Sonic Hedgehog Signaling in Astrocytes Mediates Cell Type
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Do Thin Spines Learn to Be Mushroom Spines That Remember? Jennifer Bourne and Kristen M Harris
CONEUR-488; NO OF PAGES 6 Do thin spines learn to be mushroom spines that remember? Jennifer Bourne and Kristen M Harris Dendritic spines are the primary site of excitatory input on most or whether they instead switch shapes depending on principal neurons. Long-lasting changes in synaptic activity are synaptic plasticity during learning. accompanied by alterations in spine shape, size and number. The responsiveness of thin spines to increases and decreases Maturation and stabilization of spines in synaptic activity has led to the suggestion that they are Spines tend to stabilize with maturation [5]; however, a ‘learning spines’, whereas the stability of mushroom spines small proportion continues to turnover in more mature suggests that they are ‘memory spines’. Synaptic brains [5–7]. The transient spines are thin spines that enhancement leads to an enlargement of thin spines into emerge and disappear over a few days, whereas mush- mushroom spines and the mobilization of subcellular resources room spines can persist for months [5,6]. Mushroom to potentiated synapses. Thin spines also concentrate spines have larger postsynaptic densities (PSDs) [1], biochemical signals such as Ca2+, providing the synaptic which anchor more AMPA glutamate receptors and make specificity required for learning. Determining the mechanisms these synapses functionally stronger [8–12]. Mushroom that regulate spine morphology is essential for understanding spines are more likely than thin spines to contain smooth the cellular changes that underlie learning and memory. endoplasmic reticulum, which can regulate Ca2+ locally [13], and spines that have larger synapses are also more Addresses Center for Learning and Memory, Department of Neurobiology, likely to contain polyribosomes for local protein synthesis University of Texas, Austin, TX 78712-0805, USA [14]. -
Long-Term Adult Human Brain Slice Cultures As a Model System to Study
TOOLS AND RESOURCES Long-term adult human brain slice cultures as a model system to study human CNS circuitry and disease Niklas Schwarz1, Betu¨ l Uysal1, Marc Welzer2,3, Jacqueline C Bahr1, Nikolas Layer1, Heidi Lo¨ ffler1, Kornelijus Stanaitis1, Harshad PA1, Yvonne G Weber1,4, Ulrike BS Hedrich1, Ju¨ rgen B Honegger4, Angelos Skodras2,3, Albert J Becker5, Thomas V Wuttke1,4†*, Henner Koch1†* 1Department of Neurology and Epileptology, Hertie-Institute for Clinical Brain Research, University of Tu¨ bingen, Tu¨ bingen, Germany; 2Department of Cellular Neurology, Hertie-Institute for Clinical Brain Research, University of Tu¨ bingen, Tu¨ bingen, Germany; 3German Center for Neurodegenerative Diseases (DZNE), Tu¨ bingen, Germany; 4Department of Neurosurgery, University of Tu¨ bingen, Tu¨ bingen, Germany; 5Department of Neuropathology, Section for Translational Epilepsy Research, University Bonn Medical Center, Bonn, Germany Abstract Most of our knowledge on human CNS circuitry and related disorders originates from model organisms. How well such data translate to the human CNS remains largely to be determined. Human brain slice cultures derived from neurosurgical resections may offer novel avenues to approach this translational gap. We now demonstrate robust preservation of the complex neuronal cytoarchitecture and electrophysiological properties of human pyramidal neurons *For correspondence: in long-term brain slice cultures. Further experiments delineate the optimal conditions for efficient [email protected] viral transduction of cultures, enabling ‘high throughput’ fluorescence-mediated 3D reconstruction tuebingen.de (TVW); of genetically targeted neurons at comparable quality to state-of-the-art biocytin fillings, and [email protected] demonstrate feasibility of long term live cell imaging of human cells in vitro. -
Dendritic Spine Remodeling Accompanies Alzheimer's Disease
