Comprehensive profiling of chromatin occupancy dynamics through the cell cycle.
Yulong Li1, David M MacAlpine2, Alexander J Hartemink1
1Department of Computer Science, Duke University, Durham, NC 27708, United States.
Nucleic Acids Research
|January 16, 2026
Summary
Cell division involves complex chromatin and transcription dynamics. This study reveals transcription-independent chromatin changes and uses a model to predict transcript dynamics during the cell cycle.
Area of Science:
- Molecular Biology
- Genetics
- Cell Biology
Background:
- DNA-binding factors establish chromatin context for DNA-templated processes.
- Previous research focused on external perturbations, lacking cell-cycle specific chromatin dynamics.
- Understanding cell-cycle chromatin dynamics is crucial for gene regulation.
Purpose of the Study:
- Investigate the interplay between cell-cycle-regulated chromatin dynamics and transcription.
- Profile genome-wide chromatin occupancy and transcriptome across cell cycles.
- Develop a model to predict transcript dynamics using chromatin data.
Main Methods:
- Utilized Saccharomyces cerevisiae as a model organism.
- Performed time-series profiling of chromatin occupancy (MNase-seq) and transcriptome (RNA-seq) over two cell cycles.
- Employed entropy as a measure of nucleosome organization and developed a Gaussian process statistical model.
Main Results:
- Identified a small subset of cell-cycle-regulated genes with matching protein occupancy and expression dynamics.
- Discovered widespread, transcription-independent chromatin changes during cell-cycle progression.
- Observed nucleosome disruption in S phase and re-organization in M phase, with exceptions for highly transcribed mitotic genes.
Conclusions:
- Chromatin dynamics during the cell cycle are complex and not always directly tied to gene expression.
- Transcription-independent chromatin reorganization occurs during cell division.
- The developed model improves prediction of transcript dynamics using chromatin features.
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