ArticleProceedings of the National Academy of Sciences of the United States of America2021
Stochastic chromatin packing of 3D mitotic chromosomes revealed by coherent X-rays.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Three-dimensional structure of printer toner visualized using cryogenic X-ray diffraction imaging tomography.Journal of synchrotron radiation · 2025Article
- Accurate real space iterative reconstruction (RESIRE) algorithm for tomography.Scientific reports · 2023Article
- Direct observation of surface charge and stiffness of human metaphase chromosomes.Nanoscale advances · 2023Article
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Authors and funding
16 authors.
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Abstract
DNA molecules are atomic-scale information storage molecules that promote reliable information transfer via fault-free repetitions of replications and transcriptions. Remarkable accuracy of compacting a few-meters-long DNA into a micrometer-scale object, and the reverse, makes the chromosome one of the most intriguing structures from both physical and biological viewpoints. However, its three-dimensional (3D) structure remains elusive with challenges in observing native structures of specimens at tens-of-nanometers resolution. Here, using cryogenic coherent X-ray diffraction imaging, we succeeded in obtaining nanoscale 3D structures of metaphase chromosomes that exhibited a random distribution of electron density without characteristics of high-order folding structures. Scaling analysis of the chromosomes, compared with a model structure having the same density profile as the experimental results, has discovered the fractal nature of density distributions. Quantitative 3D density maps, corroborated by molecular dynamics simulations, reveal that internal structures of chromosomes conform to diffusion-limited aggregation behavior, which indicates that 3D chromatin packing occurs via stochastic processes.
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