Cited by 45Neuroscience and Neuropharmacology ResearchMemory and Neural MechanismsNeural dynamics and brain function

Advantages of Acute Brain Slices Prepared at Physiological Temperature in the Characterization of Synaptic Functions

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Eguchi, Kohgaku, Velicky, Philipp, Hollergschwandtner, Elena, Itakura, Makoto, Fukazawa, Yugo, Danzl, Johann Georg, Shigemoto, Ryuichi·2020·Frontiers in Cellular Neuroscience

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Abstract

Acute brain slice preparation is a powerful experimental model for investigating the characteristics of synaptic function in the brain. Although brain tissue is usually cut at ice-cold temperature (CT) to facilitate slicing and avoid neuronal damage, exposure to CT causes molecular and architectural changes of synapses. To address these issues, we investigated ultrastructural and electrophysiological features of synapses in mouse acute cerebellar slices prepared at ice-cold and physiological temperature (PT). In the slices prepared at CT, we found significant spine loss and reconstruction, synaptic vesicle rearrangement and decrease in synaptic proteins, all of which were not detected in slices prepared at PT. Consistent with these structural findings, slices prepared at PT showed higher release probability. Furthermore, preparation at PT allows electrophysiological recording immediately after slicing resulting in higher detectability of long-term depression (LTD) after motor learning compared with that at CT. These results indicate substantial advantages of the slice preparation at PT for investigating synaptic functions in different physiological conditions.

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  • Acute brain slices (ABSs) have been developed and used for investigating the structural and functional characteristics of the adult brain.

    “The acute brain slices (ABSs) have been developed and used for investigating the structural and functional characteristics of the adult brain (Eguchi et al., 2020).”

    From Toxic Concentrations of Glutamate Induce Ferroptosis without Affecting Mitochondrial Respiration in Rodent Brain Slice Cultures (2026) · cites this paper as Eguchi et al., 2020

    The Introduction says acute brain slices have been developed and extensively used to investigate the structural and functional characteristics of neuronal circuits. It does not specify the adult brain; the Animals section says this study generally used mice aged 4–6 weeks, so the adult-brain qualifier is not established by our copy. (LLM, conf=0.86)

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Research works printed but not linked: 45

