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      All-trans retinoic acid induces synaptopodin-dependent metaplasticity in mouse dentate granule cells

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          Abstract

          Previously we showed that the vitamin A metabolite all-trans retinoic acid (atRA) induces synaptic plasticity in acute brain slices prepared from the mouse and human neocortex (Lenz et al., 2021). Depending on the brain region studied, distinct effects of atRA on excitatory and inhibitory neurotransmission have been reported. Here, we used intraperitoneal injections of atRA (10 mg/kg) in adult C57BL/6J mice to study the effects of atRA on excitatory and inhibitory neurotransmission in the mouse fascia dentata—a brain region implicated in memory acquisition. No major changes in synaptic transmission were observed in the ventral hippocampus while a significant increase in both spontaneous excitatory postsynaptic current frequencies and synapse numbers were evident in the dorsal hippocampus 6 hr after atRA administration. The intrinsic properties of hippocampal dentate granule cells were not significantly different and hippocampal transcriptome analysis revealed no essential neuronal changes upon atRA treatment. In light of these findings, we tested for the metaplastic effects of atRA, that is, for its ability to modulate synaptic plasticity expression in the absence of major changes in baseline synaptic strength. Indeed, in vivo long-term potentiation (LTP) experiments demonstrated that systemic atRA treatment improves the ability of dentate granule cells to express LTP. The plasticity-promoting effects of atRA were not observed in synaptopodin-deficient mice, therefore, extending our previous results regarding the relevance of synaptopodin in atRA-mediated synaptic strengthening in the mouse prefrontal cortex. Taken together, our data show that atRA mediates synaptopodin-dependent metaplasticity in mouse dentate granule cells.

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          Most cited references60

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          The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update

          Abstract Galaxy (homepage: https://galaxyproject.org, main public server: https://usegalaxy.org) is a web-based scientific analysis platform used by tens of thousands of scientists across the world to analyze large biomedical datasets such as those found in genomics, proteomics, metabolomics and imaging. Started in 2005, Galaxy continues to focus on three key challenges of data-driven biomedical science: making analyses accessible to all researchers, ensuring analyses are completely reproducible, and making it simple to communicate analyses so that they can be reused and extended. During the last two years, the Galaxy team and the open-source community around Galaxy have made substantial improvements to Galaxy's core framework, user interface, tools, and training materials. Framework and user interface improvements now enable Galaxy to be used for analyzing tens of thousands of datasets, and >5500 tools are now available from the Galaxy ToolShed. The Galaxy community has led an effort to create numerous high-quality tutorials focused on common types of genomic analyses. The Galaxy developer and user communities continue to grow and be integral to Galaxy's development. The number of Galaxy public servers, developers contributing to the Galaxy framework and its tools, and users of the main Galaxy server have all increased substantially.
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            Synaptic plasticity: multiple forms, functions, and mechanisms.

            Experiences, whether they be learning in a classroom, a stressful event, or ingestion of a psychoactive substance, impact the brain by modifying the activity and organization of specific neural circuitry. A major mechanism by which the neural activity generated by an experience modifies brain function is via modifications of synaptic transmission; that is, synaptic plasticity. Here, we review current understanding of the mechanisms of the major forms of synaptic plasticity at excitatory synapses in the mammalian brain. We also provide examples of the possible developmental and behavioral functions of synaptic plasticity and how maladaptive synaptic plasticity may contribute to neuropsychiatric disorders.
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              The self-tuning neuron: synaptic scaling of excitatory synapses.

              Homeostatic synaptic scaling is a form of synaptic plasticity that adjusts the strength of all of a neuron's excitatory synapses up or down to stabilize firing. Current evidence suggests that neurons detect changes in their own firing rates through a set of calcium-dependent sensors that then regulate receptor trafficking to increase or decrease the accumulation of glutamate receptors at synaptic sites. Additional mechanisms may allow local or network-wide changes in activity to be sensed through parallel pathways, generating a nested set of homeostatic mechanisms that operate over different temporal and spatial scales.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                01 November 2021
                2021
                : 10
                : e71983
                Affiliations
                [1 ] Department of Neuroanatomy, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg Freiburg Germany
                [2 ] Institute of Clinical Neuroanatomy, Dr. Senckenberg Anatomy, Neuroscience Center, Goethe-University Frankfurt Frankfurt am Main Germany
                [3 ] ICAR3R - Interdisciplinary Centre for 3Rs in Animal Research, Faculty of Medicine, Justus-Liebig-University Giessen Germany
                [4 ] Center for Basics in Neuromodulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg Freiburg Germany
                [5 ] Center Brain Links Brain Tools, University of Freiburg Freiburg Germany
                Stanford University United States
                Stanford University United States
                Stanford University United States
                University of Michigan United States
                Author notes
                [†]

                These authors are joint senior authors to this work.

                Author information
                https://orcid.org/0000-0003-3147-4949
                https://orcid.org/0000-0001-7990-654X
                https://orcid.org/0000-0002-1742-1608
                https://orcid.org/0000-0001-9249-5749
                https://orcid.org/0000-0002-3931-2947
                https://orcid.org/0000-0002-2646-3770
                Article
                71983
                10.7554/eLife.71983
                8560091
                34723795
                05d5d451-461c-4cc4-9b52-a1739353f037
                © 2021, Lenz et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 21 July 2021
                : 15 October 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003042, Else Kröner-Fresenius-Stiftung;
                Award ID: EKFS_#2019_A94
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: CRC 1080
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: Project-ID 259373024 B14 - CRC/TRR 167
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Advance
                Neuroscience
                Custom metadata
                All-trans retinoic acid increases the number of excitatory synapses in the dorsal hippocampus of mice and improves the ability of neurons to express synaptopodin-dependent synaptic plasticity.

                Life sciences
                vitamin a,retinoid signaling,hippocampus,synaptic plasticity,synaptopodin,spine apparatus,mouse

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