1
|
Dellal S, Zurita H, Kruglikov I, Valero M, Abad-Perez P, Geron E, Meng JH, Pronneke A, Hanson JL, Mir E, Ongaro M, Wang XJ, Buzsaki G, Machold RP, Rudy B. Inhibitory and disinhibitory VIP IN-mediated circuits in neocortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.02.26.640383. [PMID: 40060562 PMCID: PMC11888407 DOI: 10.1101/2025.02.26.640383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/14/2025]
Abstract
Cortical GABAergic interneurons (INs) expressing the neuropeptide vasoactive-intestinal peptide (VIP) predominantly function by inhibiting dendritic-targeting somato-statin (SST) expressing INs, thereby disinhibiting pyramidal cells (PCs) and facilitating cortical circuit plasticity. VIP INs are a molecularly heterogeneous group, but the physiological significance of this diversity is unclear at present. Here, we have characterized the functional diversity of VIP INs in the primary somatosensory cortex (vS1) using intersectional genetic approaches. We found that VIP INs are comprised of four primary populations that exhibit different laminar distributions, axonal and dendritic arbors, intrinsic electrophysiological properties, and efferent connectivity. Furthermore, we observe that these populations are differentially activated by long-range inputs, and display distinct responses to neuromodulation by endocannabinoids, acetylcholine and noradrenaline. Stimulation of VIP IN subpopulations in vivo results in differential effects on the cortical network, thus providing evidence for specialized modes of VIP IN-mediated regulation of PC activity during cortical information processing.
Collapse
|
2
|
Malhotra S, Donneger F, Farrell JS, Dudok B, Losonczy A, Soltesz I. Integrating endocannabinoid signaling, CCK interneurons, and hippocampal circuit dynamics in behaving animals. Neuron 2025:S0896-6273(25)00188-6. [PMID: 40267911 DOI: 10.1016/j.neuron.2025.03.016] [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: 07/12/2024] [Revised: 03/10/2025] [Accepted: 03/11/2025] [Indexed: 04/25/2025]
Abstract
The brain's endocannabinoid signaling system modulates a diverse range of physiological phenomena and is also involved in various psychiatric and neurological disorders. The basic components of the molecular machinery underlying endocannabinoid-mediated synaptic signaling have been known for decades. However, limitations associated with the short-lived nature of endocannabinoid lipid signals had made it challenging to determine the spatiotemporal specificity and dynamics of endocannabinoid signaling in vivo. Here, we discuss how novel technologies have recently enabled unprecedented insights into endocannabinoid signaling taking place at specific synapses in behaving animals. In this review, we primarily focus on cannabinoid-sensitive inhibition in the hippocampus in relation to place cell properties to illustrate the potential of these novel methodologies. In addition, we highlight implications of these approaches and insights for the unraveling of cannabinoid regulation of synapses in vivo in other brain circuits in both health and disease.
Collapse
Affiliation(s)
- Shreya Malhotra
- Department of Neurosurgery, Stanford University, Stanford, CA, USA.
