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Related Experiment Video

Updated: May 31, 2026

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq)
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Decoding the genome with an integrative analysis tool: combinatorial CRM Decoder.

Keunsoo Kang1, Joomyeong Kim, Jae Hoon Chung

  • 1Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.

Nucleic Acids Research
|July 5, 2011
PubMed
Summary
This summary is machine-generated.

A new tool, combinatorial CRM decoder (CCD), identifies genome-wide cis-regulatory modules (CRMs) and their epigenetic features. This method aids in understanding gene regulatory networks by cataloging thousands of CRMs, including multi-functional ones.

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Area of Science:

  • Genomics
  • Epigenetics
  • Bioinformatics

Background:

  • Understanding gene regulatory networks requires identifying genome-wide cis-regulatory modules (CRMs) and their epigenetic features.
  • Current integrative analysis methods are limited by a lack of novel methodologies.

Purpose of the Study:

  • To develop a comprehensive analysis tool, combinatorial CRM decoder (CCD), for identifying and characterizing genome-wide CRMs.
  • To utilize publicly available genome-wide data for CRM discovery.

Main Methods:

  • CCD defines a 'trace code' of epigenetic features associated with known CRMs.
  • This trace code is then used to identify putative CRMs across the genome.
  • The tool was validated using 61 datasets from 17 mouse studies.

Main Results:

  • CCD catalogued approximately 12,600 CRMs across five distinct classes.
  • Identified CRMs include polycomb repressive complex 2 target sites and imprinting control regions.
  • Approximately 4% of CRMs were multi-functional, indicating roles in spatiotemporal gene regulation.

Conclusions:

  • CCD is a versatile tool applicable to various genome-wide datasets for CRM discovery.
  • The tool facilitates the unveiling of genome-wide CRMs across different species.
  • The identification of multi-functional CRMs highlights their significance in gene expression regulation.