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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.
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Protein-protein Interfaces02:04

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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...
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Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
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Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
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Illuminating the dark protein-protein interactome.

Mehdi Sharifi Tabar1,2, Chirag Parsania1,2, Hong Chen3

  • 1Gene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW 2050, Australia.

Cell Reports Methods
|September 1, 2022
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Summary

Scientists are exploring the "dark interactome," the vast uncharted territory of human protein-protein interactions (PPIs). New methods are proposed to map these elusive interactions in a cell-type-specific manner.

Keywords:
AP-MSBioIDY2Hinteractomemass spectrometryprotein-protein interaction

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Area of Science:

  • Biochemistry
  • Systems Biology
  • Genomics

Background:

  • Protein-protein interactions (PPIs) are fundamental to biological processes.
  • Current methods like yeast two-hybrid (Y2H) and affinity purification coupled to mass spectrometry (AP-MS) have limitations in comprehensively mapping the human interactome.
  • A significant portion of the human interactome remains uncharacterized, termed the 'dark interactome'.

Purpose of the Study:

  • To review the complexity of the human interactome and the limitations of existing mapping techniques.
  • To discuss reasons for the large uncharted 'dark interactome'.
  • To propose novel experimental models and frameworks for identifying and characterizing the dark interactome in a cell-type-specific manner.

Main Methods:

  • Review of existing literature on human interactome mapping techniques (Y2H, AP-MS).
  • Analysis of challenges in documenting protein-protein interactions.
  • Proposal of a new experimental model for cell-type-specific interactome identification.
  • Framework development for rigorous characterization of protein interactions.

Main Results:

  • The human interactome is complex, with a substantial fraction remaining unmapped due to limitations of current technologies.
  • Existing systematic efforts have not yielded a 'gold standard' for PPI documentation.
  • A novel experimental model is proposed to address the identification of the dark interactome.

Conclusions:

  • Significant challenges persist in fully mapping the human interactome, with a large 'dark interactome' requiring new approaches.
  • The proposed experimental model and framework offer a path towards cell-type-specific identification and rigorous characterization of previously unmapped protein interactions.
  • Further research is needed to validate and implement these new strategies for a more complete understanding of cellular function.