bioRxivBiophysics
OpenNucleome for high resolution nuclear structural and dynamical modeling
Abstract
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.
- organism: human
- assay: Hi-C
- assay: spatial transcriptomics
- research focus: chromatin & epigenetic regulation
- research focus: cell type annotation
- research focus: trajectory inference
- research focus: differential expression
- approach: deep learning
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- 4D Mesoscale liquid model of nucleus resolves chromatin's radial organization
R. Laghmach, M. Di Pierro, D. Potoyan·bioRxiv·Sep 21, 2023
- Molecular architecture of heterochromatin at the nuclear periphery of primary human cells
Jan Philipp Kreysing, Sergio Cruz-León, … Martin Beck·Nature CommunicationsPeer-reviewed·Jul 3, 2026
- Nucleus size and its effect on the chromatin structure in living cells.
A. K. Efremov, L. Hovan, J. Yan·bioRxiv·Jul 27, 2021
- Genome Compartmentalization with Nuclear Landmarks: Random yet Precise
- Multiscale Molecular Modelling of Chromatin with MultiMM: From Nucleosomes to the Whole Genome
Sevastianos Korsak, Krzysztof H. Banecki, Dariusz Plewczyński·Computational and Structural Biotechnology JournalPeer-reviewed·Oct 2, 2024
- Chromatin phase separation and nuclear shape fluctuations are correlated in a polymer model of the nucleus
A. G. Attar, J. Paturej, … A. Erbas·bioRxiv·Dec 16, 2023