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

Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

5.9K
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,...
5.9K
Structure and Function of Platelets01:18

Structure and Function of Platelets

1.5K
The cell fragments known as platelets are disc-shaped, with an average diameter of about 3 μm and a thickness of roughly 1 μm. They play a crucial role in the body's vascular clotting system, which also involves plasma proteins, blood cells, and blood vessel tissues.
Platelets are continually replenished, circulating in the bloodstream for 9-12 days before being removed by phagocytes, primarily in the spleen. A microliter of circulating blood contains between 150,000 and 450,000...
1.5K
Amplifying Signals via Second Messengers01:15

Amplifying Signals via Second Messengers

7.2K
Many receptor binding ligands are hydrophilic; they do not cross the cell membrane but bind to cell-surface receptors. Thus, their message must be relayed by second messengers present in the cell cytoplasm. There are several second messenger pathways, each with its own way of relaying information. For example, the G protein-coupled receptors can activate both phosphoinositol and cyclic AMP (cAMP) second messenger pathways. The phosphoinositol pathway is active when the receptor induces...
7.2K
Calmodulin-dependent Signaling01:16

Calmodulin-dependent Signaling

5.2K
Calmodulin (CaM) is a calcium-binding protein in eukaryotes that controls various calcium-regulated cellular processes. It has four calcium-binding sites that bind calcium to form the calcium-calmodulin ( Ca2+-CaM) complex. GPCR stimulation increases the calcium levels in the cells that bind to CaM and induces a conformational change.
The Ca2+-CaM complex does not have enzymatic activity by itself. Instead, the complex binds downstream target proteins, including membrane proteins or enzymes,...
5.2K
Intracellular Signaling Cascades01:24

Intracellular Signaling Cascades

47.6K
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...
47.6K
Intracellular Signaling Affects Focal Adhesions01:17

Intracellular Signaling Affects Focal Adhesions

2.8K
Integrins act both as extracellular input receivers and as intracellular processing activators. As their name suggests, integrins are entirely integrated into the membrane structure. Their hydrophobic membrane-spanning regions interact with the phospholipid bilayer's hydrophobic region. These membrane receptors provide extracellular attachment sites for effectors like hormones and growth factors. They activate intracellular response cascades when their effectors are bound and active.
Some...
2.8K

You might also read

Related Articles

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

Sort by
Same author

LASP1, a Novel Protein in Spermatozoa and Acrosome Reaction.

Molecular reproduction and development·2026
Same author

Predicting Human Aluminium Exposure from Vaccinations Using a Physiologically-Based Toxicokinetic Model.

Vaccines·2026
Same author

DNAM-1 mediates NK-cell activation and host-pathogen interaction via direct binding to fungal cell wall proteases.

Communications biology·2026
Same author

<i>FRMPD4</i>, a causal gene for intellectual disability and epilepsy, is associated with X-linked non-syndromic hearing loss.

medRxiv : the preprint server for health sciences·2026
Same author

A screening pipeline for human proteins interacting with dyes and toxins applied to the melanin virulence determinant 1,8-dihydroxynaphthalene of Aspergillus fumigatus.

Computers in biology and medicine·2026
Same author

Calprotectin and serum amyloid A for disease activity assessment in giant cell arteritis and polymyalgia rheumatica: results from a prospective single-centre cohort study.

Rheumatology international·2026

Related Experiment Video

Updated: Sep 4, 2025

Live-cell Imaging of Platelet Degranulation and Secretion Under Flow
11:42

Live-cell Imaging of Platelet Degranulation and Secretion Under Flow

Published on: July 10, 2017

11.7K

A modular systems biological modelling framework studies cyclic nucleotide signaling in platelets.

Tim Breitenbach1, Nils Englert2, Özge Osmanoglu1

  • 1Department of Bioinformatics, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany.

Journal of Theoretical Biology
|July 17, 2022
PubMed
Summary

This study presents a new computational model for platelet signaling, integrating cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP) pathways. The model aids in predicting drug effects on platelet activation and optimizing experimental designs.

More Related Videos

Mapping the Cellular Distribution of an Optogenetic Protein Using a Light-Stimulation Grid
08:49

Mapping the Cellular Distribution of an Optogenetic Protein Using a Light-Stimulation Grid

Published on: January 26, 2024

296
Analyzing Platelet Subpopulations by Multi-color Flow Cytometry
08:04

Analyzing Platelet Subpopulations by Multi-color Flow Cytometry

Published on: June 10, 2025

353

Related Experiment Videos

Last Updated: Sep 4, 2025

Live-cell Imaging of Platelet Degranulation and Secretion Under Flow
11:42

Live-cell Imaging of Platelet Degranulation and Secretion Under Flow

Published on: July 10, 2017

11.7K
Mapping the Cellular Distribution of an Optogenetic Protein Using a Light-Stimulation Grid
08:49

Mapping the Cellular Distribution of an Optogenetic Protein Using a Light-Stimulation Grid

Published on: January 26, 2024

296
Analyzing Platelet Subpopulations by Multi-color Flow Cytometry
08:04

Analyzing Platelet Subpopulations by Multi-color Flow Cytometry

Published on: June 10, 2025

353

Area of Science:

  • Biochemistry
  • Computational Biology
  • Pharmacology

Background:

  • Platelet activation is inhibited by cyclic nucleotides cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP).
  • Platelet signaling involves complex interactions between different molecular modules.
  • Understanding these interactions is crucial for developing targeted therapies.

Purpose of the Study:

  • To develop a novel computational modeling framework for integrating diverse signaling modules in platelets.
  • To apply this framework to understand the interplay of cAMP and cGMP signaling pathways.
  • To enable quantitative prediction of drug effects on platelet function.

Main Methods:

  • Development of a standardized bilinear coupling mechanism for modular model integration.
  • Incorporation of cAMP and cGMP signaling pathways, including drug stimuli.
  • Integration with models for VASP phosphorylation and pathway activities.
  • Utilizing data-driven modeling and optimization techniques for quantitative predictions.
  • Experimental validation of model predictions.

Main Results:

  • A multi-modular model for platelet signaling, focusing on cGMP and VASP phosphorylation, was successfully developed.
  • The model quantitatively predicts the effects of drugs on cAMP and cGMP pathways.
  • A novel coupling mechanism facilitates sub-model debugging and standardization.
  • Data-driven modeling enabled the design of models with precise quantitative outputs.

Conclusions:

  • A general framework for integrating signaling modules and their stimulus responses has been established.
  • The presented multi-modular model effectively simulates platelet signaling, particularly cGMP and VASP phosphorylation.
  • The framework allows for the estimation of drug actions on inhibitory cyclic nucleotide pathways (cGMP, cAMP), supported by experimental data.