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Updated: Jun 23, 2025

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Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C
Published on: October 14, 2022
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Decoding chromosome organization using CheC-PLS: chromosome conformation by proximity labeling and long-read
Kewei Xu1,2, Yichen Zhang1,2, James Baldwin-Brown1
1School of Biological Sciences, University of Utah.
Biorxiv : the Preprint Server for Biology
|June 19, 2024
Summary
CheC-PLS is a new proximity-labeling method that maps protein-DNA interactions in single cells. This technique reveals dynamic genome organization and reveals variability in chromosome structure between cells.
Area of Science:
- Genomics
- Molecular Biology
- Chromatin Biology
Background:
- Genomic techniques offer insights into chromosome structure but often miss connectivity information.
- Large-scale genome organization remains poorly understood due to limitations in current methods.
Purpose of the Study:
- To develop and validate CheC-PLS, a novel proximity-labeling technique for analyzing in vivo genome organization.
- To characterize the 3D organization of chromatin and protein associations at high resolution.
Main Methods:
- CheC-PLS utilizes dam methyltransferase tethered to a protein of interest.
- Nanopore sequencing identifies methylated bases, indicating in vivo proximity along long DNA reads (>100kb).
- The technique was applied to budding yeast and isolated nuclei using nanobodies.
Main Results:
- CheC-PLS successfully recapitulated known cohesin association patterns in budding yeast.
- The method revealed cell-to-cell variability in chromosome organization.
- Single-read data demonstrated cohesin translocation and defined the internal structure of the ribosomal DNA locus.
Conclusions:
- CheC-PLS provides a versatile tool for decoding protein-associated sites and understanding in vivo chromosome conformations.
- The technique illuminates dynamic chromosomal processes and single-chromosome organization.
- This method advances the study of genome architecture and its variability.
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