| | - Florian Donneger
- Department of Neurosurgery, Stanford University, Stanford, CA, USA
| | - Jordan S Farrell
- Department of Neurology, Harvard Medical School, Boston, MA, USA; Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA, USA; F.M. Kirby Neurobiology Center, Harvard Medical School, Boston, MA, USA
| | - Barna Dudok
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Attila Losonczy
- Department of Neuroscience, Columbia University, New York, NY, USA; Kavli Institute for Brain Sciences, Columbia University, New York, NY, USA; Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
| | - Ivan Soltesz
- Department of Neurosurgery, Stanford University, Stanford, CA, USA
| |
Collapse
|
3
|
Schneider-Mizell CM, Bodor AL, Brittain D, Buchanan J, Bumbarger DJ, Elabbady L, Gamlin C, Kapner D, Kinn S, Mahalingam G, Seshamani S, Suckow S, Takeno M, Torres R, Yin W, Dorkenwald S, Bae JA, Castro MA, Halageri A, Jia Z, Jordan C, Kemnitz N, Lee K, Li K, Lu R, Macrina T, Mitchell E, Mondal SS, Mu S, Nehoran B, Popovych S, Silversmith W, Turner NL, Wong W, Wu J, Reimer J, Tolias AS, Seung HS, Reid RC, Collman F, da Costa NM. Inhibitory specificity from a connectomic census of mouse visual cortex. Nature 2025; 640:448-458. [PMID: 40205209 PMCID: PMC11981935 DOI: 10.1038/s41586-024-07780-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 07/03/2024] [Indexed: 04/11/2025]
Abstract
Mammalian cortex features a vast diversity of neuronal cell types, each with characteristic anatomical, molecular and functional properties1. Synaptic connectivity shapes how each cell type participates in the cortical circuit, but mapping connectivity rules at the resolution of distinct cell types remains difficult. Here we used millimetre-scale volumetric electron microscopy2 to investigate the connectivity of all inhibitory neurons across a densely segmented neuronal population of 1,352 cells spanning all layers of mouse visual cortex, producing a wiring diagram of inhibition with more than 70,000 synapses. Inspired by classical neuroanatomy, we classified inhibitory neurons based on targeting of dendritic compartments and developed an excitatory neuron classification based on dendritic reconstructions with whole-cell maps of synaptic input. Single-cell connectivity showed a class of disinhibitory specialist that targets basket cells. Analysis of inhibitory connectivity onto excitatory neurons found widespread specificity, with many interneurons exhibiting differential targeting of spatially intermingled subpopulations. Inhibitory targeting was organized into 'motif groups', diverse sets of cells that collectively target both perisomatic and dendritic compartments of the same excitatory targets. Collectively, our analysis identified new organizing principles for cortical inhibition and will serve as a foundation for linking contemporary multimodal neuronal atlases with the cortical wiring diagram.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Clare Gamlin
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Sam Kinn
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Marc Takeno
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Wenjing Yin
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Sven Dorkenwald
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Computer Science Department, Princeton University, Princeton, NJ, USA
| | - J Alexander Bae
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Electrical and Computer Engineering Department, Princeton University, Princeton, NJ, USA
| | - Manuel A Castro
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Akhilesh Halageri
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Zhen Jia
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Computer Science Department, Princeton University, Princeton, NJ, USA
| | - Chris Jordan
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Nico Kemnitz
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Kisuk Lee
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Kai Li
- Computer Science Department, Princeton University, Princeton, NJ, USA
| | - Ran Lu
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Thomas Macrina
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Computer Science Department, Princeton University, Princeton, NJ, USA
| | - Eric Mitchell
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Shanka Subhra Mondal
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Electrical and Computer Engineering Department, Princeton University, Princeton, NJ, USA
| | - Shang Mu
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Barak Nehoran
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Computer Science Department, Princeton University, Princeton, NJ, USA
| | - Sergiy Popovych
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Computer Science Department, Princeton University, Princeton, NJ, USA
| | | | - Nicholas L Turner
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Computer Science Department, Princeton University, Princeton, NJ, USA
| | - William Wong
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Jingpeng Wu
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
| | - Jacob Reimer
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
- Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA
| | - Andreas S Tolias
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
- Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA
- Brain & Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - H Sebastian Seung
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
- Computer Science Department, Princeton University, Princeton, NJ, USA
| | - R Clay Reid
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | |
Collapse
|
4
|
Rosés-Novella C, Bernard C. Dynamic regulation of cortical interneuron wiring. Curr Opin Neurobiol 2025; 92:102980. [PMID: 40015134 DOI: 10.1016/j.conb.2025.102980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2024] [Revised: 01/28/2025] [Accepted: 01/30/2025] [Indexed: 03/01/2025]
Abstract
Inhibitory interneurons play crucial roles in modulating the circuits and activity patterns of the cerebral cortex. In particular, interneurons must adapt to changes in cortical activity and environmental information to drive appropriate responses. In this review, we focus on the latest progress in our understanding of the processes that regulate interneuron wiring adaptability. We discuss newly identified types of regulatory processes, from structural synaptic changes to long-range neuromodulation, and provide an update on the activity-dependent molecular underpinnings at the transcriptional and post-transcriptional levels.
