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Characterization of white adipocyte heterogeneity using data-driven microscopy.
Jieyu Zhang1, Christian Simonsson1, Ayesha Fawad2
1Department of Experimental Medical Science, Lund University, Lund, Sweden.
International Journal of Obesity (2005)
|July 8, 2026
Summary
This study used advanced imaging to analyze protein levels in human fat cells, revealing distinct adipocyte subtypes. The findings support the existence of diverse mature adipocyte populations based on protein expression.
Area of Science:
- Cell Biology
- Adipose Tissue Biology
- Proteomics
Background:
- Single-cell transcriptomics reveals cellular diversity in adipose tissue.
- Transcriptionally distinct adipocyte subpopulations have been identified.
- This study aimed to validate adipocyte heterogeneity at the protein level.
Purpose of the Study:
- To rigorously test adipocyte heterogeneity at the protein level.
- To develop and apply a data-driven imaging platform for protein analysis in primary adipocytes.
- To assess the expression of adipocyte subtype markers (PLIN1, DDR2) and GLUT4.
Main Methods:
- Primary adipocytes were isolated from human abdominal and gluteal adipose tissue.
- Immunofluorescence staining was used to assess protein levels of GLUT4, PLIN1, and DDR2.
- A data-driven imaging platform with shape-based filtering identified mature adipocytes across a wide size range.
Main Results:
- The imaging platform accurately identified hundreds of adipocytes.
- A significant proportion of adipocytes exhibited high levels of both DDR2 and PLIN1.
- No significant differences in GLUT4 levels were observed within the analyzed adipocyte population.
Conclusions:
- Population-wide imaging provides a robust method for single-cell validation.
- Distinct protein levels of proposed adipocyte markers suggest the presence of mature adipocyte subtypes.
- Further validation of cellular characteristics at the single-cell level is supported by this approach.
