The DOI matches its Crossref record; 66 of the 67 references it cites were found in a registry or an index.
Bassoon Speeds Vesicle Reloading at a Central Excitatory Synapse
Open accessAbstract
Sustained rate-coded signals encode many types of sensory modalities. Some sensory synapses possess specialized ribbon structures, which tether vesicles, to enable high-frequency signaling. However, central synapses lack these structures, yet some can maintain signaling over a wide bandwidth. To analyze the underlying molecular mechanisms, we investigated the function of the active zone core component Bassoon in cerebellar mossy fiber to granule cell synapses. We show that short-term synaptic depression is enhanced in Bassoon knockout mice during sustained high-frequency trains but basal synaptic transmission is unaffected. Fluctuation and quantal analysis as well as quantification with constrained short-term plasticity models revealed that the vesicle reloading rate was halved in the absence of Bassoon. Thus, our data show that the cytomatrix protein Bassoon speeds the reloading of vesicles to release sites at a central excitatory synapse.
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“Piccolo and bassoon are large proteins specific to vertebrates whose major function appears to be to guide synaptic vesicles from the backfield of the synapse to the active zone (Mukherjee et al., 2010; Hallermann et al., 2010).”
From The Presynaptic Active Zone (2012) · cites this paper as Hallermann et al., 2010
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“Recovery at MF–GC synapses follows a bi‐exponential time course (Hallermann et al., 2010).”
From MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer (2025) · cites this paper as Hallermann et al., 2010
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“a deletion of the 17 C-terminal residues of bruchpilot (which are part of the plectin-homology region) impaired attachment of synaptic vesicles to t bars in Drosophila synapses and altered synaptic transmission”
From The Presynaptic Active Zone (2012) · cites this paper as Hallermann et al., 2010
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“suggesting that a major contribution to bruchpilot function is derived from the plectin-homology region (Hallermann et al., 2010).”
From The Presynaptic Active Zone (2012) · cites this paper as Hallermann et al., 2010
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Südhof, T. C. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131412 · Cited by 2,491
Quantal components of the end‐plate potential
del Castillo, J., & Katz, B. (1954) · The Journal of Physiology · doi:10.1113/jphysiol.1954.sp005129 · Cited by 2,201
Synaptic depression and cortical gain control
Abbott, L. F., Varela, J. A., Sen, K., & Nelson, S. B. (1997) · Science · doi:10.1126/science.275.5297.221 · Cited by 1,690
Edwards, F. A., Konnerth, A., Sakmann, B. J., & Takahashi, T. (1989) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/bf00580998 · Cited by 1,282
Differential signaling via the same axon of neocortical pyramidal neurons
Markram, H., Wang, Y., & Tsodyks, M. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.9.5323 · Cited by 1,102
Multiple Roles of Calcium Ions in the Regulation of Neurotransmitter Release
Neher, E., & Sakaba, T. (2008) · Neuron · doi:10.1016/j.neuron.2008.08.019 · Cited by 966
Hair cell synaptic ribbons are essential for synchronous auditory signalling
Khimich, D., Nouvian, R., Pujol, R., Dieck, S. T., Egner, A., Gundelfinger, E. D., & Moser, T. (2005) · Nature · doi:10.1038/nature03418 · Cited by 583
Self-citationDieck, S., Sanmartí-Vila, L., Langnaese, K., Richter, K., Kindler, S., Soyke, A., Wex, H., Smalla, K.-H., Kämpf, U., Fränzer, J.-T., et al. (1998) · The Journal of Cell Biology · doi:10.1083/jcb.142.2.499 · Cited by 482
Self-citationDick, O., Dieck, S. T., Altrock, W. D., Ammermüller, J., Weiler, R., Garner, C., Gundelfinger, E., & Brandstätter, J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00086-2 · Cited by 453
Self-citationDittman, J. S., & Regehr, W. G. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-16-06147.1998 · Cited by 410
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Kemna, N. A. (2022) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9052
