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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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Updated: May 8, 2026

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq data.

Haitham Ashoor¹, Aurélie Hérault, Aurélie Kamoun

¹Computer, Electrical and Mathematical Sciences and Engineering Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia, Institut Curie, 75248 Paris Cedex 05, France, INSERM, U900, Bioinformatics and Computational Systems Biology of Cancer, Mines ParisTech, Fontainebleau 77300, France and UMR 144 CNRS, Subcellular Structure and Cellular Dynamics.

Bioinformatics (Oxford, England)

|September 12, 2013

Summary

This summary is machine-generated.

Histone modifications in cancer (HMCan) is a new tool that accurately detects histone marks in cancer genomes. It corrects for copy number alterations, outperforming existing tools for reliable cancer epigenetics analysis.

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Area of Science:

Epigenetics
Genomics
Cancer Biology

Background:

Epigenetic alterations, including aberrant histone modifications, are hallmarks of cancer.
Epigenetic silencing is a key mechanism for suppressing tumor suppressor genes.
Existing ChIP-seq analysis tools struggle with cancer genomes due to copy number alterations.

Purpose of the Study:

To develop a specialized tool for analyzing histone modification ChIP-seq data in cancer genomes.
To address the challenges posed by copy number variations in cancer epigenomic profiling.

Main Methods:

HMCan corrects for GC-content and copy number bias.
Utilizes Hidden Markov Models for robust signal detection.
Validated on simulated and real cancer ChIP-seq data.

Main Results:

HMCan demonstrated superior performance compared to existing tools on simulated data.
Achieved accurate detection of H3K27me3 marks in a bladder cancer cell line.
Experimental validation (qPCR) confirmed HMCan's predictions, identifying previously missed marks.

Conclusions:

HMCan provides a reliable method for analyzing histone modifications in cancer.
The tool enhances the understanding of epigenetic dysregulation in cancer development.
HMCan facilitates accurate identification of epigenetic marks crucial for cancer research.