ArticleCurrent protocols2023
Agarose-based 3D Cell Confinement Assay to Study Nuclear Mechanobiology.
Article in Current protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 9 citations in OpenAlex.
- Nuclear mechanotransduction: tools for mechanical perturbation and chromatin characterization.Nucleus (Austin, Tex.) · 2026Review
- CFM: confinement force microscopy-a dynamic, precise and stable microconfiner for traction force microscopy in spatial confinement.Nature methods · 2026Article
- B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses.FEBS letters · 2025Review
- Engineered In Vitro Platforms for Mechanochemical Control of Cell Migration.Cold Spring Harbor perspectives in biology · 2025Review
- The impact of compression and confinement in tumor growth and progression: emerging concepts in cancer mechanobiology.Frontiers in materials · 2025Article
- 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
4 authors at 1 institution in 1 country.
Funding
Abstract
Cells in living tissues are exposed to substantial mechanical forces and constraints imposed by neighboring cells, the extracellular matrix, and external factors. Mechanical forces and physical confinement can drive various cellular responses, including changes in gene expression, cell growth, differentiation, and migration, all of which have important implications in physiological and pathological processes, such as immune cell migration or cancer metastasis. Previous studies have shown that nuclear deformation induced by 3D confinement promotes cell contractility but can also cause DNA damage and changes in chromatin organization, thereby motivating further studies in nuclear mechanobiology. In this protocol, we present a custom-developed, easy-to-use, robust, and low-cost approach to induce precisely defined physical confinement on cells using agarose pads with micropillars and externally applied weights. We validated the device by confirming nuclear deformation, changes in nuclear area, and cell viability after confinement. The device is suitable for short- and long-term confinement studies and compatible with imaging of both live and fixed samples, thus presenting a versatile approach to studying the impact of 3D cell confinement and nuclear deformation on cellular function. This article contains detailed protocols for the fabrication and use of the confinement device, including live cell imaging and labeling of fixed cells for subsequent analysis. These protocols can be amended for specific applications. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Design and fabrication of the confinement device wafer Basic Protocol 2: Cell confinement assay Support Protocol 1: Fixation and staining of cells after confinement Support protocol 2: Live/dead staining of cells during confinement.
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.