ArticleScientific reports2016
A high throughput approach for analysis of cell nuclear deformability at single cell level.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 47 citations in OpenAlex.
- Multiscale Architecture and Mechanics of the Cell Nucleus: Implications for Disease, Bioengineering and Nanomedicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Micropillar Topography Regulates Morphology and Melanogenesis in Melanoma Cells.Journal of functional biomaterials · 2026Article
- Micropillars in Cell Mechanobiology: Design, Fabrication, Characterization, and Biosensing Applications.Small science · 2025Review
- Micro-Scale Topography Triggers Dynamic 3D Nuclear Deformations.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- A high-throughput microfabricated platform for rapid quantification of metastatic potential.Science advances · 2024Article
- Interface-Mediated Neurogenic Signaling: The Impact of Surface Geometry and Chemistry on Neural Cell Behavior for Regenerative and Brain-Machine Interfacing Applications.Advanced materials (Deerfield Beach, Fla.) · 2024Review
- A Cell Culture Chip with Transparent, Micropillar-Decorated Bottom for Live Cell Imaging and Screening of Breast Cancer Cells.Micromachines · 2022Article
- The nuclear import of the transcription factor MyoD is reduced in mesenchymal stem cells grown in a 3D micro-engineered niche.Scientific reports · 2021Article
- Micropatterned Surfaces Expose the Coupling between Actin Cytoskeleton-Lamin/Nesprin and Nuclear Deformability of Breast Cancer Cells with Different Malignancies.Advanced biology · 2021Article
- Calcium Phosphate Coating Prepared by Microarc Oxidation AffectsMaterials (Basel, Switzerland) · 2020Article
- Dynamic adaptation of mesenchymal stem cell physiology upon exposure to surface micropatterns.Scientific reports · 2019Article
- Square prism micropillars on poly(methyl methacrylate) surfaces modulate the morphology and differentiation of human dental pulp mesenchymal stem cells.Colloids and surfaces. B, Biointerfaces · 2019Article
- Micro and Nanofabrication methods to control cell-substrate interactions and cell behavior: A review from the tissue engineering perspective.Bioactive materials · 2018Review
- Square prism micropillars improve osteogenicity of poly(methyl methacrylate) surfaces.Journal of materials science. Materials in medicine · 2018Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
Various physiological and pathological processes, such as cell differentiation, migration, attachment, and metastasis are highly dependent on nuclear elasticity. Nuclear morphology directly reflects the elasticity of the nucleus. We propose that quantification of changes in nuclear morphology on surfaces with defined topography will enable us to assess nuclear elasticity and deformability. Here, we used soft lithography techniques to produce 3 dimensional (3-D) cell culture substrates decorated with micron sized pillar structures of variable aspect ratios and dimensions to induce changes in cellular and nuclear morphology. We developed a high content image analysis algorithm to quantify changes in nuclear morphology at the single-cell level in response to physical cues from the 3-D culture substrate. We present that nuclear stiffness can be used as a physical parameter to evaluate cancer cells based on their lineage and in comparison to non-cancerous cells originating from the same tissue type. This methodology can be exploited for systematic study of mechanical characteristics of large cell populations complementing conventional tools such as atomic force microscopy and nanoindentation.
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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.