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Related Concept Videos

Ion Channels01:19

Ion Channels

92.5K
The movement of ions like sodium, potassium, and calcium into and out of the cell is essential to maintain the electrochemical gradient in living cells. The ion channels—a class of membrane transport proteins—help maintain this ionic gradient for the smooth functioning of physiological activities such as maintaining cell size and volume, conducting nerve impulses, and gas and nutrient exchange.
Ion channels are specialized integral membrane proteins on the plasma membrane that allow...
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Non-gated Ion Channels01:24

Non-gated Ion Channels

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Ion channels are specialized proteins on the plasma membrane that allow charged ions to pass down their electrochemical gradient. Their main function is to maintain the membrane potential which is critical for cell viability. These channels are either gated or non-gated and can transport more than a thousand ions within milliseconds for the cellular event to occur.
Compared to the gated ion channels, the non-gated channels, also known as leakage or passive channels, have no gating mechanism....
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Ligand-Gated Ion Channel Receptor: Gating Mechanism01:30

Ligand-Gated Ion Channel Receptor: Gating Mechanism

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Ligand-gated ion channels are transmembrane proteins that play a vital role in intercellular communication and functions of the nervous system. They allow the influx of ions across the membrane once the neurotransmitter binds, allowing the subsequent transmission of electrical excitation across the neurons. Other ligand-gated ion channels, like the γ-aminobutyric acid (GABA) receptor, permit anions like chloride into the cells on the binding of the GABA molecule. Their entry into the cell...
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Ligand-gated Ion Channels01:19

Ligand-gated Ion Channels

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Ligand-gated ion channels are transmembrane proteins with a channel for ions to pass through and a binding site for a ligand. The channel opens only when a ligand attaches to the binding site.
Three Subfamilies of Ligand-gated Ion Channels
Ligand-gated ion channels fall into three subfamilies. The 'Cys-loop' includes the nicotinic acetylcholine receptors, γ-aminobutyric acid (GABA), glycine, and 5-hydroxytryptamine receptors. The second one is the 'Pore-loop' channels that...
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The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

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A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
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Mechanically-gated Ion Channels01:12

Mechanically-gated Ion Channels

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Mechanically-gated ion channels are proteins found in eukaryotic and prokaryotic cell membranes that open in response to mechanical stress. Tension, compression, swelling, and shear stress can alter the conformation of the protein, opening a transmembrane channel that allows the passage of ions for signal transmission. In eukaryotes, mechanically-gated channels are distributed in several regions like the neurons, lungs, skin, bladder, and heart, where they play critical roles in numerous...
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Recapitulation of an Ion Channel IV Curve Using Frequency Components
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Recapitulation of an Ion Channel IV Curve Using Frequency Components

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Bayesian Statistical Inference in Ion-Channel Models with Exact Missed Event Correction.

Michael Epstein1, Ben Calderhead2, Mark A Girolami3

  • 1Department of Mathematics, Imperial College London, London, UK; CoMPLEX, University College London, London, UK.

Biophysical Journal
|July 28, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces Bayesian modeling for single ion channels, accurately correcting for missed events in recordings. This approach enhances parameter identifiability and uncertainty assessment compared to traditional methods.

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Area of Science:

  • Biophysics
  • Computational Neuroscience
  • Pharmacology

Background:

  • Single ion channel behavior is modeled as continuous-time Markov processes.
  • Experimental limitations like noise filtering reduce time resolution, causing missed events (unobserved openings/shuttings).
  • Accurate modeling requires explicit correction for these missed events to avoid parameter bias.

Purpose of the Study:

  • To present the first Bayesian modeling approach for ion channels with exact missed events correction.
  • To improve the assessment of parameter identifiability and uncertainty in ion channel models.
  • To develop a computationally feasible method for Bayesian inference in complex ion channel models.

Main Methods:

  • Developed a Bayesian framework incorporating exact missed events correction.
  • Implemented a two-step Markov chain Monte Carlo method (BICME) for efficient Bayesian inference.
  • Validated the method using synthetic and real single-channel recordings from muscle nicotinic acetylcholine channels.

Main Results:

  • The Bayesian approach accurately accounts for missed events, crucial for reliable parameter estimation.
  • The BICME method enables Bayesian inference in complex, realistic ion channel models.
  • Parameter uncertainty characterization is more accurate than with maximum-likelihood methods.

Conclusions:

  • Bayesian modeling with missed events correction provides a more robust analysis of single ion channel behavior.
  • The BICME method offers a powerful tool for studying ion channel kinetics and dynamics.
  • Publicly available code facilitates broader application and advancement in the field.