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OpenNucleome for high-resolution nuclear structural and dynamical modeling.

Zhuohan Lao1, Kartik D Kamat1, Zhongling Jiang1

  • 1Department of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.

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|August 15, 2024
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Summary

OpenNucleome is a new open-source software for simulating the human nucleus. It helps uncover how genomic regions anchor to nuclear bodies, supporting a nuclear zoning model for genome function.

Keywords:
3D Genomechromosome foldingchromosomesgene expressionhumanmolecular biophysicsnuclear compartmentsstructural biology

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Area of Science:

  • Cell Biology
  • Computational Biology
  • Genomics

Background:

  • The human nucleus's structure is vital for cellular function and gene regulation.
  • Advanced experimental methods offer insights, but computational modeling tools are needed for interpretation.
  • Standardized modeling software is lacking for nuclear organization studies.

Purpose of the Study:

  • Introduce OpenNucleome, an open-source software for GPU-accelerated molecular dynamics simulations of the human nucleus.
  • Enable high-resolution particle-based modeling of chromosomes (100 KB resolution), nuclear lamina, nucleoli, and speckles.
  • Facilitate dynamic simulations of nuclear architecture, condensate formation, and non-equilibrium effects.

Main Methods:

  • Developed OpenNucleome, an open-source software utilizing GPU-accelerated molecular dynamics.
  • Implemented particle-based representations for chromosomes, nuclear lamina, nucleoli, and speckles.
  • Applied the software to investigate the formation of "fixed points" in nuclear organization.

Main Results:

  • OpenNucleome provides accurate structural models of nuclear architecture.
  • Simulations revealed mechanisms behind the emergence of "fixed points" (genomic loci anchoring).
  • Anchoring of "fixed points" is resilient to fluctuations in chromosome position and nuclear shape.

Conclusions:

  • Findings support a nuclear zoning model explaining genome functionality.
  • OpenNucleome serves as a valuable tool for mechanistic exploration in nuclear biology.
  • The software enhances the interpretation of experimental data in nuclear organization research.