Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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,...
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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

On the Scope of DCAF1-Recruiting PROTACs Degrading Protein Kinases.

Journal of medicinal chemistry·2026
Same author

Midline Palatal Ectopic Tooth: A Case Report.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same author

AI-assisted teams outperform AI-led teams but not human-only teams in assessing research reproducibility in quantitative social science.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Glucocorticoid-Induced Proteome and Phosphoproteome Changes in Breast Cancer Cell Lines.

Journal of proteome research·2026
Same author

Quantitative proteomics and phosphoproteomics reveal glucocorticoid stimulation of TLR and Rho GTPase signaling in neutrophil-like cells.

Genome biology·2026
Same author

The Japanese Archipelago sheltered cave lions, not tigers, during the Late Pleistocene.

Proceedings of the National Academy of Sciences of the United States of America·2026

Related Experiment Video

Updated: Jun 20, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Proteomics strategy for quantitative protein interaction profiling in cell extracts.

Kirti Sharma1, Christoph Weber, Michaela Bairlein

  • 1Cell Signaling Group, Department of Molecular Biology, Max Planck Institute of Biochemistry, Martinsried, Germany.

Nature Methods
|September 15, 2009
PubMed
Summary

This study introduces a proteomics method to identify and quantify protein interactions with ligands. It measures how strongly proteins bind to ligands, useful for drug discovery and understanding biological processes.

More Related Videos

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
12:53

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics

Published on: July 6, 2014

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
11:19

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

Published on: November 17, 2019

Related Experiment Videos

Last Updated: Jun 20, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
12:53

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics

Published on: July 6, 2014

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
11:19

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

Published on: November 17, 2019

Area of Science:

  • Proteomics
  • Biochemistry
  • Molecular Biology

Background:

  • Understanding protein-ligand interactions is crucial for drug development and biological research.
  • Existing methods may lack the precision to quantify binding affinities effectively.

Purpose of the Study:

  • To develop and validate a quantitative proteomics strategy for identifying and measuring cellular target protein interactions with externally introduced ligands.
  • To determine dissociation constants (Kd) for protein-ligand complexes.

Main Methods:

  • Quantitative mass spectrometry was combined with affinity purification experiments.
  • The method was applied using small-molecule kinase inhibitors, a tyrosine-phosphorylated peptide, and an antibody as affinity ligands.

Main Results:

  • The proteomics strategy successfully identified and quantified target proteins interacting with various ligands.
  • Accurate dissociation constants were determined for specific protein-ligand pairs.
  • The methodology proved versatile across different types of ligands.

Conclusions:

  • This quantitative proteomics approach provides a robust framework for studying protein-ligand interactions.
  • The method is broadly applicable for characterizing molecular interactions in biological systems.
  • It offers valuable insights for drug discovery and chemical biology research.