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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...

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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ABC: a tool to identify SNVs causing allele-specific transcription factor binding from ChIP-Seq experiments.

Swneke D Bailey¹, Carl Virtanen², Benjamin Haibe-Kains¹

¹Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada, Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada and Ontario Institute for Cancer Research, Toronto, ON, Canada Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada, Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada and Ontario Institute for Cancer Research, Toronto, ON, Canada.

Bioinformatics (Oxford, England)

|May 22, 2015

Summary

This summary is machine-generated.

A new computational tool, ABC, identifies allele-specific transcription factor binding at single nucleotide variants (SNVs) using ChIP-Seq data. It accurately detects functional SNVs, controlling for sequencing biases and enabling large-scale analysis.

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Last Updated: Apr 12, 2026

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Area of Science:

Genomics
Computational Biology
Molecular Biology

Background:

Allelic imbalances in ChIP-Seq reads can reveal functional single nucleotide variants (SNVs) impacting transcription factor binding.
Identifying these SNVs is crucial for understanding gene regulation and disease mechanisms.

Purpose of the Study:

To present ABC, a computational tool for detecting allele-specific transcription factor binding at heterozygous SNVs from ChIP-Seq data.
To provide a method that controls for biases inherent in short sequencing reads and efficiently processes numerous SNVs.

Main Methods:

ABC analyzes aligned ChIP-Seq reads at heterozygous SNVs to identify allele-specific transcription factor binding.
The tool is implemented in PERL and requires PERL and R environments.
It is designed to mitigate false positives arising from sequencing read length biases.

Main Results:

ABC successfully identified known functional SNVs, including rs4784227, a breast cancer risk SNP affecting FOXA1 binding.
The tool demonstrates efficacy in detecting previously characterized functional SNVs.

Conclusions:

ABC is an effective computational tool for identifying functional SNVs by detecting allele-specific transcription factor binding.
The tool offers a robust method for analyzing ChIP-Seq data to uncover regulatory variants.