  1. Aziz W. Wang W. Kesaf S. Mohamed A. A. Fukazawa Y. Shigemoto R. (2014). Distinct kinetics of synaptic structural plasticity, memory formation and memory decay in massed and spaced learning. Proc. Natl. Acad. Sci. U S A 111, E194– E202. 10.1073/pnas.1303317110 24367076 PMC3890840 · DOI
  2. Bischofberger J. Engel D. Li L. Geiger J. R. P. Jonas P. (2006). Patch-clamp recording from mossy fiber terminals in hippocampal slices. Nat. Protoc. 1, 2075– 2081. 10.1038/nprot.2006.312 17487197 · DOI
  3. Bissen D. Foss F. Acker-Palmer A. (2019). AMPA receptors and their minions: auxiliary proteins in AMPA receptor trafficking. Cell. Mol. Life Sci. 76, 2133– 2169. 10.1007/s00018-019-03068-7 30937469 PMC6502786 · DOI
  4. Bourne J. N. Kirov S. A. Sorra K. E. Harris K. M. (2007). Warmer preparation of hippocampal slices prevents synapse proliferation that might obscure LTP-related structural plasticity. Neuropharmacology 52, 55– 59. 10.1016/j.neuropharm.2006.06.020 16895730 · DOI
  5. Cingolani L. A. Goda Y. (2008). Actin in action: the interplay between the actin cytoskeleton and synaptic efficacy. Nat. Rev. Neurosci. 9, 344– 356. 10.1038/nrn2373 18425089 · DOI · Paper page
  6. Clements J. D. Silver R. A. (2000). Unveiling synaptic plasticity: a new graphical and analytical approach. Trends Neurosci. 23, 105– 113. 10.1016/s0166-2236(99)01520-9 10675910 · DOI
  7. Cooke S. F. Attwell P. J. E. Yeo C. H. (2004). Temporal properties of cerebellar-dependent memory consolidation. J. Neurosci. 24, 2934– 2941. 10.1523/jneurosci.5505-03.2004 15044532 PMC6729844 · DOI
  8. Eguchi K. Velicky P. Hollergschwandtner E. Itakura M. Fukazawa Y. Danzl J. G. (2019). Advantages of acute brain slices prepared at physiological temperature in characterization of synaptic functions. BioRxiv [Preprint]. 10.1101/845461 PMC7096554 32265664 · DOI
  9. Fiala J. C. Harris K. M. (2001). Cylindrical diameters method for calibrating section thickness in serial electron microscopy. J. Microsc. 202, 468– 472. 10.1046/j.1365-2818.2001.00926.x 11422668 · DOI
  10. Fiala J. C. Kirov S. A. Feinberg M. D. Petrak L. J. George P. Goddard C. A.. (2003). Timing of neuronal and glial ultrastructure disruption during brain slice preparation and recovery in vitro. J. Comp. Neurol. 465, 90– 103. 10.1002/cne.10825 12926018 · DOI
  11. Foster K. A. Regehr W. G. (2004). Variance-mean analysis in the presence of a rapid antagonist indicates vesicle depletion underlies depression at the climbing fiber synapse. Neuron 43, 119– 131. 10.1016/j.neuron.2004.06.022 15233922 · DOI
  12. Fried N. T. Moffat C. Seifert E. L. Oshinsky M. L. (2014). Functional mitochondrial analysis in acute brain sections from adult rats reveals mitochondrial dysfunction in a rat model of migraine. Am. J. Physiol. Cell Physiol. 307, C1017– C1030. 10.1152/ajpcell.00332.2013 25252946 PMC4254950 · DOI
  13. Guzman S. J. Schlögl A. Schmidt-Hieber C. (2014). Stimfit: quantifying electrophysiological data with Python. Front. Neuroinform. 8: 16. 10.3389/fninf.2014.00016 24600389 PMC3931263 · DOI
  14. Hanley J. G. (2014). Actin-dependent mechanisms in AMPA receptor trafficking. Front. Cell. Neurosci. 8: 381. 10.3389/fncel.2014.00381 25429259 PMC4228833 · DOI
  15. Harris K. M. Landis D. M. (1986). Membrane structure at synaptic junctions in area CA1 of the rat hippocampus. Neuroscience 19, 857– 872. 10.1016/0306-4522(86)90304-0 3796819 · DOI
  16. Hippenmeyer S. Johnson R. L. Luo L. (2013). Mosaic analysis with double markers reveals cell-type-specific paternal growth dominance. Cell Rep. 3, 960– 967. 10.1016/j.celrep.2013.02.002 23453967 PMC3668097 · DOI
  17. Hirokawa N. Niwa S. Tanaka Y. (2010). Molecular motors in neurons: transport mechanisms and roles in brain function, development, and disease. Neuron 68, 610– 638. 10.1016/j.neuron.2010.09.039 21092854 · DOI · Paper page