Neurobiology of Aging 73 (2019) 92e103 Contents lists available at ScienceDirect Neurobiology of Aging journal homepage: www.elsevier.com/locate/neuaging Dendritic spine remodeling accompanies Alzheimer’s disease pathology and genetic susceptibility in cognitively normal aging Benjamin D. Boros a,b, Kelsey M. Greathouse a,b, Marla Gearing c, Jeremy H. Herskowitz a,b,* a Center for Neurodegeneration and Experimental Therapeutics, University of Alabama at Birmingham, Birmingham, AL, USA b Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA c Department of Pathology, Department of Neurology, Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia article info abstract Article history: Subtle alterations in dendritic spine morphology can induce marked effects on connectivity patterns of Received 1 May 2018 neuronal circuits and subsequent cognitive behavior. Past studies of rodent and nonhuman primate aging Received in revised form 5 September 2018 revealed reductions in spine density with concomitant alterations in spine morphology among pyramidal Accepted 6 September 2018 neurons in the prefrontal cortex. In this report, we visualized and digitally reconstructed the three- Available online 21 September 2018 dimensional morphology of dendritic spines from the dorsolateral prefrontal cortex in cognitively normal individuals aged 40e94 years. Linear models defined relationships between spines and age, MinieMental Keywords: ε ’ ’ State Examination, apolipoprotein E (APOE) 4 allele status, and Alzheimer s disease (AD) pathology. Alzheimer s disease fi Aging Similar to ndings in other mammals, spine density correlated negatively with human aging. Reduced spine e Dendritic spine head diameter associated with higher Mini Mental State Examination scores. Individuals harboring an APOE APOE ε4 allele displayed greater numbers of dendritic filopodia and structural alterations in thin spines. -
Dendritic Development of Gabaergic Cortical Interneurons Revealed by Biolistic Transfection with GFP
Graduate Theses, Dissertations, and Problem Reports 2002 Dendritic development of GABAergic cortical interneurons revealed by biolistic transfection with GFP Xiaoming Jin West Virginia University Follow this and additional works at: https://researchrepository.wvu.edu/etd Recommended Citation Jin, Xiaoming, "Dendritic development of GABAergic cortical interneurons revealed by biolistic transfection with GFP" (2002). Graduate Theses, Dissertations, and Problem Reports. 1708. https://researchrepository.wvu.edu/etd/1708 This Dissertation is protected by copyright and/or related rights. It has been brought to you by the The Research Repository @ WVU with permission from the rights-holder(s). You are free to use this Dissertation in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you must obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Dissertation has been accepted for inclusion in WVU Graduate Theses, Dissertations, and Problem Reports collection by an authorized administrator of The Research Repository @ WVU. For more information, please contact [email protected]. Dendritic Development of GABAergic Cortical Interneurons Revealed by Biolistic Transfection with GFP Xiaoming Jin Dissertation submitted to the School of Medicine at West Virginia University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Anatomy Ariel Agmon, Ph.D., Chair Albert Berrebi, Ph.D. Richard Dey, Ph.D. Peter Mathers, Ph.D. Adrienne Salm, Ph.D. Department of Neurobiology and Anatomy Morgantown, West Virginia 2002 Keywords: neocortex, GAD, gene gun, dendrite, growth, BDNF, neuronal activity, organotypic, brain slice, culture. -
Biophysically Realistic Neuron Models for Simulation of Cortical Stimulation
bioRxiv preprint doi: https://doi.org/10.1101/328534; this version posted August 20, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Biophysically Realistic Neuron Models for Simulation of Cortical Stimulation Authors: Aman S. Aberra1, Angel V. Peterchev1,2,3,4, Warren M. Grill1,3,4,5,* 1 Dept. of Biomedical Engineering, School of Engineering, Duke University, NC 2 Dept. of Psychiatry and Behavioral Sciences, School of Medicine, Duke University, NC 3 Dept. of Electrical and Computer Engineering, School of Engineering, Duke University, NC 4 Dept. of Neurosurgery, School of Medicine, Duke University, NC 5 Dept. of Neurobiology, School of Medicine, Duke University, NC * Corresponding Author: Warren M. Grill Keywords: neuron model, cortex, myelination, simulation, electric field, stimulation, axon bioRxiv preprint doi: https://doi.org/10.1101/328534; this version posted August 20, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 2 1. Abstract Objective. We implemented computational models of human and rat cortical neurons for simulating the neural response to cortical stimulation with electromagnetic fields. Approach. We adapted model neurons from the library of Blue Brain models to reflect biophysical and geometric properties of both adult rat and human cortical neurons and coupled the model neurons to exogenous electric fields (E-fields). The models included 3D reconstructed axonal and dendritic arbors, experimentally-validated electrophysiological behaviors, and multiple, morphological variants within cell types. -
