Efficient Hi-C inversion facilitates chromatin folding mechanism discovery and structure prediction

Schuette, Greg; Ding, Xinqiang; Zhang, Bin

doi:10.1016/j.bpj.2023.07.017

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Cited by 8 publications

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Using Free Energy-Based Modeling to Predict Chromatin Loops in the Human Genome

Dawson,

Lazniewski,

Plewczynski

2024

Reference Module in Life Sciences

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Using Free Energy-Based Modeling to Predict Chromatin Loops in the Human Genome

Dawson,

Lazniewski,

Plewczynski

2024

Reference Module in Life Sciences

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OpenNucleome for high resolution nuclear structural and dynamical modeling

Lao,

Kamat,

Jiang

et al. 2023

Preprint

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The intricate structural organization of the human nucleus is fundamental to cellular function and gene regulation. Recent advancements in experimental techniques, including high-throughput sequencing and microscopy, have provided valuable insights into nuclear organization. Computational modeling has played significant roles in interpreting experimental observations by reconstructing high-resolution structural ensembles and uncovering organization principles. However, the absence of standardized modeling tools poses challenges for furthering nuclear investigations. We present OpenNucleome---an open-source software designed for conducting GPU-accelerated molecular dynamics simulations of the human nucleus. OpenNucleome offers particle-based representations of chromosomes at a resolution of 100 KB, encompassing nuclear lamina, nucleoli, and speckles. This software furnishes highly accurate structural models of nuclear architecture, affording the means for dynamic simulations of condensate formation, fusion, and exploration of non-equilibrium effects. We applied OpenNucleome to uncover the mechanisms driving the emergence of 'fixed points' within the nucleus signifying genomic loci robustly anchored in proximity to specific nuclear bodies for functional purposes. This anchoring remains resilient even amidst significant fluctuations in chromosome radial positions and nuclear shapes within individual cells. Our findings lend support to a nuclear zoning model that elucidates genome functionality. We anticipate OpenNucleome to serve as a valuable tool for nuclear investigations, streamlining mechanistic explorations and enhancing the interpretation of experimental observations.

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