Collapse
Affiliation(s)
- Claudia Rosés-Novella
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, United Kingdom; MRC Centre for Neurodevelopmental Disorders, King's College London, London SE1 1UL, United Kingdom. https://twitter.com/@claudiarsnv
| | - Clémence Bernard
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter EX4 4PS, United Kingdom.
| |
Collapse
|
5
|
Meng JH, Kang Y, Lai A, Feyerabend M, Inoue W, Martinez-Trujillo J, Rudy B, Wang XJ. In Search of Transcriptomic Correlates of Neuronal Firing-Rate Adaptation across Subtypes, Regions and Species: A Patch-seq Analysis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.12.05.627057. [PMID: 39713292 PMCID: PMC11661064 DOI: 10.1101/2024.12.05.627057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/24/2024]
Abstract
Can the transcriptomic profile of a neuron predict its physiological properties? Using a Patch-seq dataset of the primary visual cortex, we addressed this question by focusing on spike rate adaptation (SRA), a well-known phenomenon that depends on small conductance calcium (Ca)-dependent potassium (SK) channels. We first show that in parvalbumin-expressing (PV) and somatostatin-expressing (SST) interneurons (INs), expression levels of genes encoding the ion channels underlying action potential generation are correlated with the half-width (HW) of spikes. Surprisingly, the SK encoding gene is not correlated with the degree of SRA (dAdap). Instead, genes that encode proteins upstream from the SK current are correlated with dAdap, a finding validated by a different dataset from the mouse's primary motor cortex that includes pyramidal cells and interneurons, as well as physiological datasets from multiple regions of macaque monkeys. Finally, we construct a minimal model to reproduce observed heterogeneity across cells, with testable predictions.
Collapse
Affiliation(s)
- John Hongyu Meng
- Center for Neural Science, New York University, New York, 10003, NY, United States
| | - Yijie Kang
- Center for Neural Science, New York University, New York, 10003, NY, United States
- Current address: Graduate School, Stony Brook University, Stony Brook, 11794, NY, United States
| | - Alan Lai
- Center for Neural Science, New York University, New York, 10003, NY, United States
| | - Michael Feyerabend
- Robarts Research Institute, Western University, London, ON N6A 3K7, Ontario, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Ontario, Canada
| | - Wataru Inoue
- Department of Physiology and Pharmacology, Western University, London, ON N6A 3K7, Ontario, Canada
- Robarts Research Institute, Western University, London, ON N6A 3K7, Ontario, Canada
| | - Julio Martinez-Trujillo
- Department of Physiology and Pharmacology, Western University, London, ON N6A 3K7, Ontario, Canada
- Robarts Research Institute, Western University, London, ON N6A 3K7, Ontario, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Ontario, Canada
| | - Bernardo Rudy
- Neuroscience Institute, New York University Grossman School of Medicine, New York, 10016, NY, United States
- Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, 10016, NY, United States
- Department of Anesthesiology, Perioperative Care and Pain Medicine, New York, University Grossman School of Medicine, New York, 10016, NY, United States
| | - Xiao-Jing Wang
- Center for Neural Science, New York University, New York, 10003, NY, United States
| |
Collapse
|
6
|
Gungor Aydin A, Lemenze A, Bieszczad KM. Functional diversities within neurons and astrocytes in the adult rat auditory cortex revealed by single-nucleus RNA sequencing. Sci Rep 2024; 14:25314. [PMID: 39455606 PMCID: PMC11511993 DOI: 10.1038/s41598-024-74732-7] [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: 04/24/2024] [Accepted: 09/30/2024] [Indexed: 10/28/2024] Open
