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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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Duplication of Chromatin Structure02:05

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The process of chromosome duplication during cell division requires genome-wide disruption and re-assembly of chromatin. The chromatin structure must be accurately inherited, reassembled, and maintained in the daughter cells to ensure lineage propagation.
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Spreading of Chromatin Modifications02:25

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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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Chromatin Position Affects Gene Expression02:35

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Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
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Histone Modification02:32

Histone Modification

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The histone proteins have a flexible N-terminal tail extending out from the nucleosome. These histone tails are often subjected to post-translational modifications such as acetylation, methylation, phosphorylation, and ubiquitination. Particular combinations of these modifications form “histone codes” that influence the chromatin folding and tissue-specific gene expression.
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Chromatin modification alters gene expression; therefore, scientists can add histone-modifying enzymes, histone variants, and chromatin remodeling complexes to somatic cells to aid reprogramming into pluripotent stem (iPS) cells.
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Updated: Aug 26, 2025

Chromatin Extraction from Frozen Chimeric Liver Tissue for Chromatin Immunoprecipitation Analysis
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Computational methods to explore chromatin state dynamics.

Elias Orouji1,2, Ayush T Raman3,4

  • 1Epigenomics Lab, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.

Briefings in Bioinformatics
|October 8, 2022
PubMed
Summary
This summary is machine-generated.

This review explores computational tools for analyzing changes in chromatin states (CS) across different cell conditions. It focuses on understanding how these dynamic genomic patterns relate to cellular function and disease.

Keywords:
chromatinchromatin stateepigenomicshistone modification

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Area of Science:

  • Genomics
  • Epigenetics
  • Computational Biology

Background:

  • Histone modifications and chromatin accessibility define genome organization and function.
  • Epigenomic datasets map these marks, histone variants, and open chromatin regions.
  • Statistical models annotate DNA and infer combinatorial chromatin states (CS).

Approach:

  • This review surveys computational tools designed to analyze CS alterations.
  • The focus is on tools that compare CS across two or more distinct cellular conditions.
  • Methods capture dynamic changes in genomic function and activity.

Key Points:

  • Histone modifications and chromatin accessibility map genome-wide epigenomic features.
  • Chromatin states (CS) provide insights into genomic function, including gene bodies, promoters, and enhancers.
  • CS are dynamic and vary between normal, preneoplastic, and tumor cells.

Conclusions:

  • Computational tools are crucial for analyzing dynamic chromatin state changes.
  • Understanding CS alterations aids in deciphering genomic function in various cellular contexts.
  • This review highlights methods for capturing CS variations across different cell conditions.