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Related Concept Videos

Karyotyping01:17

Karyotyping

Describing the number and physical features of chromosomes can reveal abnormalities that underlie genetic diseases. This description is facilitated by special staining techniques that produce a particular banding pattern on each chromosome. State-of-the-art techniques make this approach even more powerful, enabling the detection of individual genes that cause disease.A Simple Chromosome Staining Technique Provides Valuable Scientific InsightSome genetic diseases can be detected by looking at...

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Related Experiment Video

Updated: Jun 26, 2026

Capturing Chromosome Conformation Across Length Scales
10:15

Capturing Chromosome Conformation Across Length Scales

Published on: January 20, 2023

A rapid simple approach to quantify chromosome conformation capture.

M Abou El Hassan1, R Bremner

  • 1Genetics and Development Division, University Health Network, Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada M5T 2S8.

Nucleic Acids Research
|February 3, 2009
PubMed
Summary

Quantitative melting curve analysis (qMCA) offers a rapid, inexpensive, and reproducible method for assessing DNA looping in vivo. This approach enhances chromosome conformation capture (3C) experiments by accurately quantifying unique ligation products (ULPs).

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Last Updated: Jun 26, 2026

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Published on: January 20, 2023

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Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C
09:32

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Published on: October 14, 2022

Area of Science:

  • Molecular Biology
  • Genetics
  • Epigenetics

Background:

  • Chromosome conformation capture (3C) is vital for studying DNA looping, generating unique ligation products (ULPs).
  • Traditional ULP quantification methods like gel electrophoresis are inefficient, and alternatives like Taqman probes are costly.
  • SYBR Green-based quantitative PCR (qPCR) for 3C is hindered by non-specific products and background fluorescence.

Purpose of the Study:

  • To introduce and validate SYBR Green melting curve analysis (MCA) as a quantitative tool (qMCA) for 3C experiments.
  • To assess chromatin looping in vivo using qMCA, focusing on interferon-gamma (IFNγ) responsive loci.

Main Methods:

  • Adaptation of SYBR Green melting curve analysis (MCA) into a quantitative method (qMCA) for ULP quantification.
  • Application of qMCA to 3C assays to analyze DNA looping at the CIITA and SOCS1 loci.
  • Utilized STAT1 and IRF1 ChIP-chip data to identify remote regulatory elements involved in IFNγ-mediated gene regulation.

Main Results:

  • qMCA demonstrated high reproducibility and accuracy in identifying and quantifying ULPs over a significant linear range.
  • The method effectively assessed DNA looping between remote elements at IFNγ-regulated target genes.
  • qMCA proved to be a rapid and inexpensive alternative to existing 3C quantification techniques.

Conclusions:

  • Quantitative melting curve analysis (qMCA) is a robust and efficient method for assessing in vivo chromatin looping.
  • This approach overcomes limitations of traditional 3C quantification methods, offering a cost-effective solution.
  • Data suggest that looping involving remote enhancers is a common mechanism in IFNγ-regulated gene targets.