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Goel, R. (2022) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-51
Kohansal-Nodehi, M. (2017) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-6118
Littleton, J. T., & Leopold, K. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735117665.793563253
Wong, M. Y., & Kaeser, P. S. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.04486-x · Cited by 1
Short-Term Synaptic Plasticity in Central Pattern Generators
Martinez, D., Matveev, V., & Farzan Nadim, A. (2022) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-0716-1006-0_467
Silva, M., Tran, V., & Marty, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.20.554020
Silva, M., Tran, V., & Marty, A. (2023) · eLife · doi:10.7554/elife.91087.1
Quantitative molecular physiology at active zones of calyceal synapses of the auditory pathway
Alvanos, T. (2023) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-10204 · Cited by 1
Silva, M., Tran, V., & Marty, A. (2023) · eLife · doi:10.7554/elife.91087.2
Identification and characterization of a synaptic active zone assembly proteinPreprint
Lützkendorf, J., Matkovic, T., Götz, T., Liu, S., Ghelani, T., Maglione, M., Grieger, M., Putignano, S., Gao, L., Gimber, N., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.08.588536
Estimates of quantal synaptic parameters in light of more complex vesicle pool modelsPreprint
Bornschein, G., Brachtendorf, S., & Schmidt, H. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.13.628305
Self-citationA model investigation of short-term synaptic plasticity tuned via Unc13 isoformsPreprint
Springer, M., Sigrist, S. J., & Nawrot, M. P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.18.660326
Chen, H., Fan, S., Chen, K., Wang, F., Lu, M., Wu, Y., Lu, H., & Li, J. (2025) · Neurotherapeutics · doi:10.1016/j.neurot.2025.e00740 · Cited by 1
Oelschlegel, A. M., Schicknick, H., Annamneedi, A., Montenegro‐Venegas, C., Fejtová, A., Gundelfinger, E. D., Goldschmidt, J., & Tischmeyer, W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.24.690204 · Cited by 1
Self-citationBowers, M. R., Shields, M. C., & Reist, N. E. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-811114-7.00021-9
Zoicas, I., Sucu, B., Kornhuber, J., & Fejtová, A. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107362 · Cited by 1
Spatial and temporal integration of granular inputs in the cerebellar cortex
Valera, A. M. (2013) · theses.fr (ABES) · doi:10.70675/7bc25863z0a07z4316zb99aza2c3e0669875
Dorgans, K. (2017) · theses.fr (ABES) · doi:10.70675/031e34e5zd5b7z4debzab0dzcd77f69b8c71
Modular information processing in the cerebellar cortex
Spaeth, L. (2019) · theses.fr (ABES) · doi:10.70675/3f3bf723z93edz44a5z8eefz8de5bcc79270
Liu, Y., Xie, G., Jiang, S., Zhou, C., Zhang, C., Qi, J., Scolnick, E. M., Sheng, M., & Zhang, Y. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.03.742543
Roš, H., Xie, Y., Sadeh, S., Takarabe, L. M., & Silver, R. A. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117933
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Metadata
- Authors
- Hallermann, S., Fejtova, A., Schmidt, H., Weyhersmüller, A., Silver, R. A., Gundelfinger, E. D., & Eilers, J.
- Affiliations
- Leipzig University (DE)
- University College London (GB)
- Leibniz Institute for Neurobiology (DE)
- Corresponding author
- Hallermann, Stefan
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 68
- Issue
- 4
- Pages
- 710-723
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC3004039
- OpenAlex
- W2050878615
- Cited by
- 223
- References
- 67
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 7 · 2023: 12 · 2022: 15 · 2021: 11 · 2020: 16 · 2019: 17 · 2018: 13 · 2017: 16 · 2016: 17 · 2015: 13 · 2014: 17 · 2013: 15 · 2012: 16
- FWCI
- 6.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neuron (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular transport and secretion
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- bassoon, short-term synaptic depression, cerebellum, active zone, quantal analysis, rate coding
- MeSH terms
- Animals, Cells, Cultured, Cerebellum, Hippocampus, Mice, Inbred C57BL, Mice, Transgenic, Nerve Tissue Proteins, Neural Inhibition, Reaction Time, Synapses, Synaptic Vesicles, Time Factors, Mice, Knockout, Excitatory Postsynaptic Potentials, Mice, Mice, 129 Strain
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