Neurotrophins Regulate Dendritic Growth in Developing Visual Codex
Neuron, Vol. 15, 791-803, October, 1995, Copyright © 1995 by Cell Press Neurotrophins Regulate Dendritic Growth in Developing Visual Codex A. Kimberley McAllister, Donald C. Lo, al., 1988; Snider, 1988; Ruit et al., 1990; Ruit and Snider, and Lawrence C. Katz 1991). The neurotrophins comprise at least four structur- Department of Neurobiology ally related proteins: NGF, brain-derived neurotrophic fac- Duke University Medical Center tor (BDNF), neurotrophin-3 (NT-3), and neurotrophin-4/ Durham, North Carolina 27710 neurotrophin-5 (NT-4) (for review, see Lindsay et al., 1994; NT-6 has recently been cloned in fish [Gotz et al., 1994]). Summary Also, neurotrophins exert their effects through activation of members of the Trk family of tyrosine kinase receptors Although dendritic growth and differentiation are criti- (for review, see Chao, 1992). These factors and their re- cal for the proper development and function of neocor- ceptors are expressed in discrete layers of neocortex dur- tex, the molecular signals that regulate these pro- ing the time dendrites develop (Allendoerfer, et al., 1990; cesses are largely unknown. The potential role of Merlio et al., 1992; Cabelli et al., 1993, Soc. Neurosci., neurotrophins was tested by treating slices of devel- abstract; Ringstedt et al., 1993; Lindsay et al., 1994). How- oping visual cortex with NGF, BDNF, NT-3, or NT-4 and ever, assigning specific biological functions to neurotroph- by subsequently visualizing the dendrites of pyramidal ins has been hampered by the difficulty of manipulating neurons using particle-mediated gene transfer. Spe- the cortical environment in vivo and by the loss of laminar cific neurotrophins increased the length and complex- identity and cell polarity in dissociated tissue culture. -
Cooperative Astrocyte and Dendritic Spine Dynamics at Hippocampal Excitatory Synapses
The Journal of Neuroscience, August 30, 2006 • 26(35):8881–8891 • 8881 Development/Plasticity/Repair Cooperative Astrocyte and Dendritic Spine Dynamics at Hippocampal Excitatory Synapses Michael Haber, Lei Zhou, and Keith K. Murai Centre for Research in Neuroscience, Department of Neurology and Neurosurgery, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, H3G 1A4, Canada Accumulating evidence is redefining the importance of neuron–glial interactions at synapses in the CNS. Astrocytes form “tripartite” complexes with presynaptic and postsynaptic structures and regulate synaptic transmission and plasticity. Despite our understanding of the importance of neuron–glial relationships in physiological contexts, little is known about the structural interplay between astrocytes and synapses. In the past, this has been difficult to explore because studies have been hampered by the lack of a system that preserves complex neuron–glial relationships observed in the brain. Here we present a system that can be used to characterize the intricate relationshipbetweenastrocyticprocessesandsynapticstructuresinsituusingorganotypichippocampalslices,apreparationthatretains the three-dimensional architecture of astrocyte–synapse interactions. Using time-lapse confocal imaging, we demonstrate that astro- cytes can rapidly extend and retract fine processes to engage and disengage from motile postsynaptic dendritic spines. Surprisingly, astrocytic motility is, on average, higher than its dendritic spine -
Contribution of Apical and Basal Dendrites of L2/3 Pyramidal Neurons to Orientation Encoding in Mouse V1 Jiyoung Park1,4*†, Athanasia Papoutsi3†, Ryan T
