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

The Two-State Receptor Model01:29

The Two-State Receptor Model

The two-state receptor model explains a drug's interaction with receptors, such as G protein-coupled receptors and ligand-gated ion channels, to induce or inhibit a biological response. When no natural ligands are present, a receptor exists in an equilibrium of inactive (Ri) and active (Ra) conformations. The inactive form does not produce a response, while the active form generates a basal effect known as constitutive activity.
The binding affinity of a drug determines its interaction with one...
Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower Kd...
Pharmacodynamic Models: Emax Drug–Concentration Effect Model01:18

Pharmacodynamic Models: Emax Drug–Concentration Effect Model

The Emax drug-concentration effect model is central to pharmacodynamics in drug discovery and development. This model is predicated on the receptor occupancy theory, which posits that the effect of a drug is directly related to the number of receptors occupied by the drug and the resultant complex formation.The model describes the reversible interaction between a drug (C) and a receptor (R) to form a drug-receptor complex (RC). The kinetics of this interaction are quantified by an equation that...
Intracellular Signaling Cascades01:24

Intracellular Signaling Cascades

Once a ligand binds to a receptor, the signal is transmitted through the membrane and into the cytoplasm. The continuation of a signal in this manner is called signal transduction. Signal transduction only occurs with cell-surface receptors, which cannot interact with most components of the cell, such as DNA. Only internal receptors can interact directly with DNA in the nucleus to initiate protein synthesis. When a ligand binds to its receptor, conformational changes occur that affect the...
Receptor-mediated Endocytosis01:20

Receptor-mediated Endocytosis

Receptor-mediated endocytosis is when bulk amounts of specific molecules are imported into a cell after binding to cell surface receptors. The molecules bound to these receptors are taken into the cell through inward folding of the cell surface membrane, which is eventually pinched off into a vesicle within the cell. Structural proteins, such as clathrin, coat the budding vesicle.
Clathrin-Mediated Endocytosis of LDL
One well-characterized example of receptor-mediated endocytosis is the...
Receptor-Mediated Endocytosis01:20

Receptor-Mediated Endocytosis

Receptor-mediated endocytosis is when bulk amounts of specific molecules are imported into a cell after binding to cell surface receptors. The molecules bound to these receptors are taken into the cell through inward folding of the cell surface membrane, which is eventually pinched off into a vesicle within the cell. Structural proteins, such as clathrin, coat the budding vesicle.
Clathrin-Mediated Endocytosis of LDL
One well-characterized example of receptor-mediated endocytosis is the...

You might also read

Related Articles

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

Sort by
Same author

Erratum: "Highly versatile, two-color setup for high-order harmonic generation using spatial light modulators" [Rev. Sci. Instrum. 95, 073002 (2024)].

The Review of scientific instruments·2026
Same author

Deep learning-based automated assessment of pulmonary artery indices and surgical approach triage for tetralogy of Fallot from multicenter cardiac computed tomography (CT).

Clinical radiology·2026
Same author

The effects of nitrogen and phosphorus fertilization on nutrient resorption in female and male Populus cathayana.

Plant biology (Stuttgart, Germany)·2026
Same author

Rubisco large and small subunits provide insights into allotetraploidy events from the genus Oryza.

Plant biology (Stuttgart, Germany)·2026
Same author

Energy Bunching from Subcycle Ionization Injection in Laser Wakefield Acceleration.

Physical review letters·2026
Same author

Dimensionality of the reinforced superconductivity in UTe<sub>2</sub>.

Nature communications·2025
Same journal

Correction to: Exploring the conformational space of the NorA efflux pump of Staphylococcus aureus: a microscale conventional molecular dynamics and metadynamics simulation approach.

Journal of biological physics·2026
Same journal

Multiscale frameworks for exploring protein energy landscapes: advances in theory and simulation.

Journal of biological physics·2026
Same journal

Mapping increased flexibility and conformational divergence via N-terminal helix-to-coil transition in USP12 mutant Y49N: a comprehensive in-detail normal mode simulation study.

Journal of biological physics·2026
Same journal

A thermodynamically consistent approach to modeling epithelial solute and water transport in the proximal convoluted tubule.

Journal of biological physics·2026
Same journal

Exploring the conformational space of the NorA efflux pump of Staphylococcus aureus: a microscale conventional molecular dynamics and metadynamics simulation approach.

Journal of biological physics·2026
Same journal

Coupled optical-thermal-chemical modeling of pulsed 808-nm ICG phototherapy using Monte Carlo photon transport.

Journal of biological physics·2026
See all related articles

Related Experiment Video

Updated: May 14, 2026

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

A statistical mechanics model for receptor clustering.

C Guo1, H Levine

  • 1Dept. of Physics, University of California San Diego, La Jolla, CA 92093-0319 U.S.A.

Journal of Biological Physics
|January 25, 2013
PubMed
Summary
This summary is machine-generated.

A new model explains how tumor necrosis factor receptor I (TNFR1) clusters, crucial for cell signaling. This mechanism enhances cell sensitivity and robustness through cooperative binding.

Keywords:
Receptor clusteringSignal transductionStatistical mechanics

More Related Videos

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy
06:51

Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy

Published on: August 2, 2018

Related Experiment Videos

Last Updated: May 14, 2026

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy
15:13

High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

Published on: July 25, 2014

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy
06:51

Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy

Published on: August 2, 2018

Area of Science:

  • Statistical mechanics
  • Cellular biology
  • Biophysics

Background:

  • Tumor necrosis factor receptor I (TNFR1) clustering is vital for cellular signaling pathways.
  • Understanding the dynamics of TNFR1 clustering is key to deciphering cellular responses.

Purpose of the Study:

  • To introduce a simple lattice statistical mechanics model for TNFR1 clustering.
  • To explain the mechanisms behind TNFR1 clustering induced by cytoplasmic signal transducer over-expression and extracellular ligand binding.
  • To elucidate the reasons for cluster breakup upon transducer loss.

Main Methods:

  • Development of a lattice statistical mechanics model.
  • Analysis of cooperative phase transitions driven by multimeric binding.
  • Simulation of receptor-transducer complex interactions.

Main Results:

  • The model successfully explains TNFR1 clustering under various conditions, including over-expression and ligand binding.
  • It elucidates the rapid dissociation of clusters when the transducer is lost.
  • A first-order cooperative phase transition driven by multimeric binding is identified as the core mechanism.

Conclusions:

  • The multimeric binding capability of the receptor-transducer complex drives cooperative phase transitions, enabling TNFR1 clustering.
  • This cooperativity enhances cellular sensitivity and robustness in signaling.
  • The developed model provides a general framework applicable to other receptor-clustering signaling systems.