Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A MEMS-enabled portable gas chromatography injection system for trace analysis.

Analytica chimica acta·2023
Same author

Unbalanced bidirectional radial stiffness gradients within the organ of Corti promoted by TRIOBP.

Proceedings of the National Academy of Sciences of the United States of America·2022
Same author

Scalable nanolaminated SERS multiwell cell culture assay.

Microsystems & nanoengineering·2021
Same author

Deterministic assembly of chromosome ensembles in a programmable membrane trap array.

Biofabrication·2021
Same author

Ionic liquid stationary phase coating optimization for semi-packed microfabricated columns.

Journal of chromatography. A·2021
Same author

Plasmonically Calibrated Label-Free Surface-Enhanced Raman Spectroscopy for Improved Multivariate Analysis of Living Cells in Cancer Subtyping and Drug Testing.

Analytical chemistry·2021

Related Experiment Video

Updated: Apr 5, 2026

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements
05:49

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements

Published on: December 2, 2022

3.3K

Single cell metastatic phenotyping using pulsed nanomechanical indentations.

Hesam Babahosseini1, Jeannine S Strobl, Masoud Agah

  • 1Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA. VT MEMS Laboratory, The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA.

Nanotechnology
|August 13, 2015
PubMed
Summary

This study introduces a novel method to distinguish metastatic from non-metastatic breast cancer cells by analyzing their distinct biomechanical responses to dynamic stress, enabling accurate single-cell phenotyping.

More Related Videos

Easy and Accurate Mechano-profiling on Micropost Arrays
10:25

Easy and Accurate Mechano-profiling on Micropost Arrays

Published on: November 17, 2015

11.7K
Author Spotlight: Shear Assay Protocol for the Determination of Single-Cell Material Properties
08:19

Author Spotlight: Shear Assay Protocol for the Determination of Single-Cell Material Properties

Published on: May 19, 2023

2.6K

Related Experiment Videos

Last Updated: Apr 5, 2026

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements
05:49

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements

Published on: December 2, 2022

3.3K
Easy and Accurate Mechano-profiling on Micropost Arrays
10:25

Easy and Accurate Mechano-profiling on Micropost Arrays

Published on: November 17, 2015

11.7K
Author Spotlight: Shear Assay Protocol for the Determination of Single-Cell Material Properties
08:19

Author Spotlight: Shear Assay Protocol for the Determination of Single-Cell Material Properties

Published on: May 19, 2023

2.6K

Area of Science:

  • Biophysics
  • Cell Biology
  • Cancer Research

Background:

  • Current methods for cell biomechanics often fail to differentiate metastatic from non-metastatic cells at the single-cell level due to overlapping descriptors.
  • Existing mechanotransduction models analyze responses to single stimuli, limiting insights into dynamic cellular behavior.

Purpose of the Study:

  • To develop a new biosensing marker for single-cell metastatic phenotyping.
  • To investigate the effects of a dynamic microenvironment on the biomechanical properties of metastatic and non-metastatic cells.

Main Methods:

  • Utilized atomic force microscopy (AFM) to apply a pulsed stress regimen to two non-metastatic and two metastatic epithelial breast cell lines.
  • Analyzed force-time data to quantify cellular mechanical responses under dynamic loading conditions.

Main Results:

  • Non-metastatic cells exhibited increased stiffness and resistance to deformation under pulsed stress.
  • Metastatic cells showed a softening response when subjected to similar dynamic mechanical changes.
  • This distinct biomechanical signature allowed for high-confidence (∼95%) differentiation of metastatic and non-metastatic cells.

Conclusions:

  • Dynamic microenvironmental changes reveal distinct biomechanical properties of metastatic versus non-metastatic cells.
  • This approach offers a promising new strategy for single-cell metastatic phenotyping.
  • The findings pave the way for improved diagnostic tools in cancer research.