bioRxiv preprint doi: https://doi.org/10.1101/566588; this version posted March 5, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Contribution of Apical and Basal Dendrites of L2/3 Pyramidal Neurons to Orientation Encoding in Mouse V1 Jiyoung Park1,4*†, Athanasia Papoutsi3†, Ryan T. Ash2,4, Miguel A. Marin2, Panayiota Poirazi3* & Stelios M. Smirnakis4* 1Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, Texas 2Department of Neuroscience, Baylor College of Medicine, Houston, Texas 3Institute of Molecular Biology and Biotechnology (IMBB), Foundation of Research and Technology Hellas (FORTH), Vassilika Vouton, Heraklion, Crete, Greece 4Brigham and Women’s Hospital and Jamaica Plain VA Hospital, Harvard Medical School, Boston, MA †Equal contribution. * Correspondence: [email protected], [email protected], [email protected] Abstract: Pyramidal neurons integrate synaptic inputs from basal and apical dendrites to generate stimulus-specific responses. It has been proposed that feed-forward inputs to basal dendrites drive a neuron’s stimulus preference, while feedback inputs to apical dendrites sharpen selectivity. However, how a neuron’s dendritic domains relate to its functional selectivity has not been demonstrated experimentally. We performed 2-photon dendritic micro-dissection on layer- 2/3 pyramidal neurons in mouse primary visual cortex. We found that removing the apical dendritic tuft did not alter orientation-tuning. Furthermore, orientation-tuning curves were remarkably robust to the removal of basal dendrites: ablation of 2-3 basal dendrites was needed to cause a small shift in orientation preference, without significantly altering tuning width. -
Morphological Characteristics of Electrophysiologically Characterized Layer Vb Pyramidal Cells in Rat Barrel Cortex
RESEARCH ARTICLE Morphological Characteristics of Electrophysiologically Characterized Layer Vb Pyramidal Cells in Rat Barrel Cortex Jochen F. Staiger1*, Alexandre J. C. Loucif2¤, Dirk Schubert3, Martin MoÈ ck1 1 Institute for Neuroanatomy, University Medical Center, Georg-August-University, GoÈttingen, Germany, 2 Institute of Neuroanatomy, Albert-Ludwigs-University, Freiburg, Germany, 3 Donders Institute for Brain, Cognition & Behavior, Centre for Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands a11111 ¤ Current address: Neuroscience and Pain Research, Pfizer Worldwide Research and Development; Portway Building, Granta Park, Great Abington, Cambridge, United Kingdom * [email protected] Abstract Layer Vb pyramidal cells are the major output neurons of the neocortex and transmit the OPEN ACCESS outcome of cortical columnar signal processing to distant target areas. At the same time Citation: Staiger JF, Loucif AJC, Schubert D, MoÈck they contribute to local tactile information processing by emitting recurrent axonal collater- M (2016) Morphological Characteristics of Electrophysiologically Characterized Layer Vb als into the columnar microcircuitry. It is, however, not known how exactly the two types of Pyramidal Cells in Rat Barrel Cortex. PLoS ONE 11 pyramidal cells, called slender-tufted and thick-tufted, contribute to the local circuitry. (10): e0164004. doi:10.1371/journal. Here, we investigated in the rat barrel cortex the detailed quantitative morphology of biocy- pone.0164004 tin-filled layer Vb pyramidal cells in vitro, which were characterized for their intrinsic Editor: Gennady Cymbalyuk, Georgia State electrophysiology with special emphasis on their action potential firing pattern. Since we University, UNITED STATES stained the same slices for cytochrome oxidase, we could also perform layer- and column- Received: September 17, 2015 related analyses. -
METALEARNING, NEUROMODULATION and EMOTION Papers and Presentations 【Basic Concepts】 Doya, K
METALEARNING, NEUROMODULATION AND EMOTION Papers and Presentations 【Basic Concepts】 Doya, K. (2002). Metalearning and Neuromodulation. Neural Networks, 15(4). Doya, K. (2000). Metalearning, neuromodulation, and emotion. In G. Hatano, N. Okada and H. Tanabe (Eds.), Affective Minds, pp. 101-104. Elsevier Science B. V. Doya, K. (2000). Possible roles of neuromodulators in the regulation of learning processes. 30th Annual Meeting, Society for Neuroscience. 【System Integration Group】 1999 Doya, K. (1999). Metalearning, neuromodulation and emotion. The 13th Toyota Conference on Affective Minds, 46-47. 2000 Bapi, R. S., Graydon, F. X.,Doya, K. (2000). Time course of learning of motor sequence representation. 30th Annual Meeting, Society for Neuroscience, 26, 707. Doya, K. (2000). Metalearning, Neuromodulation and Emotion. Humanoid Challenge, JST Inter-field Exchange Forum, 87-88. Doya, K. (2000). Possible roles of neuromodulators in the regulation of learning processes. 30th Annual Meeting, Society for Neuroscience, 26, 2103. Doya, K. (2000). A possible role of serotonin in regulating the time scale of reward prediction. Serotonin: From the Molecule to the Clinic, 89. Doya, K. (2000). Metalearning, neuromodulation, and emotion. G. Hatanao, et al. (eds) Affective Minds, Elsevier Science, B.V., 101-104. Doya, K. (2000). Complementary roles of basal ganglia and cerebellum in learning and motor control. Current Opinion in Neurobiology, 10(6), 732-739. Doya, K., Katagiri, K., Wolpert, D. M., Kawato, M. (2000). Recognition and imitation of movement paterns by a multiple predictor-controller architecture. Technical Report of IEICE, TL2000(11), 33-40. Doya, K., Samejima, K., Katagiri, K., Kawato, M. (2000). Multiple model-based reinforcement learning. Kawato Dynamic Brain Project Technical Report, KDB-TR-08, 1-20. -
