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-protein Interfaces02:04

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 polypeptide...

You might also read

Related Articles

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

Sort by
Same author

Granulated bovine oocytes represent a lipid rich phenotype with enhanced developmental competence.

Animal reproduction science·2026
Same author

Effects of expressing a maleness gene in Anopheles gambiae cells using baculovirus as a gene delivery tool.

Parasites & vectors·2026
Same author

Histone acetylation-dependent clustering of BRD2 instructs transcription dynamics.

Nature genetics·2026
Same author

Crosstalk between and developmental dynamics of Caenorhabditis elegans Argonaute proteins.

Genetics·2026
Same author

Inhibition of p300/CREBBP catalytic activity drives context-dependent transcriptional activation in AML.

Blood·2026
Same author

Quantitative proteomics of infected macrophages reveals novel Leishmania virulence factors.

PLoS pathogens·2026

Related Experiment Video

Updated: Jun 27, 2026

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

A SILAC-based DNA protein interaction screen that identifies candidate binding proteins to functional DNA elements.

Gerhard Mittler1, Falk Butter, Matthias Mann

  • 1Center for Experimental Bioinformatics, University of Southern Denmark, DK-5230 Odense M, Denmark.

Genome Research
|November 19, 2008
PubMed
Summary

This study introduces a new method using Stable Isotope Labeling by Amino acids in Cell culture (SILAC) to identify DNA-binding proteins, specifically transcription factors (TFs), that interact with DNA sequences. This technique enhances understanding of gene regulation by precisely detecting protein-DNA interactions.

More Related Videos

Genome-wide Mapping of Drug-DNA Interactions in Cells with COSMIC (Crosslinking of Small Molecules to Isolate Chromatin)
10:05

Genome-wide Mapping of Drug-DNA Interactions in Cells with COSMIC (Crosslinking of Small Molecules to Isolate Chromatin)

Published on: January 20, 2016

A Quantitative Assay to Study Protein:DNA Interactions, Discover Transcriptional Regulators of Gene Expression, and Identify Novel Anti-tumor Agents
06:43

A Quantitative Assay to Study Protein:DNA Interactions, Discover Transcriptional Regulators of Gene Expression, and Identify Novel Anti-tumor Agents

Published on: August 31, 2013

Related Experiment Videos

Last Updated: Jun 27, 2026

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

Genome-wide Mapping of Drug-DNA Interactions in Cells with COSMIC (Crosslinking of Small Molecules to Isolate Chromatin)
10:05

Genome-wide Mapping of Drug-DNA Interactions in Cells with COSMIC (Crosslinking of Small Molecules to Isolate Chromatin)

Published on: January 20, 2016

A Quantitative Assay to Study Protein:DNA Interactions, Discover Transcriptional Regulators of Gene Expression, and Identify Novel Anti-tumor Agents
06:43

A Quantitative Assay to Study Protein:DNA Interactions, Discover Transcriptional Regulators of Gene Expression, and Identify Novel Anti-tumor Agents

Published on: August 31, 2013

Area of Science:

  • Molecular Biology
  • Genomics
  • Proteomics

Background:

  • Gene expression networks in eukaryotes are complex and crucial for biological function.
  • Transcription factors (TFs) and CpG methylation are key regulators of gene transcription.
  • Stable Isotope Labeling by Amino acids in Cell culture (SILAC) is established for proteome comparison and protein-protein interaction studies.

Purpose of the Study:

  • To develop a generic, scalable, and sensitive strategy for uncovering DNA-protein interactions.
  • To identify transcription factors that bind to specific DNA sequences, including methylated regions.
  • To advance the high-throughput determination of transcription factor binding profiles.

Main Methods:

  • A novel SILAC-based strategy employing one-step affinity capture of TFs from nuclear extracts.
  • Utilizing mass spectrometry to determine peptide isotope ratios for distinguishing specific TF binding.
  • Employing mutated or nonmethylated control oligonucleotides to differentiate specific from non-specific protein binding.

Main Results:

  • Identification of several previously unreported proteins binding to the methylated CpG island upstream of the human metastasis associated 1 family, member 2 gene promoter.
  • Demonstration of the approach's robustness, sensitivity, and specificity in detecting TF-DNA interactions.
  • Successful application of SILAC for quantitative analysis of DNA-binding proteins.

Conclusions:

  • The developed SILAC-based method provides a powerful tool for mapping DNA-protein interactions.
  • This approach facilitates a deeper understanding of gene regulatory mechanisms, particularly in the context of DNA methylation.
  • The strategy holds significant potential for high-throughput screening of transcription factor binding profiles in various biological contexts.