Abstract
The mammalian cerebral cortex is composed of a rich diversity of cell types. Sensory cortical cells are organized into networks that rely on their functional diversity to ultimately carry out a variety of sophisticated cognitive functions for perception, learning, and memory. The auditory cortex (AC) has been most extensively studied for its experience-dependent effects, including for perceptual learning and associative memory. Here, we used single-nucleus RNA sequencing (snRNA-seq) in the AC of the adult rat to investigate the breadth of transcriptionally diverse cell types that likely support the role of AC in experience-dependent functions. A variety of unique excitatory and inhibitory neuron subtypes were identified that harbor unique transcriptional profiles of genes with putative relevance for the adaptive neuroplasticity of cortical microcircuits. In addition, we report for the first time a diversity of astrocytes in AC that may represent functionally unique subtypes, including those that could integrate experience-dependent adult neuroplasticity at cortical synapses. Together, these results pave the way for building models of how cortical neurons work in concert with astrocytes to fulfill dynamic and experience-dependent cognitive functions.
Collapse
Affiliation(s)
- Aysegul Gungor Aydin
- Department of Psychology-Behavioral and Systems Neuroscience, Rutgers University, 152 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
| | - Alexander Lemenze
- Department of Pathology, Immunology, and Laboratory Medicine, Rutgers University, Newark, NJ, 07103, USA
| | - Kasia M Bieszczad
- Department of Psychology-Behavioral and Systems Neuroscience, Rutgers University, 152 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
- Rutgers Center for Cognitive Science (RuCCS), Rutgers University, Piscataway, NJ, 08854, USA.
- Department of Otolaryngology-Head and Neck Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, 08901, USA.
| |
Collapse
|
7
|
Iannone AF, Akgül G, Zhang R, Wacks S, Hussein N, Macias CG, Donatelle A, Bauriedel JMJ, Wright C, Abramov D, Johnson MA, Govek EE, Burré J, Milner TA, De Marco García NV. The chemokine Cxcl14 regulates interneuron differentiation in layer I of the somatosensory cortex. Cell Rep 2024; 43:114531. [PMID: 39058591 PMCID: PMC11373301 DOI: 10.1016/j.celrep.2024.114531] [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: 02/01/2024] [Revised: 06/10/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024] Open
Abstract
Spontaneous and sensory-evoked activity sculpts developing circuits. Yet, how these activity patterns intersect with cellular programs regulating the differentiation of neuronal subtypes is not well understood. Through electrophysiological and in vivo longitudinal analyses, we show that C-X-C motif chemokine ligand 14 (Cxcl14), a gene previously characterized for its association with tumor invasion, is expressed by single-bouquet cells (SBCs) in layer I (LI) of the somatosensory cortex during development. Sensory deprivation at neonatal stages markedly decreases Cxcl14 expression. Additionally, we report that loss of function of this gene leads to increased intrinsic excitability of SBCs-but not LI neurogliaform cells-and augments neuronal complexity. Furthermore, Cxcl14 loss impairs sensory map formation and compromises the in vivo recruitment of superficial interneurons by sensory inputs. These results indicate that Cxcl14 is required for LI differentiation and demonstrate the emergent role of chemokines as key players in cortical network development.
