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Related Concept Videos

Chromatin Immunoprecipitation- ChIP02:36

Chromatin Immunoprecipitation- ChIP

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: May 19, 2026

Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis
10:05

Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis

Published on: December 12, 2017

ChIPnorm: a statistical method for normalizing and identifying differential regions in histone modification ChIP-seq

Nishanth Ulhas Nair1, Avinash Das Sahu, Philipp Bucher

  • 1Laboratory for Computational Biology and Bioinformatics, School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Plos One
|August 8, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces ChIPnorm, a novel statistical method to normalize ChIP-seq data and identify differential histone modifications between cell types. ChIPnorm effectively reduces noise, improving the analysis of gene regulation and epigenetic differences.

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A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies
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A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies
08:04

A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies

Published on: August 13, 2020

Area of Science:

  • Genomics
  • Epigenetics
  • Computational Biology

Background:

  • High-throughput sequencing, specifically ChIP-seq, enables the study of histone modifications.
  • Identifying cell-type-specific histone modification patterns is crucial but challenging due to data noise.

Purpose of the Study:

  • To develop a robust statistical method for normalizing ChIP-seq data.
  • To identify differential histone modification regions between cell types.
  • To correlate histone marks with gene expression for understanding gene regulation.

Main Methods:

  • A two-stage statistical normalization method, ChIPnorm, was developed.
  • ChIP-seq data from different cell types were analyzed.
  • Histone modification data were correlated with gene expression data.

Main Results:

  • ChIPnorm effectively removes noise and bias, outperforming existing normalization methods.
  • Histone modifications H3K27me3 and H3K4me3 were confirmed as repressor and activator marks, respectively.
  • A higher fraction of bivalent marks in ES cells shift to a K27-only state, and most protein-coding gene promoters show differential histone modifications.

Conclusions:

  • ChIPnorm provides a reliable approach for analyzing cell-type-specific histone modifications.
  • The findings offer new insights into epigenetic regulation and gene expression.
  • The study highlights the widespread differential histone modification patterns in gene promoters.