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Protein Networks

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,...

Proteomics

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...

Protein-protein Interfaces

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...

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Related Experiment Video

Updated: Mar 12, 2026

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

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Published on: November 17, 2019

Proteome-scale Binary Interactomics in Human Cells.

Sam Lievens^1,2, José Van der Heyden^1,2, Delphine Masschaele^1,2

¹From the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.

Molecular & Cellular Proteomics : MCP

|November 3, 2016

Summary

This summary is machine-generated.

This study introduces Mammalian Protein-Protein Interaction Trap (MAPPIT) and Mammalian Small Molecule-Protein Interaction Trap (MASPIT) assays for high-throughput screening of protein interactions and drug targets. The methods enable discovery of novel interactions and drug targets in living cells.

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Area of Science:

Biochemistry and Molecular Biology
Cell Biology
Drug Discovery and Development

Background:

Proteins mediate cellular processes and are key therapeutic targets.
Understanding protein-protein and drug-protein interactions is crucial for elucidating mechanisms of action.
Sensitive methods are needed for mapping biomolecular interactions at a large scale.

Purpose of the Study:

To present a robust and sensitive approach for screening proteome-scale protein collections for binding to other proteins or small molecules.
To demonstrate the versatility of the Mammalian Protein-Protein Interaction Trap (MAPPIT) and Mammalian Small Molecule-Protein Interaction Trap (MASPIT) assays.
To highlight the utility of these screening technologies in fundamental biology and drug discovery.

Main Methods:

Utilized high-density reverse transfected cell microarrays for high-throughput screening.
Employed MAPPIT and MASPIT assays to screen a large collection of human open reading frame (ORF) clones.
Conducted screens using RNF41, glucocorticoid receptor (GR) in different states, tamoxifen, and reversine.

Main Results:

Identified known and novel binding partners for RNF41 using MAPPIT.
Discovered proteins whose interaction with the GR is modulated by ligand binding.
Successfully identified known and new potential drug targets for tamoxifen and reversine using MASPIT.

Conclusions:

The MAPPIT and MASPIT assays provide a versatile, robust, and sensitive platform for proteome-wide interaction screening.
The technology is effective in living human cells, enabling the study of dynamic interactions.
This approach significantly aids in identifying protein interactors and small molecule targets, advancing both fundamental research and drug discovery.