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Updated: Jun 12, 2025

Measuring the Mechanical Properties of Living Cells Using Atomic Force Microscopy
Published on: June 27, 2013
Protocol for evaluating extracellular matrix stiffness post-decellularization of triple-negative breast cancer cells
Swagata Adhikari1, Manorama Ghosal2, Aindrila Kabiraj1
1Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata 700064, India; Homi Bhabha National Institute, Mumbai, India.
This study details a protocol using Atomic Force Microscopy (AFM) to measure the stiffness of extracellular matrix (ECM) gels with breast cancer cells. The method quantifies how cancer cells influence ECM mechanical properties.
Area of Science:
- Biomedical Engineering
- Cell Biology
- Materials Science
Background:
- Atomic Force Microscopy (AFM) is crucial for nanoscale measurements in biomedical research.
- Understanding extracellular matrix (ECM) mechanics is vital for cancer research.
- Cancer cells are known to alter the tumor microenvironment, including ECM stiffness.
Purpose of the Study:
- To present a detailed protocol for measuring the stiffness of ECM gels.
- To investigate the role of breast cancer cells in modulating ECM gel stiffness.
- To provide a method for quantifying nanomechanical properties of cell-enriched ECM.
Main Methods:
- Utilized Atomic Force Microscopy (AFM) with the PeakForce quantitative nanomechanics technique.
- Measured the elastic modulus and captured topology images of ECM gels.
- Incorporated breast cancer cells into artificial ECM gels for analysis.
Main Results:
- Successfully established a protocol for quantitative nanomechanical assessment of ECM gels.
- Demonstrated the ability to measure stiffness variations in ECM gels.
- Provided a method to evaluate cancer cell-induced changes in ECM stiffness.
Conclusions:
- The presented AFM protocol enables precise measurement of ECM gel stiffness.
- This technique can elucidate the contribution of cancer cells to ECM mechanical modulation.
- The protocol offers valuable insights into cancer cell-matrix interactions and tumor progression.
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