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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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Related Experiment Video

Updated: Mar 3, 2026

Mapping Genome-wide Accessible Chromatin in Primary Human T Lymphocytes by ATAC-Seq
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A pipeline for single-cell chromatin accessibility data analysis.

Mengke Zhang1,2, Changya Chen1,2

  • 1State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China.

Blood Science (Baltimore, Md.)
|March 2, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a streamlined pipeline for single-cell chromatin accessibility analysis, enhancing the understanding of gene regulatory mechanisms and cellular heterogeneity. The workflow integrates multiple tools for comprehensive epigenetic exploration.

Keywords:
Single-cell ATAC sequencing

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Area of Science:

  • Genomics
  • Epigenetics
  • Computational Biology

Background:

  • Single-cell chromatin accessibility analysis offers high-resolution insights into regulatory elements and gene regulation.
  • Standardized and comprehensive analysis workflows for scATAC-seq data are currently limited.

Purpose of the Study:

  • To present a streamlined and integrated pipeline for analyzing single-cell chromatin accessibility data.
  • To enable robust exploration of epigenetic mechanisms and cellular heterogeneity.

Main Methods:

  • Data preprocessing using scATAC-pro or Cell Ranger ATAC.
  • Peak calling with MACS2 and differential accessibility analysis.
  • Transcription factor activity inference with chromVAR, motif enrichment, and footprinting analysis.
  • Reconstruction of transcriptional regulatory networks using SCENIC+.

Main Results:

  • The pipeline effectively processes scATAC-seq data from preprocessing to network reconstruction.
  • It facilitates the detection of open chromatin regions and differential accessibility between cell populations.
  • The approach allows for in-depth exploration of epigenetic mechanisms at the single-cell level.

Conclusions:

  • This integrative workflow provides a robust framework for analyzing single-cell chromatin accessibility data.
  • It aids in decoding the regulatory landscape and understanding cellular heterogeneity in complex biological systems.