  18. Huang S. Uusisaari M. Y. (2013). Physiological temperature during brain slicing enhances the quality of acute slice preparations. Front. Cell. Neurosci. 7: 48. 10.3389/fncel.2013.00048 23630465 PMC3632751 · DOI
  19. Ichikawa R. Miyazaki T. Kano M. Hashikawa T. Tatsumi H. Sakimura K.. (2002). Distal extension of climbing fiber territory and multiple innervation caused by aberrant wiring to adjacent spiny branchlets in cerebellar purkinje cells lacking glutamate receptor δ2. J. Neurosci. 22, 8487– 8503. 10.1523/jneurosci.22-19-08487.2002 12351723 PMC6757771 · DOI
  20. Inoshita T. Hirano T. (2018). Occurrence of long-term depression in the cerebellar flocculus during adaptation of optokinetic response. Elife 7: e36209. 10.7554/elife.36209 29582755 PMC5871328 · DOI
  21. Jonas P. Major G. Sakmann B. (1993). Quantal components of unitary EPSCs at the mossy fibre synapse on CA3 pyramidal cells of rat hippocampus. J. Physiol. 472, 615– 663. 10.1113/jphysiol.1993.sp019965 7908327 PMC1160505 · DOI · Paper page
  22. Kaeser P. S. Regehr W. G. (2017). The readily releasable pool of synaptic vesicles. Curr. Opin. Neurobiol. 43, 63– 70. 10.1016/j.conb.2016.12.012 28103533 PMC5447466 · DOI · Paper page
  23. Kakegawa W. Katoh A. Narumi S. Miura E. Motohashi J. Takahashi A.. (2018). Optogenetic control of synaptic AMPA receptor endocytosis reveals roles of LTD in motor learning. Neuron 99, 985.e6– 998.e6. 10.1016/j.neuron.2018.07.034 30122381 · DOI
  24. Landis D. M. Reese T. S. (1974). Differences in membrane structure between excitatory and inhibitory synapses in the cerebellar cortex. J. Comp. Neurol. 155, 93– 125. 10.1002/cne.901550107 4836065 · DOI
  25. Li C. L. McIlwain H. (1957). Maintenance of resting membrane potentials in slices of mammalian cerebral cortex and other tissues in vitro. J. Physiol. 139, 178– 190. 10.1113/jphysiol.1957.sp005885 13492207 PMC1358723 · DOI
  26. Llinás R. Sugimori M. (1980). Electrophysiological properties of in vitro Purkinje cell dendrites in mammalian cerebellar slices. J. Physiol. 305, 197– 213. 10.1113/jphysiol.1980.sp013358 7441553 PMC1282967 · DOI
  27. Masugi-Tokita M. Tarusawa E. Watanabe M. Molnár E. Fujimoto K. Shigemoto R. (2007). Number and density of AMPA receptors in individual synapses in the rat cerebellum as revealed by SDS-digested freeze-fracture replica labeling. J. Neurosci. 27, 2135– 2144. 10.1523/JNEUROSCI.2861-06.2007 17314308 PMC6673557 · DOI
  28. Miki T. Kaufmann W. A. Malagon G. Gomez L. Tabuchi K. Watanabe M.. (2017). Numbers of presynaptic Ca2+ channel clusters match those of functionally defined vesicular docking sites in single central synapses. Proc. Natl. Acad. Sci. U S A 114, E5246– E5255. 10.1073/pnas.1704470114 28607047 PMC5495264 · DOI
  29. Miyazaki T. Fukaya M. Shimizu H. Watanabe M. (2003). Subtype switching of vesicular glutamate transporters at parallel fibre—Purkinje cell synapses in developing mouse cerebellum. Eur. J. Neurosci. 17, 2563– 2572. 10.1046/j.1460-9568.2003.02698.x 12823463 · DOI
  30. Niranjan P. S. Forbes J. G. Greer S. C. Dudowicz J. Freed K. F. Douglas J. F. (2001). Thermodynamic regulation of actin polymerization. J. Chem. Phys. 114, 10573– 10576. 10.1063/1.1380693 · DOI
  31. Nusser Z. Lujan R. Laube G. Roberts J. D. Molnar E. Somogyi P. (1998). Cell type and pathway dependence of synaptic AMPA receptor number and variability in the hippocampus. Neuron 21, 545– 559. 10.1016/s0896-6273(00)80565-6 9768841 · DOI · Paper page
  32. Okamoto T. Shirao T. Shutoh F. Suzuki T. Nagao S. (2011). Post-training cerebellar cortical activity plays an important role for consolidation of memory of cerebellum-dependent motor learning. Neurosci. Lett. 504, 53– 56. 10.1016/j.neulet.2011.08.056 21911037 · DOI
  33. Sahara Y. Takahashi T. (2001). Quantal components of the excitatory postsynaptic currents at a rat central auditory synapse. J. Physiol. 536, 189– 197. 10.1111/j.1469-7793.2001.00189.x 11579168 PMC2278860 · DOI
