Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ion Channels01:19

Ion Channels

88.9K
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...
88.9K
Ligand-gated Ion Channels01:19

Ligand-gated Ion Channels

13.0K
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...
13.0K
Non-gated Ion Channels01:24

Non-gated Ion Channels

7.4K
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....
7.4K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.3K
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....
3.3K
Mechanically-gated Ion Channels01:12

Mechanically-gated Ion Channels

6.9K
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...
6.9K
Ligand-Gated Ion Channel Receptor: Gating Mechanism01:30

Ligand-Gated Ion Channel Receptor: Gating Mechanism

2.9K
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...
2.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mechanosensitive pore opening of a prokaryotic voltage-gated sodium channel.

eLife·2023
Same author

The mechanism of MICU-dependent gating of the mitochondrial Ca<sup>2+</sup>uniporter.

eLife·2021
Same author

Dynamic Clamp on a Windows PC.

Methods in molecular biology (Clifton, N.J.)·2020
Same author

Sodium channels implement a molecular leaky integrator that detects action potentials and regulates neuronal firing.

eLife·2020
Same author

Estradiol Enhances the Depolarizing Response to GABA and AMPA Synaptic Conductances in Arcuate Kisspeptin Neurons by Diminishing Voltage-Gated Potassium Currents.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2019
Same author

Restoration of high-sensitivity and adapting vision with a cone opsin.

Nature communications·2019
Same journal

Tracking Synthetic Adhesins on Bacterial Surfaces with Immunofluorescence Microscopy.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Post-Selection Methods for Analyzing mRNA Display Selections and Optimization of Hits.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

High-Performance Computing in Tandem Mass Spectrometry (MS/MS) Peptide Identification.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Engineering and Adapting Disulfide-Containing Proteins to Enable Intracellular Functionality.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

AI-Driven Protein Research: From Prediction to Design.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for the In Vitro Selection of Protein and Peptide Libraries Using mRNA Display.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Oct 10, 2025

Recapitulation of an Ion Channel IV Curve Using Frequency Components
10:14

Recapitulation of an Ion Channel IV Curve Using Frequency Components

Published on: February 8, 2011

13.7K

Parameter Optimization for Ion Channel Models: Integrating New Data with Known Channel Properties.

Marco A Navarro1, Marzie Amirshenava1, Autoosa Salari2

  • 1Division of Biological Sciences, University of Missouri, Columbia, MO, USA.

Methods in Molecular Biology (Clifton, N.J.)
|December 10, 2021
PubMed
Summary
This summary is machine-generated.

Accurately estimating ion channel kinetics requires complex models and parameter reduction. The QuB software simplifies this process by implementing a constraining formalism for parameter estimation from experimental data.

Keywords:
Ion channelKinetic mechanismKinetic parametersMarkov modelModel constraintsPrior knowledge

More Related Videos

Mutagenesis and Functional Analysis of Ion Channels Heterologously Expressed in Mammalian Cells
15:28

Mutagenesis and Functional Analysis of Ion Channels Heterologously Expressed in Mammalian Cells

Published on: October 1, 2010

17.6K
One-channel Cell-attached Patch-clamp Recording
13:07

One-channel Cell-attached Patch-clamp Recording

Published on: June 9, 2014

24.7K

Related Experiment Videos

Last Updated: Oct 10, 2025

Recapitulation of an Ion Channel IV Curve Using Frequency Components
10:14

Recapitulation of an Ion Channel IV Curve Using Frequency Components

Published on: February 8, 2011

13.7K
Mutagenesis and Functional Analysis of Ion Channels Heterologously Expressed in Mammalian Cells
15:28

Mutagenesis and Functional Analysis of Ion Channels Heterologously Expressed in Mammalian Cells

Published on: October 1, 2010

17.6K
One-channel Cell-attached Patch-clamp Recording
13:07

One-channel Cell-attached Patch-clamp Recording

Published on: June 9, 2014

24.7K

Area of Science:

  • Membrane physiology
  • Biophysics
  • Computational biology

Background:

  • Ion channels are crucial for membrane physiology.
  • Accurate kinetic mechanisms are essential for understanding ion channel function.
  • Estimating kinetic parameters for complex mechanisms is challenging due to large parameter numbers and limited data.

Purpose of the Study:

  • To introduce the QuB software, which implements a constraining formalism for estimating kinetic parameters.
  • To provide a method for reducing parameters and ensuring estimates align with existing knowledge.
  • To enable efficient parameter estimation from diverse experimental data.

Main Methods:

  • Utilizing a comprehensive formalism for estimating kinetic parameters with explicit and implicit constraints.
  • Developing the QuB software with a visual interface and scripting language.
  • Formulating kinetic models and constraints of arbitrary complexity.

Main Results:

  • The QuB software effectively implements the constraining formalism for kinetic parameter estimation.
  • The software allows for the formulation of complex kinetic models and constraints.
  • Efficient parameter estimation from various experimental data types is achievable.

Conclusions:

  • The QuB software offers a powerful solution for the challenging task of ion channel kinetic mechanism estimation.
  • The constraining formalism and software facilitate more accurate and reliable kinetic parameter determination.
  • QuB enhances the ability to study ion channel function through improved kinetic modeling.