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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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Probabilistic Critical Controllability Analysis of Protein Interaction Networks Integrating Normal Brain Ageing Gene

Eimi Yamaguchi1, Tatsuya Akutsu2, Jose C Nacher1

  • 1Department of Information Science, Faculty of Science, Toho University, Funabashi 274-8510, Japan.

International Journal of Molecular Sciences
|September 28, 2021
PubMed
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This study reveals critical proteins linked to brain aging by analyzing gene expression across lifespans. These findings identify potential new aging gene candidates, particularly in male hippocampal samples.

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ageing processbraincritical controllabilitygene expressionprobabilistic controllabilityprotein networks

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Area of Science:

  • Neuroscience
  • Systems Biology
  • Genetics

Background:

  • Network controllability offers frameworks for managing complex biological systems.
  • Age-related brain changes lack investigation from a network controllability viewpoint.

Purpose of the Study:

  • To explore age-related brain changes using network controllability.
  • To identify critical proteins associated with brain aging across the human lifespan.

Main Methods:

  • Compiled gene expression profiles from four brain regions (ages 20-99).
  • Generated dynamic probabilistic protein networks.
  • Developed an algorithm for identifying critical proteins using a minimum dominating set controllability model.

Main Results:

  • Identified critical proteins significantly enriched with known aging genes (GenAge database).
  • Observed enrichment in senescence processes, especially in male hippocampal samples.
  • Discovered potential novel aging gene candidates.

Conclusions:

  • Network controllability provides insights into brain aging mechanisms.
  • Critical proteins in aging brain networks are linked to known aging genes.
  • Specific findings in male hippocampus suggest new aging gene candidates.