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Related Concept Videos

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...
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,...

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Related Experiment Video

Updated: May 13, 2026

High-Resolution Complexome Profiling by Cryoslicing BN-MS Analysis
09:33

High-Resolution Complexome Profiling by Cryoslicing BN-MS Analysis

Published on: October 15, 2019

Protein complex-based analysis framework for high-throughput data sets.

Arunachalam Vinayagam1, Yanhui Hu, Meghana Kulkarni

  • 1Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA. vinu@genetics.med.harvard.edu

Science Signaling
|February 28, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a protein complex analysis framework for high-throughput data, overcoming Gene Ontology limitations. The COMPLEAT tool identifies dynamic protein complexes, predicting the Brahma complex

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Last Updated: May 13, 2026

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Published on: October 15, 2019

Protein Complex Affinity Capture from Cryomilled Mammalian Cells
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Dissecting Multi-protein Signaling Complexes by Bimolecular Complementation Affinity Purification (BiCAP)
06:45

Dissecting Multi-protein Signaling Complexes by Bimolecular Complementation Affinity Purification (BiCAP)

Published on: June 15, 2018

Area of Science:

  • Systems Biology
  • Proteomics
  • Bioinformatics

Background:

  • Gene Ontology (GO) pathway analysis has limitations for dynamic biological network studies.
  • Analyzing network modules, not just complete pathways, is crucial for understanding responses to stimuli.
  • Protein complexes are central to network reorganization and dynamic changes.

Purpose of the Study:

  • To develop a novel analysis framework centered on protein complexes for high-throughput data.
  • To create a comprehensive protein complex resource for multiple species.
  • To provide a tool (COMPLEAT) for complex-based data mining and integration.

Main Methods:

  • Generated a protein complex resource from literature and protein-protein interaction databases for human, Drosophila, and yeast.
  • Developed the COMPLEAT software tool for complex-based analysis and visualization.
  • Applied the framework to genome-wide RNA interference data, using phosphorylated extracellular signal-regulated kinase levels as output.

Main Results:

  • Created thousands of protein complexes for three species.
  • Identified dynamically regulated protein complexes in response to insulin and epidermal growth factor.
  • The COMPLEAT tool enabled the analysis and integration of heterogeneous proteomics and gene expression data.

Conclusions:

  • Protein complex-based analysis offers advantages over traditional pathway analysis for dynamic biological systems.
  • The COMPLEAT framework facilitates the identification of key protein complexes involved in cellular responses.
  • Predicted the involvement of the Brahma complex in the insulin response pathway.