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Updated: May 25, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
Published on: May 6, 2010
Image-based analysis of the genome's fractality during the cell cycle
Suho Lee1, Xutong Liu1, Ivan Ziabkin1
1Center for Soft Matter Research, Department of Physics, New York University, New York, New York.
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The human genome consists of about 2 m of DNA packed inside the cell nucleus barely 10 μm in diameter. DNA is complexed with histones, forming chromatin fiber, which folds inside the nucleus into loops, topologically associating domains, A/B compartments, and chromosome territories. This organization is knot-free and self-similar across length scales, leading to a hypothesis that the genome presents a fractal globule, which was corroborated by chromosome conformation capture experiments. In addition, many microscopy techniques have been used to obtain the fractal dimension of the genome's spatial distribution from its images. However, different techniques often required that different definitions of fractal dimension be adapted, making the comparison of these results not trivial. In this study, we use spinning disk confocal microscopy to collect high-resolution images of nuclei in live human cells during the cell cycle. We then systematically compare existing image-based fractal analyses-including mass-scaling, box-counting, lacunarity, and multifractal spectrum-by applying them to images of human cell nuclei and investigate changes in the genome's spatial organization during the cell cycle. Our data reveal that different image-based fractal measurements offer distinct metrics, highlighting different features of the genome's spatial organization. Yet, all these metrics consistently indicate the following trend for the changes in the genome's organization during the cell cycle: the genome being compactly packed in early G1 phase, followed by a decondensation throughout the G1 phase, and a subsequent condensation in the S and G2 phases. Our comprehensive comparison of image-based fractal analyses reconciles the perceived discrepancies between different methods. Moreover, our results offer new insights into the physical principles underlying the genome's organization and its changes during the cell cycle.
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