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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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Single-cell Epigenomic Profiling with High-throughput Droplet scChIP-seq.

Justine Marsolier1,2, Eve Moutaux1,3, Kevin Grosselin4,5,6

  • 1CNRS UMR3244, Institut Curie, PSL University, Paris, France.

Methods in Molecular Biology (Clifton, N.J.)
|April 21, 2025
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Summary
This summary is machine-generated.

This study introduces a high-throughput single-cell ChIP-seq method to analyze epigenome variations. It reveals detailed epigenetic landscapes across thousands of cells, mapping key histone modifications.

Keywords:
ChromatinDNA barcodingDroplet microfluidicsEpigenome profilingHistone modifications

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Area of Science:

  • Genomics
  • Epigenetics
  • Molecular Biology

Background:

  • Understanding cellular heterogeneity is crucial in biology.
  • Epigenetic modifications play a key role in gene regulation and cellular identity.
  • Existing methods for epigenome analysis often lack single-cell resolution or throughput.

Purpose of the Study:

  • To develop and validate a high-throughput single-cell ChIP-seq (scChIP-seq) method.
  • To investigate the heterogeneity of key epigenetic marks (H3K27me3, H3K4me3, H3K27Ac, H3K4me1) within a large cellular population.
  • To provide a comprehensive epigenomic profile at single-cell resolution.

Main Methods:

  • Integration of droplet microfluidics for cell isolation and barcoding.
  • Development of a single-cell DNA barcoding strategy for epigenomic analysis.
  • Application of ChIP-seq to capture specific histone modifications at single-cell resolution.
  • High-throughput processing of several thousand cells.

Main Results:

  • Successful implementation of a high-throughput scChIP-seq workflow.
  • Detailed mapping of epigenome heterogeneity across thousands of cells.
  • Characterization of distinct patterns for H3K27me3, H3K4me3, H3K27Ac, and H3K4me1 at single-cell resolution.
  • Achieved coverage of up to 10,000 unique loci per cell.

Conclusions:

  • The developed scChIP-seq approach enables unprecedented resolution for studying epigenome heterogeneity.
  • This method provides a powerful tool for dissecting cell-to-cell variability in epigenetic states.
  • Findings contribute to a deeper understanding of epigenetic regulation in complex cellular populations.