ArticleNanoscale advances2024
Cytoplasmic viscosity is a potential biomarker for metastatic breast cancer cells.
Article in Nanoscale advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 34 citations in OpenAlex.
- Quantitative Analysis of Cytoplasmic Viscosity in Colorectal Cancer Cells by Differential Dynamic Microscopy of Genetically Encoded Nanoparticles.Chemical & biomedical imaging · 2026Article
- T cells are blind to the dark mechanics of tumors.Trends open · 2026Review
- Massart iron oxide nanoparticles in mechanobiology.Nanoscale advances · 2026Review
- Cell viscosity influences haematogenous dissemination and metastatic extravasation of tumour cells.Nature materials · 2026Article
- MYC modulates TOP2A diffusion to promote substrate detection and activity.Nature communications · 2026Article
- A viscosity-activable nano-micelle with aggregation-induced emission for boosting NIR-II fluorescence imaging-guided synergetic photodynamic/photothermal therapy of breast cancer.Materials today. Bio · 2025Article
- Cellular mechanical properties in response to environmental viscosity imaged by Brillouin Microscopy.Communications biology · 2025Article
- Nanoscale Analysis beyond Imaging by Atomic Force Microscopy: Molecular Perspectives on Oncology and Neurodegeneration.Small science · 2025Review
- Network analysis of gene expression reveals regulators of cell viscosity and mechanical phenotype.Scientific reports · 2025Article
- Biomolecular condensates-Prerequisites for anhydrobiosis?Protein science : a publication of the Protein Society · 2025Review
- Review
- The Mechanical Properties of Breast Cancer Cells and Their Surrounding Microenvironment.International journal of molecular sciences · 2025Review
- Nanotechnology meets medicine: applications of atomic force microscopy in disease.Biophysical reviews · 2025Review
- Linking Metastatic Potential and Viscoelastic Properties of Breast Cancer Spheroids via Dynamic Compression and Relaxation in Microfluidics.Advanced healthcare materials · 2025Article
- Time-dependent diffusion MRI for noninvasive molecular subtype differentiation and biological correlation in breast cancer: emphasizing the emerging three-tier HER2 classification.Frontiers in oncology · 2025Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular microrheology has shown that cancer cells with high metastatic potential are softer compared to non-tumorigenic normal cells. These findings rely on measuring the apparent Young's modulus of whole cells using primarily atomic force microscopy. The present study aims to explore whether alternative mechanical parameters have discriminating features with regard to metastatic potential. Magnetic rotational spectroscopy (MRS) is employed in the examination of mammary epithelial cell lines: MCF-7 and MDA-MB-231, representing low and high metastatic potential, along with normal-like MCF-10A cells. MRS utilizes active micron-sized magnetic wires in a rotating magnetic field to measure the viscosity and elastic modulus of the cytoplasm. All three cell lines display viscoelastic behavior, with cytoplasmic viscosities ranging from 10 to 70 Pa s and elastic moduli from 30 to 80 Pa. It is found that the tumorigenic MCF-7 and MDA-MB-231 cells are softer than the MCF-10A cells, with a twofold decrease in the elastic modulus. To differentiate cells with low and high malignancy however, viscosity emerges as the more discriminating parameter, as MCF-7 exhibits a 5 times higher viscosity as compared to MDA-MB-231. These findings highlight the sensitivity of cytoplasmic viscosity to metastatic activity, suggesting its potential use as a mechanical marker for malignant cancer cells.
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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.