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Related Concept Videos

Overview of Synapses01:25

Overview of Synapses

A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
Postsynaptic Potential (PSP)01:32

Postsynaptic Potential (PSP)

Postsynaptic potential (PSP) refers to a change in the electrical potential of a neuron when neurotransmitters released by presynaptic neurons bind to postsynaptic receptors. This potential can either be excitatory, leading to depolarization and ultimately action potential generation, or inhibitory, leading to hyperpolarization and suppression of the postsynaptic neuron.
There are two types of receptors: ionotropic and metabotropic.
The ionotropic receptor is the membrane protein that has an...
Integration of Synaptic Events01:28

Integration of Synaptic Events

Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
The Synapse02:47

The Synapse

Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
Synaptic Signaling01:12

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.

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Related Experiment Video

Updated: Jun 22, 2026

Presynapse Formation Assay Using Presynapse Organizer Beads and &ldquo;Neuron Ball&rdquo; Culture
10:17

Presynapse Formation Assay Using Presynapse Organizer Beads and “Neuron Ball” Culture

Published on: August 2, 2019

Systems approach to explore components and interactions in the presynapse.

Noura S Abul-Husn1, Ittai Bushlin, José A Morón

  • 1Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA.

Proteomics
|June 30, 2009
PubMed
Summary

This study used proteomics and systems biology to identify proteins in the presynaptic (PRE) nerve terminal. Computational methods predicted novel PRE proteins and complexes, aiding in understanding nervous system function.

More Related Videos

Vibrodissociation of Neurons from Rodent Brain Slices to Study Synaptic Transmission and Image Presynaptic Terminals
08:38

Vibrodissociation of Neurons from Rodent Brain Slices to Study Synaptic Transmission and Image Presynaptic Terminals

Published on: May 25, 2011

Related Experiment Videos

Last Updated: Jun 22, 2026

Presynapse Formation Assay Using Presynapse Organizer Beads and &ldquo;Neuron Ball&rdquo; Culture
10:17

Presynapse Formation Assay Using Presynapse Organizer Beads and “Neuron Ball” Culture

Published on: August 2, 2019

Vibrodissociation of Neurons from Rodent Brain Slices to Study Synaptic Transmission and Image Presynaptic Terminals
08:38

Vibrodissociation of Neurons from Rodent Brain Slices to Study Synaptic Transmission and Image Presynaptic Terminals

Published on: May 25, 2011

Area of Science:

  • Neuroscience
  • Proteomics
  • Systems Biology

Background:

  • Neuroscientific research benefits from understanding nervous system structure and function.
  • Integrating large neuroproteomic datasets is crucial for a comprehensive view of neuronal subcompartments.
  • Computational methods can predict biological insights from extensive proteomic data.

Purpose of the Study:

  • To characterize the presynaptic (PRE) nerve terminal using an integrated proteomics and systems biology approach.
  • To identify novel proteins and complexes within the PRE nerve terminal.
  • To demonstrate the utility of combining proteomics, data integration, and computational analyses.

Main Methods:

  • Performed proteomic analyses on presynaptically enriched fractions.
  • Generated a literature-based protein-protein interaction network for the PRE terminal.
  • Integrated multiple proteomic datasets to create a core list of PRE proteins.
  • Applied graph theory-inspired algorithms for computational prediction of additional components and complexes.
  • Experimentally validated computational predictions.

Main Results:

  • Generated a core list of 117 PRE proteins.
  • Predicted 92 additional PRE components and a 17-protein PRE complex using computational algorithms.
  • Experimental validation confirmed the accuracy of computational predictions.
  • Identified novel proteins and complexes in the PRE nerve terminal, including low-abundance entities.

Conclusions:

  • The integrated approach combining proteomics, data integration, and computational analyses is effective for comprehensive characterization of subcellular compartments.
  • This methodology aids in understanding functional components, particularly low-abundance proteins and interactions, within the PRE nerve terminal.
  • Computational predictions can successfully identify novel proteins and complexes in neurobiological research.