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Related Concept Videos

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
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...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
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,...

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Related Experiment Video

Updated: Jul 4, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

Mapping of signaling pathways by functional interaction proteomics.

Alex von Kriegsheim1, Christian Preisinger, Walter Kolch

  • 1Cancer Research Beatson Laboratories, Glasgow, UK.

Methods in Molecular Biology (Clifton, N.J.)
|July 2, 2008
PubMed
Summary

Analyzing protein interactions in signaling pathways is crucial for understanding cancer. This study uses mass spectrometry-based proteomics to map these interactions, revealing key players in kinase cascades like MAPK.

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

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Last Updated: Jul 4, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

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

Area of Science:

  • Molecular Biology
  • Proteomics
  • Cancer Research

Background:

  • Signaling pathways transmit external signals to the nucleus, regulating cell functions.
  • Aberrant signaling, particularly kinase cascade overstimulation, is common in many cancers.
  • Protein-protein interactions, modulated by phosphorylation, are central to signal transduction.

Purpose of the Study:

  • To investigate molecular mechanisms of carcinogenesis by analyzing changes in protein interactions within signaling pathways.
  • To demonstrate functional proteomic analysis of interactomes for two key mitogen-activated protein kinase (MAPK) cascade members.

Main Methods:

  • Utilized mass spectrometry-based proteomics to identify protein interaction networks.
  • Analyzed extracellular signal-regulated kinase (ERK) interactome changes upon growth factor stimulation.
  • Performed differential analysis of binding partners for Grb2 and GRAP adaptor proteins' C-terminal SH3 domains.

Main Results:

  • Mass spectrometry identified extensive protein interaction networks but can yield false positives.
  • Functional analysis by mapping interactome changes provides insights into protein roles.
  • Differential analysis of ERK, Grb2, and GRAP interactomes revealed specific interaction patterns.

Conclusions:

  • Functional proteomic analysis, including differential interactome mapping, is essential for understanding signaling pathways in cancer.
  • Studying interactome dynamics in response to stimuli enhances comprehension of molecular carcinogenesis.
  • This methodology aids in deciphering the roles of specific proteins within complex signaling networks.