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Chromatin Immunoprecipitation- ChIP

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...

Combinatorial Gene Control

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...

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Related Experiment Video

Updated: Jun 1, 2026

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing (ChIP-seq)

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing (ChIP-seq)

Published on: April 19, 2013

Inferring transcription factor complexes from ChIP-seq data.

Tom Whitington¹, Martin C Frith, James Johnson

¹Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.

Nucleic Acids Research

|May 24, 2011

Summary

This summary is machine-generated.

Researchers can now infer transcription factor (TF) interactions using the new Spaced Motif Analysis (SpaMo) algorithm. This method analyzes ChIP-seq data to reveal how TFs bind to DNA, improving our understanding of gene regulation.

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The ChIP-exo Method: Identifying Protein-DNA Interactions with Near Base Pair Precision

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Last Updated: Jun 1, 2026

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing (ChIP-seq)

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing (ChIP-seq)

Published on: April 19, 2013

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis

Published on: April 16, 2018

The ChIP-exo Method: Identifying Protein-DNA Interactions with Near Base Pair Precision

The ChIP-exo Method: Identifying Protein-DNA Interactions with Near Base Pair Precision

Published on: December 23, 2016

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) is crucial for mapping transcription factor (TF) binding sites genome-wide.
Understanding TF binding mechanisms, including physical interactions, is key to deciphering gene regulation.
Physical interactions between TFs at DNA influence tissue-specific gene expression.

Purpose of the Study:

To develop a novel algorithm for inferring physical interactions between TFs at neighboring DNA sites.
To leverage high-resolution motif spacing information from ChIP-seq data.
To enhance the analysis of TF binding mechanisms.

Main Methods:

Developed Spaced Motif Analysis (SpaMo) algorithm.
Applied SpaMo to analyze ChIP-seq datasets to predict TF interactions.
Validated predictions using literature data and evidence of homodimerization.

Main Results:

SpaMo successfully predicted TF interactions in 50% of tested ChIP-seq datasets.
A majority of these predictions were supported by existing literature or homodimerization evidence.
The method provides high-resolution motif spacing information.

Conclusions:

SpaMo effectively infers physical interactions between TFs bound at neighboring DNA sites.
The algorithm enhances the extraction of binding mechanism information from TF ChIP-seq data.
SpaMo is available as part of the MEME Suite for broader research application.