Related Experiment Video
Updated: Jun 25, 2026
10:08
Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions
Published on: February 24, 2021
Quantitative analysis of complex glioma cell migration on electrospun polycaprolactone using time-lapse microscopy
Jed Johnson1, M Oskar Nowicki, Carol H Lee
1Department of Materials Science and Engineering, The Ohio State University , Columbus, OH 43210, USA.
Tissue Engineering. Part C, Methods
|February 10, 2009
Summary
A new tissue engineering model shows that glioma cells migrate faster on aligned nanofibers than random ones. This finding aids in understanding and potentially inhibiting malignant glioma invasion.
Area of Science:
- Biomedical Engineering
- Cancer Biology
- Neuro-oncology
Background:
- Malignant gliomas are aggressive brain tumors with poor prognosis.
- Understanding glioma cell migration is crucial for developing effective therapies.
- Current in vitro models struggle to replicate in vivo glioma invasion.
Purpose of the Study:
- To develop a physiologically relevant in vitro model for studying glioma cell migration.
- To investigate the impact of topographical cues on glioma cell behavior.
- To identify potential targets for inhibiting glioma invasion.
Main Methods:
- Utilized a tissue engineering approach with electrospun poly-epsilon-caprolactone nanofibers (random vs. aligned).
- Employed time-lapse microscopy to observe and quantify glioma cell migration.
- Assessed cell morphology and migration dynamics on different fiber orientations.
- Used glioma stem cell neurospheres to model invasive behavior.
Main Results:
- Glioma cells exhibited significantly faster migration on aligned fibers (4.2 microm/h) compared to random fibers (0.8 microm/h).
- Aligned fibers promoted a fusiform cell morphology conducive to infiltration, while random fibers hindered net motion.
- Glioma stem cell neurospheres detached and migrated extensively on aligned fibers but remained cohesive on random fibers.
- Cell migration was influenced by cell cycle and local topography.
Conclusions:
- The developed tissue engineering model accurately recapitulates in vivo glioma cell migration.
- Topographical cues, specifically fiber alignment, profoundly influence glioma cell invasion.
- This model offers a platform for identifying mediators and inhibitors of malignant glioma spread.