Collapse
Affiliation(s)
- Andrew F Iannone
- Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD Program, New York, NY 10021, USA
| | - Gülcan Akgül
- Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Robin Zhang
- Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Sam Wacks
- Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Nisma Hussein
- Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Carmen Ginelly Macias
- Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Alexander Donatelle
- Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Julia M J Bauriedel
- Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Cora Wright
- Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Debra Abramov
- Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD Program, New York, NY 10021, USA; Appel Alzheimer's Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Megan A Johnson
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Eve-Ellen Govek
- Laboratory of Developmental Neurobiology, The Rockefeller University, New York, NY 10065, USA
| | - Jacqueline Burré
- Appel Alzheimer's Disease Research Institute, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Teresa A Milner
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Natalia V De Marco García
- Center for Neurogenetics, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA.
| |
Collapse
|
8
|
Machold R, Rudy B. Genetic approaches to elucidating cortical and hippocampal GABAergic interneuron diversity. Front Cell Neurosci 2024; 18:1414955. [PMID: 39113758 PMCID: PMC11303334 DOI: 10.3389/fncel.2024.1414955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 07/08/2024] [Indexed: 08/10/2024] Open
Abstract
GABAergic interneurons (INs) in the mammalian forebrain represent a diverse population of cells that provide specialized forms of local inhibition to regulate neural circuit activity. Over the last few decades, the development of a palette of genetic tools along with the generation of single-cell transcriptomic data has begun to reveal the molecular basis of IN diversity, thereby providing deep insights into how different IN subtypes function in the forebrain. In this review, we outline the emerging picture of cortical and hippocampal IN speciation as defined by transcriptomics and developmental origin and summarize the genetic strategies that have been utilized to target specific IN subtypes, along with the technical considerations inherent to each approach. Collectively, these methods have greatly facilitated our understanding of how IN subtypes regulate forebrain circuitry via cell type and compartment-specific inhibition and thus have illuminated a path toward potential therapeutic interventions for a variety of neurocognitive disorders.
Collapse
Affiliation(s)
- Robert Machold
- Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States
| | - Bernardo Rudy
- Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States
- Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, NY, United States
- Department of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States
| |
Collapse
|
9
|
Huang S, Rizzo D, Wu SJ, Xu Q, Ziane L, Alghamdi N, Stafford DA, Daigle TL, Tasic B, Zeng H, Ibrahim LA, Fishell G. Neurogliaform Cells Exhibit Laminar-specific Responses in the Visual Cortex and Modulate Behavioral State-dependent Cortical Activity. RESEARCH SQUARE 2024:rs.3.rs-4530873. [PMID: 39011116 PMCID: PMC11247929 DOI: 10.21203/rs.3.rs-4530873/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Neurogliaform cells are a distinct type of GABAergic cortical interneurons known for their 'volume transmission' output property. However, their activity and function within cortical circuits remain unclear. Here, we developed two genetic tools to target these neurons and examine their function in the primary visual cortex. We found that the spontaneous activity of neurogliaform cells positively correlated with locomotion. Silencing these neurons increased spontaneous activity during locomotion and impaired visual responses in L2/3 pyramidal neurons. Furthermore, the contrast-dependent visual response of neurogliaform cells varies with their laminar location and is constrained by their morphology and input connectivity. These findings demonstrate the importance of neurogliaform cells in regulating cortical behavioral state-dependent spontaneous activity and indicate that their functional engagement during visual stimuli is influenced by their laminar positioning and connectivity.
