Evidence map›Paper›PMID 39146200›Full record

ArticleeLife2024

OpenNucleome for high-resolution nuclear structural and dynamical modeling.

Zhuohan Lao, Kartik D Kamat, Zhongling Jiang, Bin Zhang

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Energy landscape analysis of the development of the chromosome structure across the cell cycle.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Mechanisms of DNA repair and mutagenesis induced by acetaldehyde, acrolein, aristolochic acids, and vinyl chloride.Journal of environmental science and health. Part C, Toxicology and carcinogenesis · 2025
    Review
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Zhuohan LaoDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.ORCID https://orcid.org/0000-0001-5404-2183
Kartik D KamatDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.
Zhongling JiangDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.
Bin ZhangDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.ORCID https://orcid.org/0000-0002-3685-7503

Funding

Probing and Perturbing Transcriptional Condensates with Multiscale Modeling and Deep LearningR35GM133580 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Bin Zhang · 2019 to 2026
$3.1M
NIGMS NIH HHS R35 GM133580NIGMS NIH HHS R35GM133580
6 · The paper itself

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.

Indexed as

Cell NucleusMolecular Dynamics SimulationChromosomes, HumanHumansSoftware3D Genomechromosome foldingchromosomesgene expressionhumanmolecular biophysicsnuclear compartmentsstructural biology

Identifiers

PMID39146200
PMCPMC11326778

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.