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Related Concept Videos

Chromatin Immunoprecipitation- ChIP02:36

Chromatin Immunoprecipitation- ChIP

12.7K
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...
12.7K

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ChIP-Seq Data Analysis to Define Transcriptional Regulatory Networks.

Giulio Pavesi1

  • 1Department of Biosciences, University of Milan, Via Celoria 26, 20133, Milan, Italy. giulio.pavesi@unimi.it.

Advances in Biochemical Engineering/Biotechnology
|January 11, 2017
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Summary

Understanding transcription factor (TF) networks requires mapping TF-gene relationships and regulatory effects. Chromatin Immunoprecipitation sequencing (ChIP-Seq) enables genome-wide TF binding site identification for inferring regulatory rules.

Keywords:
ChIP-SeqRNA-SeqTranscription factorsTranscription regulation

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Area of Science:

  • Genomics
  • Systems Biology
  • Bioinformatics

Background:

  • Defining transcriptional regulatory networks is crucial for understanding gene expression.
  • Identifying transcription factor (TF) binding sites and their regulatory effects (activation/repression) is a key challenge.

Purpose of the Study:

  • To survey methods for processing and integrating TF binding data.
  • To infer transcriptional regulatory rules and codes using multiple data types.

Main Methods:

  • Utilizing Chromatin Immunoprecipitation sequencing (ChIP-Seq) for genome-wide TF binding site identification.
  • Processing and integrating ChIP-Seq data with gene expression data.

Main Results:

  • Genome-wide identification of TF binding sites is achievable with ChIP-Seq.
  • Integration of diverse data types allows for the inference of regulatory relationships.

Conclusions:

  • ChIP-Seq is a powerful tool for mapping TF binding sites.
  • Data integration strategies are essential for deciphering complex transcriptional regulatory networks.