ArticleCellular and molecular bioengineering2016
Mechanobiology of Chromatin and the Nuclear Interior.
Article in Cellular and molecular bioengineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
Who cites it
15 citing papers in PubMed, 30 citations in OpenAlex.
- Chromatin remodelling: a driving force in reverse mechanotransduction.RNA biology · 2026Review
- Nuclear Mechanotransduction Across the Metastatic Cascade: Decoding Spatiotemporal Heterogeneity in Cancer Dissemination.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Cellular and Nuclear Forces: An Overview.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Genome maintenance meets mechanobiology.Chromosoma · 2024Review
- The power of weak, transient interactions across biology: A paradigm of emergent behavior.Physica D. Nonlinear phenomena · 2023Article
- Mechanically induced alterations in chromatin architecture guide the balance between cell plasticity and mechanical memory.Frontiers in cell and developmental biology · 2023Review
- Chromatin condensation regulates endothelial cell adaptation to shear stress.Molecular biology of the cell · 2022Article
- Nuclear deformation guides chromatin reorganization in cardiac development and disease.Nature biomedical engineering · 2021Article
- Orchestration of Force Generation and Nuclear Collapse in Apoptotic Cells.International journal of molecular sciences · 2021Review
- Imaging methods in mechanosensing: a historical perspective and visions for the future.Molecular biology of the cell · 2021Review
- Multiple particle tracking analysis in isolated nuclei reveals the mechanical phenotype of leukemia cells.Scientific reports · 2020Article
- Review
- Quantifying site-specific chromatin mechanics and DNA damage response.Scientific reports · 2018Article
- Emerging views of the nucleus as a cellular mechanosensor.Nature cell biology · 2018Review
- DNA Mechanics and Topology.Advances in experimental medicine and biologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The view of the cell nucleus has evolved from an isolated, static organelle to a dynamic structure integrated with other mechanical elements of the cell. Both dynamics and integration appear to contribute to a mechanical regulation of genome expression. Here, we review physical structures inside the nucleus at different length scales and the dynamic reorganization modulated by cellular forces. First, we discuss nuclear organization focusing on self-assembly and disassembly of DNA structures and various nuclear bodies. We then discuss the importance of connections from the chromatin fiber through the nuclear envelope to the rest of the cell as they relate to mechanobiology. Finally, we discuss how cell stimulation, both chemical and physical, can alter nuclear structures and ultimately cellular function in healthy cells and in some model diseases. The view of chromatin and nuclear bodies as mechanical entities integrated with force generation from the cytoskeleton combines polymer physics with cell biology and medicine.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.