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Updated: Jul 2, 2026

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CRISPR-Mediated Reorganization of Chromatin Loop Structure
Published on: September 14, 2018
Genome-wide absolute quantification of chromatin looping
James M Jusuf1,2,3,4, Jin H Yang1,2,3,4, Jack Toppen1,2,3,4,5
1Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nature Structural & Molecular Biology
|July 1, 2026
Summary
Researchers developed a new method to quantify chromatin loop absolute probabilities using live-imaging data. This study reveals that most genomic loops occur rarely, with CTCF-CTCF loops being stronger than cis-regulatory loops.
Area of Science:
- Genomics
- Molecular Biology
- Cell Biology
Background:
- Three-dimensional genomics techniques like Hi-C and Micro-C identify chromatin loops involved in gene regulation.
- Current methods measure chromatin interactions on a relative scale, lacking absolute probability quantification.
Purpose of the Study:
- To overcome the limitation of relative interaction probabilities in 3D genomics.
- To establish a method for genome-wide absolute loop quantification.
- To determine the absolute looping probabilities of chromatin loops.
Main Methods:
- Utilized live-imaging data to calibrate Micro-C in mouse embryonic stem cells.
- Quantified absolute looping probabilities for 65,929 Micro-C-identified chromatin loops.
- Extended findings to human cells under specific assumptions.
Main Results:
- The looped state is generally rare, with a mean pairwise looping probability of 1.2% and a maximum of 25%.
- CTCF-CTCF loops exhibit higher probabilities (2.2%) compared to cis-regulatory loops (<1%).
- Established a genome-wide approach for absolute loop quantification.
Conclusions:
- Chromatin loops generally occur with low absolute probabilities.
- The developed method provides a quantitative framework for understanding genome architecture.
- Findings generalize live-imaging observations to the entire genome.
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