Collapse
Affiliation(s)
- Shuhan Huang
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Program in Neuroscience, Harvard University, Cambridge, MA 02138, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniella Rizzo
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sherry Jingjing Wu
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Qing Xu
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
- Past address: Center for Genomics & Systems Biology, New York University Abu Dhabi, Abu Dhabi, UAE
| | - Leena Ziane
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Norah Alghamdi
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
| | - David A Stafford
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Tanya L Daigle
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Bosiljka Tasic
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Leena Ali Ibrahim
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
| | - Gord Fishell
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| |
Collapse
|
10
|
Huang S, Rizzo D, Wu SJ, Xu Q, Ziane L, Alghamdi N, Stafford DA, Daigle TL, Tasic B, Zeng H, Ibrahim LA, Fishell G. Neurogliaform Cells Exhibit Laminar-specific Responses in the Visual Cortex and Modulate Behavioral State-dependent Cortical Activity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.05.597539. [PMID: 38895403 PMCID: PMC11185653 DOI: 10.1101/2024.06.05.597539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Neurogliaform cells are a distinct type of GABAergic cortical interneurons known for their "volume transmission" output property. However, their activity and function within cortical circuits remain unclear. Here, we developed two genetic tools to target these neurons and examine their function in the primary visual cortex. We found that the spontaneous activity of neurogliaform cells positively correlated with locomotion. Silencing these neurons increased spontaneous activity during locomotion and impaired visual responses in L2/3 pyramidal neurons. Furthermore, the contrast-dependent visual response of neurogliaform cells varies with their laminar location and is constrained by their morphology and input connectivity. These findings demonstrate the importance of neurogliaform cells in regulating cortical behavioral state-dependent spontaneous activity and indicate that their functional engagement during visual stimuli is influenced by their laminar positioning and connectivity.
Collapse
Affiliation(s)
- Shuhan Huang
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Program in Neuroscience, Harvard University, Cambridge, MA 02138, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniella Rizzo
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sherry Jingjing Wu
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Qing Xu
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
- Past address: Center for Genomics & Systems Biology, New York University Abu Dhabi, Abu Dhabi, UAE
| | - Leena Ziane
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Norah Alghamdi
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
| | - David A Stafford
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Tanya L Daigle
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Bosiljka Tasic
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Leena Ali Ibrahim
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
| | - Gord Fishell
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| |
Collapse
|
11
|
Aydin AG, Lemenze A, Bieszczad KM. Functional diversities within neurons and astrocytes in the adult rat auditory cortex revealed by single-nucleus RNA sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.16.589831. [PMID: 38659766 PMCID: PMC11042262 DOI: 10.1101/2024.04.16.589831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
The mammalian cerebral cortex is composed of a rich diversity of cell types. Cortical cells are organized into networks that rely on their functional diversity to ultimately carry out a variety of sophisticated cognitive functions. To investigate the breadth of transcriptional diverse cell types in the sensory cortex, we have used single-nucleus RNA sequencing (snRNA-seq) in the auditory cortex of the adult rat. A variety of unique excitatory and inhibitory neuron types were identified. In addition, we report for the first time a diversity of astrocytes in the auditory cortex that may represent functionally unique subtypes. Together, these results pave the way for building models of how neurons in the sensory cortex work in concert with astrocytes at synapses to fulfill high-cognitive functions like learning and memory.
Collapse
|
12
|
Riedemann T, Sutor B. Cell-Type-Specific Effects of Somatostatin on Synaptic Transmission in the Anterior Cingulate Cortex. J Neurosci 2024; 44:e0598232024. [PMID: 38378274 PMCID: PMC10977029 DOI: 10.1523/jneurosci.0598-23.2024] [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: 03/30/2023] [Revised: 01/19/2024] [Accepted: 01/24/2024] [Indexed: 02/22/2024] Open
Abstract
Inhibitory modulation of glutamatergic information processing is a prerequisite for proper network function. Among the many groups of interneurons (INs), somatostatin-expressing interneurons (SOM-INs) play an important role in the maintenance of physiological brain activity. We have previously shown that somatostatin (SOM) causes a reduction in pyramidal cell (PC) excitability. However, the mechanisms of action of the peptide on cortical synaptic circuits are still unclear. To understand the effects of the neuropeptide SOM on cortical synaptic circuits, we performed a detailed side-by-side comparison of its postsynaptic effects on PCs, SOM-INs, and layer 1 interneurons (L1-INs) in the anterior cingulate cortex of male and female mice and found that SOM produced pronounced postsynaptic effects in PCs while having little to no effect on either IN type. This comparison allowed us to link the observed postsynaptic effects to SOM-induced modulations of glutamatergic and GABAergic synaptic transmission and to trace the impact of the neuropeptide on the neuronal circuitry between these three cell types. We show here that SOM depresses glutamatergic synaptic transmission via a presynaptic mechanism while exerting a differential impact on GABAA receptor- and GABAB receptor-mediated transmission at the pre- and postsynaptic level resulting in a shift of inhibition in L2/3 PCs from L1-INs to SOM-INs. In summary, this study unravels a novel aspect by which SOM modulates synaptic signaling between PCs, L1-INs, and SOM-INs.