Neuronal Organization of Olfactory Bulb Circuits
REVIEW ARTICLE published: 03 September 2014 doi: 10.3389/fncir.2014.00098 Neuronal organization of olfactory bulb circuits Shin Nagayama 1*, Ryota Homma1 and Fumiaki Imamura 2 1 Department of Neurobiology and Anatomy, The University of Texas Medical School at Houston, Houston, TX, USA 2 Department of Pharmacology, Pennsylvania State University College of Medicine, Hershey, PA, USA Edited by: Olfactory sensory neurons extend their axons solely to the olfactory bulb, which is Benjamin R. Arenkiel, Baylor College dedicated to odor information processing.The olfactory bulb is divided into multiple layers, of Medicine, USA with different types of neurons found in each of the layers. Therefore, neurons in the Reviewed by: olfactory bulb have conventionally been categorized based on the layers in which their cell Kazushige Touhara, University of Tokyo, Japan bodies are found; namely, juxtaglomerular cells in the glomerular layer, tufted cells in the Veronica Egger, external plexiform layer, mitral cells in the mitral cell layer, and granule cells in the granule Ludwig-Maximilians-Universität, cell layer. More recently, numerous studies have revealed the heterogeneous nature of each Germany Kathleen Quast, Baylor College of of these cell types, allowing them to be further divided into subclasses based on differences Medicine, USA in morphological, molecular, and electrophysiological properties. In addition, technical *Correspondence: developments and advances have resulted in an increasing number of studies regarding Shin Nagayama, Department of cell types other than the conventionally categorized ones described above, including short- Neurobiology and Anatomy, The axon cells and adult-generated interneurons. Thus, the expanding diversity of cells in the University of Texas Medical School at Houston, 6431 Fannin Street, olfactory bulb is now being acknowledged. -
On the Integration of Subthreshold Inputs from Perforant Path and Schaffer Collaterals in Hippocampal CA1 Pyramidal Neurons
Journal of Computational Neuroscience 14, 185–192, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands. On the Integration of Subthreshold Inputs from Perforant Path and Schaffer Collaterals in Hippocampal CA1 Pyramidal Neurons MICHELE MIGLIORE Section of Neurobiology, Yale University School of Medicine, New Haven, CT, USA; Institute of Biophysics, Nat. Res. Council, Palermo, Italy [email protected] Received October 15, 2001; Revised September 6, 2002; Accepted September 6, 2002 Action Editor: E. Bard Ermentrout Abstract. Using a realistic model of a CA1 hippocampal pyramidal neuron, we make experimentally testable predictions on the roles of the non-specific cation current, Ih, and the A-type Potassium current, IA, in modulating the temporal window for the integration of the two main excitatory afferent pathways of a CA1 neuron, the Schaffer Collaterals and the Perforant Path. The model shows that the experimentally observed increase in the dendritic density of Ih and IA could have a major role in constraining the temporal integration window for these inputs, in such a way that a somatic action potential (AP) is elicited only when they are activated with a relative latency consistent with the anatomical arrangement of the hippocampal circuitry. Keywords: dendritic integration, IA, Ih, CA1, modeling Introduction these two conductances between pyramidal neurons of hippocampus and neocortex. The gKA increases with Although important details on how dendrites and their distance from the soma in CA1, whereas in neocor- active properties are involved in neural computation tical neurons it is constant (Korngreen and Sakmann, have been elucidated, the rules according to which 2000; Bekkers, 2000), and it does not seem to play the dendritic trees and, especially, ionic conductances are same role as in CA1 (Stuart and H¨ausser, 2001).