3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Circadian Modulation of Neurons and Astrocytes Controls Synaptic Plasticity in Hippocampal Area CA1

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          SUMMARY

          Most animal species operate according to a 24-h period set by the suprachiasmatic nucleus (SCN) of the hypothalamus. The rhythmic activity of the SCN modulates hippocampal-dependent memory, but the molecular and cellular mechanisms that account for this effect remain largely unknown. Here, we identify cell-type-specific structural and functional changes that occur with circadian rhythmicity in neurons and astrocytes in hippocampal area CA1. Pyramidal neurons change the surface expression of NMDA receptors. Astrocytes change their proximity to synapses. Together, these phenomena alter glutamate clearance, receptor activation, and integration of temporally clustered excitatory synaptic inputs, ultimately shaping hippocampal-dependent learning in vivo. We identify corticosterone as a key contributor to changes in synaptic strength. These findings highlight important mechanisms through which neurons and astrocytes modify the molecular composition and structure of the synaptic environment, contribute to the local storage of information in the hippocampus, and alter the temporal dynamics of cognitive processing.

          In Brief

          McCauley et al. shed light on the molecular and cellular mechanisms that allow hippocampal neurons and astrocytes to shape circadian changes in synaptic plasticity and hippocampal-dependent behaviors. They identify corticosterone as a key molecule mediating these effects, capable of tuning the temporal dynamics of cognitive processing in mice.

          Graphical Abstract

          Related collections

          Most cited references126

          • Record: found
          • Abstract: found
          • Article: not found

          Theta oscillations in the hippocampus.

          Theta oscillations represent the "on-line" state of the hippocampus. The extracellular currents underlying theta waves are generated mainly by the entorhinal input, CA3 (Schaffer) collaterals, and voltage-dependent Ca(2+) currents in pyramidal cell dendrites. The rhythm is believed to be critical for temporal coding/decoding of active neuronal ensembles and the modification of synaptic weights. Nevertheless, numerous critical issues regarding both the generation of theta oscillations and their functional significance remain challenges for future research.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Molecular Diversity and Specializations among the Cells of the Adult Mouse Brain

            The mammalian brain is composed of diverse, specialized cell populations. To systematically ascertain and learn from these cellular specializations, we used Drop-seq to profile RNA expression in 690,000 individual cells, sampled from nine regions of the adult mouse brain. We identified 565 transcriptionally distinct groups of cells using computational approaches developed to distinguish biological from technical signals. Cross-region analysis of these 565 cell populations revealed features of brain organization, including a gene-expression module for synthesizing axonal and presynaptic components, patterns in the co-deployment of voltage-gated ion channels, functional distinctions among the cells of the vasculature and specialization of glutamatergic neurons across cortical regions. Systematic neuronal classifications for two complex basal ganglia nuclei and the striatum revealed a rare population of spiny projection neurons. This adult mouse brain cell atlas, accessible through interactive online software (DropViz), serves as a reference for development, disease, and evolution.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              An energy budget for signaling in the grey matter of the brain.

              Anatomic and physiologic data are used to analyze the energy expenditure on different components of excitatory signaling in the grey matter of rodent brain. Action potentials and postsynaptic effects of glutamate are predicted to consume much of the energy (47% and 34%, respectively), with the resting potential consuming a smaller amount (13%), and glutamate recycling using only 3%. Energy usage depends strongly on action potential rate--an increase in activity of 1 action potential/cortical neuron/s will raise oxygen consumption by 145 mL/100 g grey matter/h. The energy expended on signaling is a large fraction of the total energy used by the brain; this favors the use of energy efficient neural codes and wiring patterns. Our estimates of energy usage predict the use of distributed codes, with
                Bookmark

                Author and article information

                Journal
                101573691
                39703
                Cell Rep
                Cell Rep
                Cell reports
                2211-1247
                24 November 2020
                13 October 2020
                29 November 2020
                : 33
                : 2
                : 108255
                Affiliations
                [1 ]Department of Biology, SUNY Albany, 1400 Washington Avenue, Albany, NY 12222, USA
                [2 ]Department of Physics, SUNY Albany, 1400 Washington Avenue, Albany, NY 12222, USA
                [3 ]Bethlehem Central High School, 700 Delaware Avenue, Delmar, NY 12054, USA
                [4 ]Federal University of São Paulo, Department of Biochemistry, 100 Rua Tres de Maio, São Paulo 04044-020, Brazil
                [5 ]National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
                [6 ]Department of Psychology, SUNY Albany, 1400 Washington Avenue, Albany, NY 12222, USA
                [7 ]Institute of Biophysics, National Research Council, 153 Via Ugo La Malfa, Palermo 90146, Italy
                [8 ]Department of Biophysics, Lomonosov Moscow State University, Leninskie Gory 1/12, Moscow 119234, Russia
                [9 ]Department of Molecular Neurobiology, Institute of Bioorganic Chemistry, Ulitsa Miklukho-Maklaya 16/10, Moscow 117997, Russia
                [10 ]Sechenov First Moscow State Medical University, Bolshaya Pirogovskaya Ulitsa 19s1, Moscow 119146, Russia
                [11 ]These authors contributed equally
                [12 ]Lead Contact
                Author notes

                AUTHOR CONTRIBUTIONS

                Conceptualization, A. Scimemi; Methodology, A.B. and A. Scimemi; Software: A.B., M.M., R.M., and A. Scimemi; Validation, A. Scimemi; Formal Analysis, J.P.M., M.A.P., L.Y.D., G.C.T., N.A., J.J.W., S.Z., S.S., A.A.S., D.G.Z., R.M., A. Scimemi; Investigation, J.P.M., M.A.P., L.Y.D., G.C.T., N.A., R.M.D.G., R.M., and A. Scimemi; Resources, R.D.L., A.K., A. Semyanov, M.M., and A. Scimemi; Data Curation, A. Scimemi; Writing - Original Draft, A. Scimemi; Writing - Review & Editing, A. Scimemi; Visualization, A. Scimemi; Supervision, A. Scimemi; Project Administration, A. Scimemi.

                Article
                NIHMS1649121
                10.1016/j.celrep.2020.108255
                7700820
                33053337
                bc694f33-ef6d-4a09-991a-0e340099433a

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Categories
                Article

                Cell biology
                Cell biology

                Comments

                Comment on this article