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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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Integrative analysis of ChIP-chip and ChIP-seq dataset.

Lihua Julie Zhu1

  • 1Program in Gene Function and Expression, University of Massachusetts - Medical School, Worcester, MA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|August 27, 2013
PubMed
Summary

This study presents a workflow for analyzing ChIP-seq and ChIP-chip data to identify transcription factor (TF) targets. It integrates binding site annotation and gene expression data to map regulatory networks involved in development and disease.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Epigenetic regulation and transcription factor (TF) interactions are vital for controlling gene expression.
  • Chromatin immunoprecipitation sequencing (ChIP-seq) and ChIP-chip are key technologies for mapping these interactions genome-wide.
  • Identifying TF binding sites is crucial but insufficient for understanding regulatory networks.

Purpose of the Study:

  • To establish a common downstream analysis workflow for ChIP-seq and ChIP-chip data.
  • To enable annotation of TF binding sites and integration with gene expression data.
  • To facilitate the identification of direct and indirect TF targets and unravel transcriptional regulatory networks.

Main Methods:

  • Development of a standardized workflow for analyzing ChIP-seq and ChIP-chip datasets.
  • Utilizing binding site annotation techniques.
  • Integrating data with gene expression profiles from public repositories like GEO.

Main Results:

  • A comprehensive workflow for downstream analysis of ChIP-seq/ChIP-chip data is presented.
  • The workflow enables effective annotation of TF binding sites.
  • Integration with gene expression data allows for the identification of direct and indirect TF targets.

Conclusions:

  • The presented workflow aids in deciphering transcriptional regulatory networks.
  • It enhances the utility of ChIP-seq and ChIP-chip data for biological discovery.
  • This approach supports the unraveling of complex gene regulatory mechanisms in various biological contexts.