Collapse
Affiliation(s)
- Therese Riedemann
- Department of Physiological Genomics, Institute of Physiology, Biomedical Center, Ludwig-Maximilians-Universität München, Planegg-Martinsried 82152, Germany
- Center of Physiology, Pathophysiology and Biophysics, Institute of Physiology and Pathophysiology, Paracelsus Medical University, Salzburg 5020, Austria
| | - Bernd Sutor
- Department of Physiological Genomics, Institute of Physiology, Biomedical Center, Ludwig-Maximilians-Universität München, Planegg-Martinsried 82152, Germany
| |
Collapse
|
13
|
Chartrand T, Dalley R, Close J, Goriounova NA, Lee BR, Mann R, Miller JA, Molnar G, Mukora A, Alfiler L, Baker K, Bakken TE, Berg J, Bertagnolli D, Braun T, Brouner K, Casper T, Csajbok EA, Dee N, Egdorf T, Enstrom R, Galakhova AA, Gary A, Gelfand E, Goldy J, Hadley K, Heistek TS, Hill D, Jorstad N, Kim L, Kocsis AK, Kruse L, Kunst M, Leon G, Long B, Mallory M, McGraw M, McMillen D, Melief EJ, Mihut N, Ng L, Nyhus J, Oláh G, Ozsvár A, Omstead V, Peterfi Z, Pom A, Potekhina L, Rajanbabu R, Rozsa M, Ruiz A, Sandle J, Sunkin SM, Szots I, Tieu M, Toth M, Trinh J, Vargas S, Vumbaco D, Williams G, Wilson J, Yao Z, Barzo P, Cobbs C, Ellenbogen RG, Esposito L, Ferreira M, Gouwens NW, Grannan B, Gwinn RP, Hauptman JS, Jarsky T, Keene CD, Ko AL, Koch C, Ojemann JG, Patel A, Ruzevick J, Silberberg DL, Smith K, Sorensen SA, Tasic B, Ting JT, Waters J, de Kock CP, Mansvelder HD, Tamas G, Zeng H, Kalmbach B, Lein ES. Morphoelectric and transcriptomic divergence of the layer 1 interneuron repertoire in human versus mouse neocortex. Science 2023; 382:eadf0805. [PMID: 37824667 PMCID: PMC11864503 DOI: 10.1126/science.adf0805] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 09/09/2023] [Indexed: 10/14/2023]
Abstract
Neocortical layer 1 (L1) is a site of convergence between pyramidal-neuron dendrites and feedback axons where local inhibitory signaling can profoundly shape cortical processing. Evolutionary expansion of human neocortex is marked by distinctive pyramidal neurons with extensive L1 branching, but whether L1 interneurons are similarly diverse is underexplored. Using Patch-seq recordings from human neurosurgical tissue, we identified four transcriptomic subclasses with mouse L1 homologs, along with distinct subtypes and types unmatched in mouse L1. Subclass and subtype comparisons showed stronger transcriptomic differences in human L1 and were correlated with strong morphoelectric variability along dimensions distinct from mouse L1 variability. Accompanied by greater layer thickness and other cytoarchitecture changes, these findings suggest that L1 has diverged in evolution, reflecting the demands of regulating the expanded human neocortical circuit.
