neuron system in cerebral cortex. Nature 2021; 598:182-187. [PMID: 34616069 PMCID: PMC8494647 DOI: 10.1038/s41586-021-03955-9] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 08/25/2021] [Indexed: 11/09/2022]
Abstract
Diverse types of glutamatergic pyramidal neurons mediate the myriad processing streams and output channels of the cerebral cortex1,2, yet all derive from neural progenitors of the embryonic dorsal telencephalon3,4. Here we establish genetic strategies and tools for dissecting and fate-mapping subpopulations of pyramidal neurons on the basis of their developmental and molecular programs. We leverage key transcription factors and effector genes to systematically target temporal patterning programs in progenitors and differentiation programs in postmitotic neurons. We generated over a dozen temporally inducible mouse Cre and Flp knock-in driver lines to enable the combinatorial targeting of major progenitor types and projection classes. Combinatorial strategies confer viral access to subsets of pyramidal neurons defined by developmental origin, marker expression, anatomical location and projection targets. These strategies establish an experimental framework for understanding the hierarchical organization and developmental trajectory of subpopulations of pyramidal neurons that assemble cortical processing networks and output channels.
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Affiliation(s)
- Katherine S Matho
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Dhananjay Huilgol
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
| | - William Galbavy
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
- Program in Neuroscience, Department of Neurobiology and Behavior, Stony Brook University, Stony Brook, NY, USA
| | - Miao He
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
- Institutes of Brain Science, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Gukhan Kim
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Xu An
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
| | - Jiangteng Lu
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
- Shanghai Jiaotong University Medical School, Shanghai, China
| | - Priscilla Wu
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Daniela J Di Bella
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Ashwin S Shetty
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | | | - Joshua Hatfield
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
| | - Ricardo Raudales
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
- Program in Neuroscience, Department of Neurobiology and Behavior, Stony Brook University, Stony Brook, NY, USA
| | - Arun Narasimhan
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Eric Gamache
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Jesse M Levine
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
- Program in Neuroscience and Medical Scientist Training Program, Stony Brook University, New York, NY, USA
| | - Jason Tucciarone
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
- Program in Neuroscience and Medical Scientist Training Program, Stony Brook University, New York, NY, USA
- Department of Psychiatry, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Eric Szelenyi
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Julie A Harris
- Program in Neuroscience and Medical Scientist Training Program, Stony Brook University, New York, NY, USA
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Partha P Mitra
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Pavel Osten
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Paola Arlotta
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Z Josh Huang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA.
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Kelly SM, Raudales R, He M, Lee JH, Kim Y, Gibb LG, Wu P, Matho K, Osten P, Graybiel AM, Huang ZJ. Radial Glial Lineage Progression and Differential Intermediate Progenitor Amplification Underlie Striatal Compartments and Circuit Organization. Neuron 2018; 99:345-361.e4. [PMID: 30017396 PMCID: PMC6094944 DOI: 10.1016/j.neuron.2018.06.021] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Revised: 03/20/2018] [Accepted: 06/12/2018] [Indexed: 12/12/2022]
Abstract
The circuitry of the striatum is characterized by two organizational plans: the division into striosome and matrix compartments, thought to mediate evaluation and action, and the direct and indirect pathways, thought to promote or suppress behavior. The developmental origins of these organizations and their developmental relationships are unknown, leaving a conceptual gap in understanding the cortico-basal ganglia system. Through genetic fate mapping, we demonstrate that striosome-matrix compartmentalization arises from a lineage program embedded in lateral ganglionic eminence radial glial progenitors mediating neurogenesis through two distinct types of intermediate progenitors (IPs). The early phase of this program produces striosomal spiny projection neurons (SPNs) through fate-restricted apical IPs (aIPSs) with limited capacity; the late phase produces matrix SPNs through fate-restricted basal IPs (bIPMs) with expanded capacity. Notably, direct and indirect pathway SPNs arise within both aIPS and bIPM pools, suggesting that striosome-matrix architecture is the fundamental organizational plan of basal ganglia circuitry.
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Affiliation(s)
- Sean M Kelly
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Program in Neuroscience and Medical Scientist Training Program, Stony Brook University, Stony Brook, NY 11790, USA
| | - Ricardo Raudales
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Program in Neuroscience, Stony Brook University, Stony Brook, NY 11790, USA
| | - Miao He
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Jannifer H Lee
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Yongsoo Kim
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Leif G Gibb
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Priscilla Wu
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Katherine Matho
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Pavel Osten
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Ann M Graybiel
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Z Josh Huang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
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Paul A, Crow M, Raudales R, He M, Gillis J, Huang ZJ. Transcriptional Architecture of Synaptic Communication Delineates GABAergic Neuron Identity. Cell 2017; 171:522-539.e20. [PMID: 28942923 DOI: 10.1016/j.cell.2017.08.032] [Citation(s) in RCA: 262] [Impact Index Per Article: 37.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 05/04/2017] [Accepted: 08/16/2017] [Indexed: 01/07/2023]
Abstract
Understanding the organizational logic of neural circuits requires deciphering the biological basis of neuronal diversity and identity, but there is no consensus on how neuron types should be defined. We analyzed single-cell transcriptomes of a set of anatomically and physiologically characterized cortical GABAergic neurons and conducted a computational genomic screen for transcriptional profiles that distinguish them from one another. We discovered that cardinal GABAergic neuron types are delineated by a transcriptional architecture that encodes their synaptic communication patterns. This architecture comprises 6 categories of ∼40 gene families, including cell-adhesion molecules, transmitter-modulator receptors, ion channels, signaling proteins, neuropeptides and vesicular release components, and transcription factors. Combinatorial expression of select members across families shapes a multi-layered molecular scaffold along the cell membrane that may customize synaptic connectivity patterns and input-output signaling properties. This molecular genetic framework of neuronal identity integrates cell phenotypes along multiple axes and provides a foundation for discovering and classifying neuron types.
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Affiliation(s)
- Anirban Paul
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Megan Crow
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Ricardo Raudales
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Program in Neuroscience, Stony Brook University, Stony Brook, NY 11790, USA
| | - Miao He
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Jesse Gillis
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Z Josh Huang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
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