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

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...
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...
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,...
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
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...
Amplifying Signals via Enzymatic Cascade01:22

Amplifying Signals via Enzymatic Cascade

When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze the...

You might also read

Related Articles

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

Sort by
Same author

FSH-blocking therapeutic for osteoporosis.

eLife·2022
Same author

FSH blockade improves cognition in mice with Alzheimer's disease.

Nature·2022
Same author

Reverse cholesterol transport and hepatic osteodystrophy.

Cell metabolism·2022
Same author

Thyrotropin, Hyperthyroidism, and Bone Mass.

The Journal of clinical endocrinology and metabolism·2021
Same author

Sensitivity of ID NOW and RT-PCR for detection of SARS-CoV-2 in an ambulatory population.

eLife·2021
Same author

Bone resorption goes green.

Cell·2021
Same journal

Multiomics Profiling During Autoimmune Demyelination Highlights a Complex Regulatory Role for Ataxin-1 in B Cells.

Annals of the New York Academy of Sciences·2026
Same journal

Global Trends in Light Pollution and Their Relationship With Socioeconomic Factors.

Annals of the New York Academy of Sciences·2026
Same journal

Wired for Corruption: Inter-Brain Synchrony Encodes Bribery-Related Value Information and Predicts Bribery Agreement.

Annals of the New York Academy of Sciences·2026
Same journal

LM-YOLO: A Lightweight Multi-Scale Enhanced Model for Forest Smoke Detection Using Unmanned Aerial Vehicles.

Annals of the New York Academy of Sciences·2026
Same journal

Polyrhythm Perception and Production: A Scoping Review.

Annals of the New York Academy of Sciences·2026
Same journal

DARTS-CNN-BiLSTM: Intelligent Fault Diagnosis for Computer Numerical Control Machine Tool Feed System.

Annals of the New York Academy of Sciences·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2026

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions
07:34

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions

Published on: February 16, 2017

Complexity in signal transduction.

Jameel Iqbal1, Li Sun, Mone Zaidi

  • 1Department of Medicine, Mount Sinai School of Medicine, New York, NY, USA. osteoclast@me.com

Annals of the New York Academy of Sciences
|April 16, 2010
PubMed
Summary
This summary is machine-generated.

Cell signaling complexity arises from reactivated pathways, not just cell differences. This review proposes a new model explaining how temporal pathway reactivation orchestrates diverse cellular outcomes.

More Related Videos

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Spatiotemporal Control of Protein Activity through Optogenetic Allosteric Regulation
08:00

Spatiotemporal Control of Protein Activity through Optogenetic Allosteric Regulation

Published on: October 4, 2024

Related Experiment Videos

Last Updated: Jun 13, 2026

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions
07:34

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions

Published on: February 16, 2017

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Spatiotemporal Control of Protein Activity through Optogenetic Allosteric Regulation
08:00

Spatiotemporal Control of Protein Activity through Optogenetic Allosteric Regulation

Published on: October 4, 2024

Area of Science:

  • Cell Biology
  • Biochemistry
  • Systems Biology

Background:

  • Cell signaling pathways often yield varied outcomes despite similar stimuli.
  • Existing models inadequately explain response diversity within a single cell type.
  • A kinetic disconnect exists between signal transduction and cellular action.

Purpose of the Study:

  • To review complexity in cell signaling.
  • To explore explanations for response variation within single cell types.
  • To propose a novel model for signal transduction.

Main Methods:

  • Literature review of cell signaling complexity.
  • Examination of kinetic disconnects in signal transduction.
  • Analysis of autocrine signaling and pathway reactivation.
  • Review of kinase pathway frequency and amplitude modulation.

Main Results:

  • Multiple stimuli activating the same pathways lead to different cellular outcomes.
  • Kinetic disconnects can be explained by cascading autocrine molecules and multiple pathway reactivations.
  • Kinase pathways demonstrate frequency and amplitude modulation.

Conclusions:

  • A new model of signal transduction is proposed.
  • This model involves temporal reactivation of multiple signaling pathways.
  • This temporal reactivation orchestrates unique physiological outcomes.