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Related Concept Videos

Chromatin Immunoprecipitation- ChIP02:36

Chromatin Immunoprecipitation- ChIP

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Chromatin immunoprecipitation, or ChIP, is an antibody-based technique used to identify sites on DNA that bind to transcription factors of interest or histone proteins. It also helps determine the type of histone modifications such as acetylation, phosphorylation, or methylation.
Types of ChIP
ChIP can be divided into two types - X-ChIP and N-ChIP. X-ChIP involves in vivo cross-linking of histones and regulatory proteins to DNA, fragmenting the DNA by sonication, and isolating the protein-DNA...
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Updated: Aug 5, 2025

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C
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Determining chromatin architecture with Micro Capture-C.

Joseph C Hamley1, Hangpeng Li1, Nicholas Denny1

  • 1MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.

Nature Protocols
|March 29, 2023
PubMed
Summary
This summary is machine-generated.

Micro Capture-C (MCC) is a high-resolution chromatin conformation capture method. It visualizes genome 3D contacts, revealing regulatory elements like transcription factor binding sites.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Epigenetics

Background:

  • Chromatin conformation capture (3C) methods assay genome topology using proximity ligation.
  • Existing 3C techniques have limitations in resolution and scope.
  • Visualizing fine-scale chromatin interactions is crucial for understanding gene regulation.

Purpose of the Study:

  • To introduce Micro Capture-C (MCC) as an advanced 3C method.
  • To demonstrate MCC's capability for high-resolution genome contact mapping.
  • To highlight MCC's utility in studying regulatory elements.

Main Methods:

  • MCC refines 3C techniques for enhanced resolution.
  • Utilizes a sequence-agnostic nuclease and full sequencing of ligation junctions.
  • Maintains cellular integrity throughout the process.

Main Results:

  • Achieves subnucleosomal resolution, surpassing previous 3C methods.
  • Successfully visualizes challenging loci such as gene-dense regions and super-enhancers.
  • Identifies transcription factor binding sites with DNAse I footprinting-like resolution.

Conclusions:

  • MCC provides unprecedented resolution for mapping 3D genome architecture.
  • Enables detailed analysis of regulatory element interactions.
  • Offers a powerful tool for genomic research, requiring molecular biology and bioinformatics expertise.