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Structural organization of interphase 3T3 fibroblasts studied by total internal reflection fluorescence microscopy
The Journal of Cell Biology
|April 1, 1985
Summary
Total internal reflection fluorescence (TIRF) microscopy reveals cell-substrate contact details. This technique quantises cell-substrate separation and maps actin distribution in 3T3 fibroblasts, advancing cell adhesion studies.
Area of Science:
- Cell Biology
- Biophysics
- Microscopy Techniques
Background:
- Understanding cell-substrate interactions is crucial for cell adhesion and migration.
- Total internal reflection fluorescence (TIRF) microscopy offers high resolution near the cell surface.
- Quantifying cell-substrate separation and intracellular component distribution is challenging.
Purpose of the Study:
- To investigate the laminar organization of 3T3 fibroblast cells at the cell-substrate interface.
- To utilize TIRF microscopy for precise measurements of cell-substrate separation.
- To map the distribution of actin and other cellular components within contact regions.
Main Methods:
- Employing TIRF microscopy with various fluorescent stains (dil-C3-(3), Hoechst dye 33342, dil-C18-(3), fluoresceinyl-dextran, carboxyfluorescein, fluorescein-labeled actin).
- Analyzing reflection interference images alongside TIRF images to correlate cell structures with contact zones.
- Performing TIRF photometry on selected contact regions to compute absolute cell-substrate separation.
Main Results:
- Computed cytoplasmic refractive index (1.358-1.374) based on critical angle measurements.
- Demonstrated high correlation between low-reflectance zones and TIRF images of plasma membrane and cytoplasm.
- Identified intense TIRF signal patches at focal contact points, corresponding to stress fiber endpoints in adherent cells.
Conclusions:
- TIRF microscopy can accurately measure the proximity of cellular components to the substrate.
- The technique allows for detailed analysis of cell-substrate contact dynamics and intracellular organization.
- TIRF microscopy is a powerful tool for studying the physical interactions between cells and their environment.