Dataset Information

Synaptic transmission induces site specific changes in sialylation on N-linked glycoproteins in nerve terminals

ABSTRACT: Synaptic transmission is an ultra-fast process that aims at transducing a signal from one neuron to another neuron or cell by the release of neurotransmitters. This process requires rapid response which can be transmitted through fast molecular switches such as post-translational modifications of proteins. We aimed at investigating the potential importance in dynamic modulation of sialic acids on N-linked glycoproteins that are essential for the synaptic transmission process. For this, we characterize site-specific alteration in sialylated N-linked glycosylation in the active zone of rat nerve terminals (synaptosomes) after depolarization by using quantitative sialiomics.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Rattus Norvegicus (rat)

TISSUE(S): Brain

SUBMITTER: Inga Matthies

LAB HEAD: Martin R. Larsen

PROVIDER: PXD016230 | Pride | 2020-06-12

REPOSITORIES: Pride

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Publications

Depolarization-dependent Induction of Site-specific Changes in Sialylation on N-linked Glycoproteins in Rat Nerve Terminals.

Boll Inga I Jensen Pia P Schwämmle Veit V Larsen Martin R MR

Molecular & cellular proteomics : MCP 20200609 9

Synaptic transmission leading to release of neurotransmitters in the nervous system is a fast and highly dynamic process. Previously, protein interaction and phosphorylation have been thought to be the main regulators of synaptic transmission. Here we show that sialylation of N-linked glycosylation is a novel potential modulator of neurotransmitter release mechanisms by investigating depolarization-dependent changes of formerly sialylated N-linked glycopeptides. We suggest that neg ...[more]

PMID: 32518069

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Project description:This is a model of one presynaptic and one postsynaptic cell, as described in the article: Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model. Wang XJ, Buzsáki G. J Neurosci. 1996 Oct 15;16(20):6402-13. PMID:8815919; Abstract: Fast neuronal oscillations (gamma, 20-80 Hz) have been observed in the neocortex and hippocampus during behavioral arousal. Using computer simulations, we investigated the hypothesis that such rhythmic activity can emerge in a random network of interconnected GABAergic fast-spiking interneurons. Specific conditions for the population synchronization, on properties of single cells and the circuit, were identified. These include the following: (1) that the amplitude of spike afterhyperpolarization be above the GABAA synaptic reversal potential; (2) that the ratio between the synaptic decay time constant and the oscillation period be sufficiently large; (3) that the effects of heterogeneities be modest because of a steep frequency-current relationship of fast-spiking neurons. Furthermore, using a population coherence measure, based on coincident firings of neural pairs, it is demonstrated that large-scale network synchronization requires a critical (minimal) average number of synaptic contacts per cell, which is not sensitive to the network size. By changing the GABAA synaptic maximal conductance, synaptic decay time constant, or the mean external excitatory drive to the network, the neuronal firing frequencies were gradually and monotonically varied. By contrast, the network synchronization was found to be high only within a frequency band coinciding with the gamma (20-80 Hz) range. We conclude that the GABAA synaptic transmission provides a suitable mechanism for synchronized gamma oscillations in a sparsely connected network of fast-spiking interneurons. In turn, the interneuronal network can presumably maintain subthreshold oscillations in principal cell populations and serve to synchronize discharges of spatially distributed neurons. The presynaptic and postsynaptic cell have identical parameters and the variables in each cell are identified by using _pre or _post as a postfix to their names. The presynaptic cell influences the postsynaptic one via the synapse (variables and parameters: I_syn, E_syn, g_syn, F, theta_syn, alpha, beta). The applied current to the presynaptic cell, I_app_pre, is set to 2 microA/cm2 for 10 ms as in figure 1C of the article. The dependence of the postsynaptic cell on directly applied current can be investigated in isolation by setting I_app_pre to 0 and altering I_app_post. Originally created by libAntimony v1.4 (using libSBML 3.4.1)

Dataset Information

Synaptic transmission induces site specific changes in sialylation on N-linked glycoproteins in nerve terminals

Publications

Depolarization-dependent Induction of Site-specific Changes in Sialylation on <i>N-</i>linked Glycoproteins in Rat Nerve Terminals.

Similar Datasets

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