ReviewAPL bioengineering2021
A survey of physical methods for studying nuclear mechanics and mechanobiology.
Review in APL bioengineering, 2021. 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
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.
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, 38 citations in OpenAlex.
- Nuclear Mechanics and Nuclear Mechanotransduction in Cancer Cell Migration and Invasion.Biomolecules · 2026Review
- Setting Up to Divide: Nuclear Mechanotransduction in the Regulation of Mitosis.Results and problems in cell differentiation · 2026Review
- Nucleus softens during herpesvirus infection.PLoS pathogens · 2026Article
- Heterogeneity as a feature: unraveling chromatin's role in nuclear mechanics.Nucleus (Austin, Tex.) · 2025Review
- Microtubule forces drive nuclear damage in LMNA cardiomyopathy.Nature cardiovascular research · 2025Article
- Targeting cancer cell stiffness and metastasis with clinical therapeutics.Clinical & experimental metastasis · 2025Review
- Robust quantification of cellular mechanics using optical tweezers.Biophysical reports · 2025Article
- Micro-Scale Topography Triggers Dynamic 3D Nuclear Deformations.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Review
- Active viscoelastic models for cell and tissue mechanics.Royal Society open science · 2024Article
- Mechanobiology of the cell nucleus.APL bioengineering · 2022Article
- Mechanics and functional consequences of nuclear deformations.Nature reviews. Molecular cell biology · 2022Review
- Integrating mechanical signals into cellular identity.Trends in cell biology · 2022Review
- The mechanobiology of nuclear phase separation.APL bioengineering · 2022Review
- Review
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
It is increasingly appreciated that the cell nucleus is not only a home for DNA but also a complex material that resists physical deformations and dynamically responds to external mechanical cues. The molecules that confer mechanical properties to nuclei certainly contribute to laminopathies and possibly contribute to cellular mechanotransduction and physical processes in cancer such as metastasis. Studying nuclear mechanics and the downstream biochemical consequences or their modulation requires a suite of complex assays for applying, measuring, and visualizing mechanical forces across diverse length, time, and force scales. Here, we review the current methods in nuclear mechanics and mechanobiology, placing specific emphasis on each of their unique advantages and limitations. Furthermore, we explore important considerations in selecting a new methodology as are demonstrated by recent examples from the literature. We conclude by providing an outlook on the development of new methods and the judicious use of the current techniques for continued exploration into the role of nuclear mechanobiology.
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.