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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Related Experiment Video

Updated: Jun 20, 2025

Isolation of Adipose Tissue Immune Cells
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Isolation of Adipose Tissue Immune Cells

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Adipocyte ABCA1 expression analysis using flow cytometry.

Sakshi Shukla1, Ashutosh Bansal2, Sandeep Aggarwal3

  • 1Department of Biochemistry, AIIMS, New Delhi, India.

Biotechniques
|July 17, 2024
PubMed
Summary
This summary is machine-generated.

This study presents an improved flow cytometry protocol for characterizing fragile adipocytes, even from high BMI subjects. The optimized method enhances cell viability and membrane protein analysis, improving feasibility and cost-efficiency.

Keywords:
ABCA1BMIadipocytesadipose tissueflow cytometrygatinglipid droplets

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Area of Science:

  • Cell Biology
  • Biotechnology
  • Biochemistry

Background:

  • Adipocyte characterization via flow cytometry is difficult due to cell fragility, particularly in individuals with high Body Mass Index (BMI).
  • Existing methods often lead to cell breakage and inaccurate membrane protein analysis.

Purpose of the Study:

  • To develop an optimized flow cytometry protocol for reliable adipocyte membrane protein analysis.
  • To overcome the challenges associated with fragile adipocytes and high BMI samples.

Main Methods:

  • Optimized tissue digestion time and reduced intermediate steps to minimize adipocyte friction and breakage.
  • Implemented a modified gating strategy to exclude lipid droplets, ensuring accurate cell population analysis.
  • Verified adipocyte selection by checking the expression level of the membrane protein ABCA1.

Main Results:

  • The protocol successfully maintained up to 90% of the viable cell population within the gating area.
  • Demonstrated effective adipocyte selection and membrane protein assessment.
  • The method requires smaller tissue samples, enhancing feasibility and cost-effectiveness.

Conclusions:

  • This optimized flow cytometry protocol offers a robust and efficient approach for studying adipocyte membrane characteristics.
  • The method improves cell viability and analytical accuracy for adipocytes, especially in challenging sample types.
  • This advancement facilitates better research into adipocyte function and related metabolic conditions.