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

Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
Graded and Abrupt Responses
Some signaling systems generate...
Overview of Cell Signaling01:23

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
Overview of Cell Signaling01:23

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
What is Cell Signaling?02:03

What is Cell Signaling?

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate to respond to the environment.
What is Cell Signaling?02:03

What is Cell Signaling?

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate to respond to the environment.
Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...

You might also read

Related Articles

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

Sort by
Same author

Towards robust foundation models for digital pathology.

Nature communications·2026
Same author

Beyond attention heatmaps: How to get better explanations for multiple instance learning models in histopathology.

Medical image analysis·2026
Same author

Real-world data on the clinical impact of molecular tumor boards in high- and low-grade serous ovarian cancer.

Frontiers in oncology·2026
Same author

Spatially resolved ex vivo drug response profiling in SMARCB1-deficient sinonasal carcinoma.

EMBO molecular medicine·2026
Same author

[Early Detection of Systemic Amyloidosis through Routine Histological Examination in Risk Patients Undergoing Carpal Tunnel Surgery].

Handchirurgie, Mikrochirurgie, plastische Chirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Handchirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Mikrochirurgie der Peripheren Nerven und Gefasse : Organ der V...·2026
Same author

Multi-layered molecular profiling informs the diagnosis and targeted therapy of desmoplastic small round cell tumor.

Nature communications·2026
Same journal

A comprehensive benchmark of sequence-based subcellular localization predictors for human proteins.

Nature methods·2026
Same journal

Efficient evidence-based genome annotation with EviAnn.

Nature methods·2026
Same journal

ClairS: a deep-learning method for long-read tumor-normal pair somatic small variant calling.

Nature methods·2026
Same journal

RNAbpFlow: base pair-augmented SE(3) flow matching for conditional RNA 3D structure generation.

Nature methods·2026
Same journal

Spatio-DARLIN enables robust and efficient in situ lineage tracing in mice at single-cell resolution.

Nature methods·2026
Same journal

EasyGrid: a versatile platform for automated cryo-EM sample preparation and quality control.

Nature methods·2026
See all related articles

Related Experiment Video

Updated: May 25, 2026

Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

Computational modeling of cellular signaling processes embedded into dynamic spatial contexts.

Bastian R Angermann1, Frederick Klauschen, Alex D Garcia

  • 1Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.

Nature Methods
|January 31, 2012
PubMed
Summary
This summary is machine-generated.

This study presents a new computational method to model complex cellular signaling pathways by integrating molecular interactions with dynamic cell shapes. This approach enhances our understanding of cell biology and behavior.

More Related Videos

Imaging G-protein Coupled Receptor (GPCR)-mediated Signaling Events that Control Chemotaxis of Dictyostelium Discoideum
09:40

Imaging G-protein Coupled Receptor (GPCR)-mediated Signaling Events that Control Chemotaxis of Dictyostelium Discoideum

Published on: September 20, 2011

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Related Experiment Videos

Last Updated: May 25, 2026

Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

Imaging G-protein Coupled Receptor (GPCR)-mediated Signaling Events that Control Chemotaxis of Dictyostelium Discoideum
09:40

Imaging G-protein Coupled Receptor (GPCR)-mediated Signaling Events that Control Chemotaxis of Dictyostelium Discoideum

Published on: September 20, 2011

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Area of Science:

  • Cellular and Molecular Biology
  • Computational Biology
  • Biophysics

Background:

  • Cellular signaling relies on precise spatiotemporal molecular distributions.
  • High-resolution microscopy provides data for computational models of molecular assembly and cellular behavior.
  • Integrating complex reaction cascades with spatial localization in dynamic cell morphologies is a significant modeling challenge.

Purpose of the Study:

  • To develop an automated approach for generating computational models of complex reaction networks.
  • To integrate these networks with detailed, adaptive models of cellular morphology.
  • To provide insights into cell biological processes through advanced simulation techniques.

Main Methods:

  • Automatic generation of computational representations of reaction networks from bimolecular interaction rules.
  • Embedding these networks into adaptive models of cellular morphology.
  • Utilizing the Simmune toolset with graphical interfaces and programming libraries.

Main Results:

  • Demonstrated the capacity of the simulation technique to model receptor-mediated cellular adhesion.
  • Illustrated signal-induced localized mitogen-activated protein kinase (MAPK) activation in yeast.
  • Successfully integrated complex reaction cascades with spatial localization in dynamic cellular models.

Conclusions:

  • The developed approach effectively addresses challenges in modeling cellular signaling with spatial and dynamic complexity.
  • This simulation technique offers valuable insights into cell biological processes, particularly in yeast.
  • The Simmune toolset provides accessible and powerful tools for advanced cell biology modeling.