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Updated: May 20, 2026

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C
Published on: October 14, 2022
Decoding chromosome organization using proximity labeling and long-read sequencing
Kewei Xu1, Yichen Zhang1, James Baldwin-Brown2
1School of Biological Sciences, University of Utah, Salt Lake City, UT, 84112, USA; Center for Cell and Genome Sciences, University of Utah, Salt Lake City, UT, 84112, USA.
We developed npDamID, a new method to map DNA-protein interactions and genome structure. This technique reveals how proteins like cohesin organize DNA, even in complex repetitive regions, offering insights into chromosome conformation.
Area of Science:
- Genomics
- Molecular Biology
- Chromatin Biology
Background:
- Current genomic methods often fail to preserve crucial connectivity information, hindering the characterization of large-scale genome organization.
- Understanding DNA-protein interactions and chromosome architecture is vital for deciphering cellular processes.
Purpose of the Study:
- To develop a novel in vivo proximity-labeling technique, npDamID, for indelibly marking and decoding protein-associated DNA sites.
- To characterize large-scale genome organization and protein association patterns, particularly in challenging repetitive regions.
Main Methods:
- npDamID utilizes a tethered dam methyltransferase to label DNA in proximity to a protein of interest.
- Nanopore sequencing of ultra-long reads (>100 kb) identifies methylated bases, enabling the reconstruction of DNA-protein interaction landscapes.
- The technique was validated in budding yeast by analyzing the cohesin-based meiotic backbone.
Main Results:
- npDamID successfully recapitulated known cohesin association patterns and revealed cell-to-cell variability.
- Analysis of single reads demonstrated distance-dependent correlations between methylated sites.
- The method accurately mapped in vivo cohesin association within the repetitive ribosomal DNA locus by anchoring on unique regions.
Conclusions:
- npDamID is a versatile technique for mapping heterogeneous protein association patterns and in vivo chromosome conformations.
- This approach overcomes limitations of existing methods, particularly in repetitive genomic regions.
- npDamID promises to advance our understanding of diverse chromosomal processes and genome organization.
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