  34. Scheuss V. Schneggenburger R. Neher E. (2002). Separation of presynaptic and postsynaptic contributions to depression by covariance analysis of successive EPSCs at the calyx of Held synapse. J. Neurosci. 22, 728– 739. 10.1523/JNEUROSCI.22-03-00728.2002 11826102 PMC6758475 · DOI
  35. Schikorski T. Stevens C. F. (2001). Morphological correlates of functionally defined synaptic vesicle populations. Nat. Neurosci. 4, 391– 395. 10.1038/86042 11276229 · DOI · Paper page
  36. Schonewille M. Luo C. Ruigrok T. J. H. Voogd J. Schmolesky M. T. Rutteman M.. (2006). Zonal organization of the mouse flocculus: physiology, input, and output. J. Comp. Neurol. 497, 670– 682. 10.1002/cne.21036 16739198 · DOI
  37. Schrod N. Vanhecke D. Laugks U. Stein V. Fukuda Y. Schaffer M.. (2018). Pleomorphic linkers as ubiquitous structural organizers of vesicles in axons. PLoS One 13: e0197886. 10.1371/journal.pone.0197886 29864134 PMC5986143 · DOI
  38. Shutoh F. Ohki M. Kitazawa H. Itohara S. Nagao S. (2006). Memory trace of motor learning shifts transsynaptically from cerebellar cortex to nuclei for consolidation. Neuroscience 139, 767– 777. 10.1016/j.neuroscience.2005.12.035 16458438 · DOI
  39. Siksou L. Triller A. Marty S. (2009). An emerging view of presynaptic structure from electron microscopic studies. J. Neurochem. 108, 1336– 1342. 10.1111/j.1471-4159.2009.05888.x 19154334 · DOI
  40. Takahashi T. (1978). Intracellular recording from visually identified motoneurons in rat spinal cord slices. Proc. R. Soc. Lond. B Biol. Sci. 202, 417– 421. 10.1098/rspb.1978.0076 29296 · DOI
  41. Taubenfeld S. M. Stevens K. A. Pollonini G. Ruggiero J. Alberini C. M. (2002). Profound molecular changes following hippocampal slice preparation: loss of AMPA receptor subunits and uncoupled mRNA/protein expression. J. Neurochem. 81, 1348– 1360. 10.1046/j.1471-4159.2002.00936.x 12068082 · DOI
  42. Walker J. H. Agoston D. V. (1987). The synaptic vesicle and the cytoskeleton. Biochem. J. 247, 249– 258. 10.1042/bj2470249 3322260 PMC1148402 · DOI
  43. Wang W. Nakadate K. Masugi-Tokita M. Shutoh F. Aziz W. Tarusawa E.. (2014). Distinct cerebellar engrams in short-term and long-term motor learning. Proc. Natl. Acad. Sci. U S A 111, E188– E193. 10.1073/pnas.1315541111 24367085 PMC3890858 · DOI
  44. Yamamoto C. (1975). Recording of electrical activity from microscopically identified neurons of the mammalian brain. Experientia 31, 309– 311. 10.1007/bf01922555 1116533 · DOI
  45. Yamamoto C. McIlwain H. (1966). Electrical activities in thin sections from the mammalian brain maintained in chemically-defined media in vitro. J. Neurochem. 13, 1333– 1343. 10.1111/j.1471-4159.1966.tb04296.x 5962016 · DOI

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Authors
Eguchi, K., Velicky, P., Hollergschwandtner, E., Itakura, M., Fukazawa, Y., Danzl, J. G., & Shigemoto, R.
Affiliations
  • Institute of Science and Technology Austria (AT)
  • Kitasato University (JP)
  • University of Fukui (JP)
Corresponding author
  • Eguchi, Kohgaku
  • Shigemoto, Ryuichi
Venue
Frontiers in Cellular Neuroscience
Published
2020-03-19
Volume
14
Pages
63-63
ISSN
1662-5102 (ISSN-L)
OpenAlex
W3010976816
Cited by
45
References
3
Citations by year
2026: 8 · 2025: 8 · 2024: 3 · 2023: 8 · 2022: 6 · 2021: 8 · 2020: 4
FWCI
2.96
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Cellular Neuroscience (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • European Research Council (694539)
  • H2020 Marie Skłodowska-Curie Actions (793482)
  • Austrian Science Fund (I 3600-B27)
  • Institute of Science and Technology Austria
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
acute brain slices, physiological temperature, synaptic ultrastructure, dendritic spines, synaptic vesicles, synaptic proteins, release probability, long-term depression, motor learning, cerebellum

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