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Visualization of 3D White Adipose Tissue Structure Using Whole-mount Staining
Published on: November 17, 2018
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Imaging white adipose tissue with confocal microscopy
Gabriel Martinez-Santibañez1, Kae Won Cho2, Carey N Lumeng2
1Cellular and Molecular Biology Program, University of Michigan, Ann Arbor, Michigan, USA.
Methods in Enzymology
|February 1, 2014
Summary
This study explores imaging rodent adipose tissue using laser scanning confocal microscopy. This technique preserves cellular interactions for analyzing 3D fat structures and understanding metabolic dysfunction.
Area of Science:
- Cell Biology
- Histology
- Metabolic Research
Background:
- Adipose tissue comprises diverse cells (adipocytes, leukocytes, etc.) crucial for nutrient storage.
- Obesity alters adipose tissue architecture, linking to metabolic dysfunction.
- Understanding the adipose microenvironment is key to adipocyte function regulation.
Purpose of the Study:
- To present laser scanning confocal microscopy as a method for imaging rodent adipose tissue.
- To highlight techniques preserving cellular interactions and 3D structures in fat analysis.
- To investigate adipose tissue microenvironments in the context of metabolic health.
Main Methods:
- Utilizing laser scanning confocal microscopy for adipose tissue imaging in rodents.
- Employing techniques that maintain cellular interactions within the adipose microenvironment.
- Analyzing the three-dimensional architecture of adipose tissue samples.
Main Results:
- Demonstrated the efficacy of laser scanning confocal microscopy for detailed adipose tissue visualization.
- Preserved cellular architecture and intercellular relationships in rodent fat samples.
- Provided insights into the structural changes in adipose tissue associated with metabolic dysfunction.
Conclusions:
- Laser scanning confocal microscopy is a valuable tool for studying adipose tissue microenvironments.
- Preserving 3D structures and cellular interactions is essential for understanding adipose tissue function and dysfunction.
- This imaging approach aids research into obesity and related metabolic disorders.
