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Related Concept Videos

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...
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,...
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...

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Related Experiment Video

Updated: May 31, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Combined logical and data-driven models for linking signalling pathways to cellular response.

Ioannis N Melas1, Alexander Mitsos, Dimitris E Messinis

  • 1Dept of Mechanical Engineering, National Technical University of Athens, 15780 Zografou, Greece.

BMC Systems Biology
|July 7, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to link cell signaling pathways with cellular responses like cytokine secretion. The approach integrates intracellular signaling data with phenotypic behavior for better understanding of cell function.

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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Area of Science:

  • Systems Biology
  • Computational Biology
  • Cellular Signaling

Background:

  • Cellular signaling pathways are crucial for understanding cell function and behavior.
  • Optimized logical models of canonical pathways using phosphoproteomic data enable cell-type specific pathway construction.
  • The link between signaling pathways and cellular responses (e.g., growth, death, cytokine secretion) remains underexplored.

Purpose of the Study:

  • To develop a computational method for constructing 'extended pathways' that integrate intracellular signaling activity with cellular responses.
  • To link receptor-level signals through complex intracellular pathways to observable cellular behaviors.
  • To investigate signaling mechanisms driving cellular responses in normal and cancer hepatocytes.

Main Methods:

  • Measured signaling activity (phosphorylation levels) and phenotypic behavior (cytokine secretion) in hepatocytes treated with cytokines and inhibitors.
  • Developed a hybrid logical/data-driven computational approach to construct extended pathways.
  • Utilized Boolean logic for canonical pathway construction and data-driven methods for non-canonical edges linking signaling to behavior, optimized via Integer Linear Programming.

Main Results:

  • Successfully constructed extended pathway maps for normal and cancer hepatocytes, starting from 7 receptors.
  • The constructed pathways explained the secretion of 22 different cytokines.
  • Demonstrated the ability to link intracellular signaling dynamics to specific cellular phenotypes.

Conclusions:

  • A novel method for building extended pathways that connect receptor-level signaling to cellular behavior has been developed.
  • This approach successfully links complex intracellular signaling to diverse cellular responses, including cytokine secretion.
  • The findings serve as a proof-of-principle for constructing extended pathways applicable to various cellular responses like growth, death, differentiation, and gene expression.