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Related Concept Videos

Protein Networks02:26

Protein Networks

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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,...
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Cancer-Critical Genes I: Proto-oncogenes01:33

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Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
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Interactions Between Signaling Pathways01:19

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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
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mTOR Signaling and Cancer Progression03:03

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The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
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Mapping Dysfunctional Protein-Protein Interactions in Disease
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How do oncoprotein mutations rewire protein-protein interaction networks?

Emily H Bowler1, Zhenghe Wang2, Rob M Ewing1

  • 1a 1 Centre for Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK.

Expert Review of Proteomics
|September 2, 2015
PubMed
Summary

Cancer mutations alter protein interactions, driving tumor development. This study maps how these changes impact protein networks, revealing new insights into cancer progression and potential therapeutic targets.

Keywords:
cancermutationoncoproteinprotein–protein interactionsignaling network

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Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Cancer is characterized by mutations activating oncogenes or inactivating tumor suppressors.
  • These mutations alter protein structure and function, impacting signaling pathways and cellular organization.
  • While effects on signaling are known, the impact of mutations on protein-protein interaction networks is less understood.

Purpose of the Study:

  • To investigate how cancer-associated mutations perturb protein-protein interaction networks.
  • To systematically map oncoprotein interactions and their alterations in cancer.
  • To understand the role of network perturbations in driving the cancer phenotype.

Main Methods:

  • Utilizing proteomics techniques for systematic mapping of oncoprotein interactions.
  • Employing computational network analyses to study protein interaction alterations.
  • Integrating experimental and computational approaches to analyze mutation effects.

Main Results:

  • Oncoprotein mutations were found to significantly perturb protein-protein interaction networks.
  • Specific alterations in interaction networks correlate with cancer progression.
  • Proteomics and network analyses provide a detailed view of mutation-driven network changes.

Conclusions:

  • Understanding how mutations alter protein interaction networks is crucial for cancer research.
  • These network perturbations are key drivers of the cancer phenotype.
  • This approach offers potential for identifying novel therapeutic strategies targeting cancer networks.