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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
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The histone proteins in the nucleosomes are post-translationally modified (PTM) to increase or decrease access to DNA. The commonly observed PTMs are methylation, acetylation, phosphorylation, and ubiquitination of lysine amino acids in the histone H3 tail region. These histone modifications have specific meaning for the cell. Hence, they are called "histone code". The protein complex involved in histone modification is termed as "reader-writer" complex.
Writers
The writer...
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Related Experiment Video

Updated: Oct 14, 2025

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
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Single-cell chromatin state analysis with Signac.

Tim Stuart1,2, Avi Srivastava3,4, Shaista Madad3,4

  • 1New York Genome Center, New York City, NY, USA. tstuart@nygenome.org.

Nature Methods
|November 2, 2021
PubMed
Summary
This summary is machine-generated.

New computational tools are needed for single-cell chromatin data. Signac offers a comprehensive toolkit for end-to-end analysis, integrating diverse multimodal single-cell data and scaling to large datasets.

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Area of Science:

  • Genomics
  • Computational Biology
  • Bioinformatics

Background:

  • Advancements in single-cell experimental techniques necessitate robust computational tools.
  • Analyzing chromatin accessibility at single-cell resolution presents unique analytical challenges.

Purpose of the Study:

  • To develop Signac, a comprehensive computational toolkit for the analysis of single-cell chromatin data.
  • To provide an end-to-end solution for diverse multimodal single-cell chromatin datasets.

Main Methods:

  • Developed Signac, a toolkit compatible with the Seurat package.
  • Implemented functionalities for peak calling, quantification, quality control, dimension reduction, clustering, and DNA motif analysis.
  • Enabled integration with single-cell gene expression, protein abundance, and mitochondrial genotype data.

Main Results:

  • Signac provides a complete workflow for single-cell chromatin data analysis.
  • The toolkit supports the integration of multimodal single-cell datasets.
  • Demonstrated scalability of Signac to analyze datasets exceeding 700,000 cells.

Conclusions:

  • Signac is a versatile and scalable toolkit for single-cell chromatin data analysis.
  • Facilitates the comprehensive analysis of multimodal single-cell datasets.
  • Addresses the growing need for computational tools in single-cell epigenomics.