Collapse
Affiliation(s)
| | | | | | - Natalia A. Goriounova
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit; Amsterdam, The Netherlands
| | | | - Rusty Mann
- Allen Institute for Brain Science; Seattle, USA
| | | | - Gabor Molnar
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | | | | | | | | | - Jim Berg
- Allen Institute for Brain Science; Seattle, USA
| | | | | | | | | | - Eva Adrienn Csajbok
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | - Nick Dee
- Allen Institute for Brain Science; Seattle, USA
| | - Tom Egdorf
- Allen Institute for Brain Science; Seattle, USA
| | | | - Anna A. Galakhova
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit; Amsterdam, The Netherlands
| | - Amanda Gary
- Allen Institute for Brain Science; Seattle, USA
| | | | - Jeff Goldy
- Allen Institute for Brain Science; Seattle, USA
| | | | - Tim S. Heistek
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit; Amsterdam, The Netherlands
| | - DiJon Hill
- Allen Institute for Brain Science; Seattle, USA
| | - Nik Jorstad
- Allen Institute for Brain Science; Seattle, USA
| | - Lisa Kim
- Allen Institute for Brain Science; Seattle, USA
| | - Agnes Katalin Kocsis
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | | | | | | | - Brian Long
- Allen Institute for Brain Science; Seattle, USA
| | | | | | | | - Erica J. Melief
- Department of Laboratory Medicine and Pathology, University of Washington; Seattle, USA
| | - Norbert Mihut
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | - Lindsay Ng
- Allen Institute for Brain Science; Seattle, USA
| | - Julie Nyhus
- Allen Institute for Brain Science; Seattle, USA
| | - Gáspár Oláh
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | - Attila Ozsvár
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | | | - Zoltan Peterfi
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | - Alice Pom
- Allen Institute for Brain Science; Seattle, USA
| | | | | | - Marton Rozsa
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | | | - Joanna Sandle
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | | | - Ildiko Szots
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | | | - Martin Toth
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | | | - Sara Vargas
- Allen Institute for Brain Science; Seattle, USA
| | | | | | | | - Zizhen Yao
- Allen Institute for Brain Science; Seattle, USA
| | - Pal Barzo
- Department of Neurosurgery, University of Szeged; Szeged, Hungary
| | | | | | | | - Manuel Ferreira
- Department of Neurological Surgery, University of Washington; Seattle USA
| | | | - Benjamin Grannan
- Department of Neurological Surgery, University of Washington; Seattle USA
| | | | - Jason S. Hauptman
- Department of Neurological Surgery, University of Washington; Seattle USA
| | - Tim Jarsky
- Allen Institute for Brain Science; Seattle, USA
| | - C. Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington; Seattle, USA
| | - Andrew L. Ko
- Department of Neurological Surgery, University of Washington; Seattle USA
| | | | - Jeffrey G. Ojemann
- Department of Neurological Surgery, University of Washington; Seattle USA
| | - Anoop Patel
- Department of Neurological Surgery, University of Washington; Seattle USA
| | - Jacob Ruzevick
- Department of Neurological Surgery, University of Washington; Seattle USA
| | | | | | | | | | - Jonathan T. Ting
- Allen Institute for Brain Science; Seattle, USA
- Department of Physiology and Biophysics, University of Washington; Seattle, USA
- Washington National Primate Research Center, University of Washington; Seattle, USA
| | - Jack Waters
- Allen Institute for Brain Science; Seattle, USA
| | - Christiaan P.J. de Kock
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit; Amsterdam, The Netherlands
| | - Huib D. Mansvelder
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit; Amsterdam, The Netherlands
| | - Gabor Tamas
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged; Szeged, Hungary
| | | | - Brian Kalmbach
- Allen Institute for Brain Science; Seattle, USA
- Department of Physiology and Biophysics, University of Washington; Seattle, USA
| | - Ed S. Lein
- Allen Institute for Brain Science; Seattle, USA
- Department of Neurological Surgery, University of Washington; Seattle USA
| |
Collapse
|