Dataset Information

Synaptic and nonsynaptic localization of protocadherin-gammaC5 in the rat brain.

ABSTRACT: It has been proposed that gamma-protocadherins (Pcdh-gammas) are involved in the establishment of specific patterns of neuronal connectivity. Contrary to the other Pcdh-gammas, which are expressed in the embryo, Pcdh-gammaC5 is expressed postnatally in the brain, coinciding with the peak of synaptogenesis. We have developed an antibody specific for Pcdh-gammaC5 to study the expression and localization of Pcdh-gammaC5 in brain. Pcdh-gammaC5 is highly expressed in the olfactory bulb, corpus striatum, dentate gyrus, CA1 region of the hippocampus, layers I and II of the cerebral cortex, and molecular layer of the cerebellum. Pcdh-gammaC5 is expressed in both neurons and astrocytes. In hippocampal neuronal cultures, and in the absence of astrocytes, a significant percentage of synapses, more GABAergic than glutamatergic, have associated Pcdh-gammaC5 clusters. Some GABAergic axons show Pcdh-gammaC5 in the majority of their synapses. Nevertheless, many Pcdh-gammaC5 clusters are not associated with synapses. In the brain, significant numbers of Pcdh-gammaC5 clusters are located at contact points between neurons and astrocytes. Electron microscopic immunocytochemistry of the rat brain shows that 1) Pcdh-gammaC5 is present in some GABAergic and glutamatergic synapses both pre- and postsynaptically; 2) Pcdh-gammaC5 is also extrasynaptically localized in membranes and in cytoplasmic organelles of neurons and astrocytes; and 3) Pcdh-gammaC5 is also localized in perisynaptic astrocyte processes. The results support the notions that 1) Pcdh-gammaC5 plays a role in synaptic specificity and/or synaptic maturation and 2) Pcdh-gammaC5 is involved in neuron-neuron synaptic interactions and in neuron-astrocyte interactions, including perisynaptic neuron-astrocyte interactions.

SUBMITTER: Li Y

PROVIDER: S-EPMC3209968 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Synaptic and nonsynaptic localization of protocadherin-gammaC5 in the rat brain.

Li Yanfang Y Serwanski David R DR Miralles Celia P CP Fiondella Christopher G CG Loturco Joseph J JJ Rubio Maria E ME De Blas Angel L AL

The Journal of comparative neurology 20100901 17

It has been proposed that gamma-protocadherins (Pcdh-gammas) are involved in the establishment of specific patterns of neuronal connectivity. Contrary to the other Pcdh-gammas, which are expressed in the embryo, Pcdh-gammaC5 is expressed postnatally in the brain, coinciding with the peak of synaptogenesis. We have developed an antibody specific for Pcdh-gammaC5 to study the expression and localization of Pcdh-gammaC5 in brain. Pcdh-gammaC5 is highly expressed in the olfactory bulb, corpus striat ...[more]

PMID: 20589908

Similar Datasets

Project description:Learning and memory operations in neural circuits are believed to involve molecular cascades of synaptic and nonsynaptic changes that lead to a diverse repertoire of dynamical phenomena at higher levels of processing. Hebbian and homeostatic plasticity, neuromodulation, and intrinsic excitability all conspire to form and maintain memories. But it is still unclear how these seemingly redundant mechanisms could jointly orchestrate learning in a more unified system. To this end, a Hebbian learning rule for spiking neurons inspired by Bayesian statistics is proposed. In this model, synaptic weights and intrinsic currents are adapted on-line upon arrival of single spikes, which initiate a cascade of temporally interacting memory traces that locally estimate probabilities associated with relative neuronal activation levels. Trace dynamics enable synaptic learning to readily demonstrate a spike-timing dependence, stably return to a set-point over long time scales, and remain competitive despite this stability. Beyond unsupervised learning, linking the traces with an external plasticity-modulating signal enables spike-based reinforcement learning. At the postsynaptic neuron, the traces are represented by an activity-dependent ion channel that is shown to regulate the input received by a postsynaptic cell and generate intrinsic graded persistent firing levels. We show how spike-based Hebbian-Bayesian learning can be performed in a simulated inference task using integrate-and-fire (IAF) neurons that are Poisson-firing and background-driven, similar to the preferred regime of cortical neurons. Our results support the view that neurons can represent information in the form of probability distributions, and that probabilistic inference could be a functional by-product of coupled synaptic and nonsynaptic mechanisms operating over several timescales. The model provides a biophysical realization of Bayesian computation by reconciling several observed neural phenomena whose functional effects are only partially understood in concert.

Project description:Protein ubiquitination is an essential post-translational modification regulating neurodevelopment, synaptic plasticity, learning, and memory, and its dysregulation contributes to the pathogenesis of neurological diseases. Here we report a systematic analysis of ubiquitinated proteome (ubiquitome) in rat brain using a newly developed monoclonal antibody that recognizes the diglycine tag on lysine residues in trypsinized peptides (K-GG peptides). Initial antibody specificity analysis showed that the antibody can distinguish K-GG peptides from linear GG peptides or pseudo K-GG peptides derived from iodoacetamide. To evaluate the false discovery rate of K-GG peptide matches during database search, we introduced a null experiment using bacterial lysate that contains no such peptides. The brain ubiquitome was then analyzed by this antibody enrichment with or without strong cation exchange (SCX) prefractionation. During SCX chromatography, although the vast majority of K-GG peptides were detected in the fractions containing at least three positive charged peptides, specific K-GG peptides with two positive charges (e.g., protein N-terminal acetylated and C-terminal non-K/R peptides) were also identified in early fractions. The reliability of C-terminal K-GG peptides was also extensively investigated. Finally, we collected a data set of 1786 K-GG sites on 2064 peptides in 921 proteins and estimated their abundance by spectral counting. The study reveals a wide range of ubiquitination events on key components in presynaptic region (e.g., Bassoon, NSF, SNAP25, synapsin, synaptotagmin, and syntaxin) and postsynaptic density (e.g., PSD-95, GKAP, CaMKII, as well as receptors for NMDA, AMPA, GABA, serotonin, and acetylcholine). We also determined ubiquitination sites on amyloid precursor protein and alpha synuclein that are thought to be causative agents in Alzhermer's and Parkinson's disorders, respectively. As K-GG peptides can also be produced from Nedd8 or ISG15 modified proteins, we quantified these proteins in the brain and found that their levels are less than 2% of ubiquitin. Together, this study demonstrates that a large number of neuronal proteins are modified by ubiquitination and provides a feasible method for profiling the ubiquitome in the brain.

Dataset Information

Synaptic and nonsynaptic localization of protocadherin-gammaC5 in the rat brain.

Publications

Synaptic and nonsynaptic localization of protocadherin-gammaC5 in the rat brain.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets