Related Experiment Video
Updated: Apr 4, 2026
Exploring the Regulation of Lipid Droplet Catabolism through Lipophagy
Published on: January 31, 2025
LipiD-QuanT: a novel method to quantify lipid accumulation in live cells.
Hilal Varinli1, Megan J Osmond-McLeod2, Peter L Molloy3
1CSIRO Food and Nutrition Flagship, North Ryde, New South Wales, Australia Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, Australia Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
A new label-free method, LipiD-QuanT, quantifies lipid droplets during human adipogenesis. This robust technique effectively measures lipid dynamics and assesses the impact of potential obesogenic substances.
Area of Science:
- Cell Biology
- Metabolic Diseases
- Biotechnology
Background:
- Lipid droplets (LDs) are crucial triglyceride storage organelles, central to understanding obesity and related metabolic disorders.
- Studying lipid accumulation during adipogenesis is vital, but current quantification methods are often destructive or lack precision.
- Existing techniques for measuring LD accumulation are insufficient for quantitative, non-destructive analysis.
Purpose of the Study:
- To introduce LipiD-QuanT, a novel, label-free technique for quantifying lipid droplet accumulation.
- To validate LipiD-QuanT as a robust, non-destructive, and cost-effective method for monitoring in vitro human adipogenesis.
- To assess the impact of specific compounds on lipid dynamics during adipogenesis using LipiD-QuanT.
Main Methods:
- Development of LipiD-QuanT, a label-free quantification technique based on automated image analysis.
- Application of LipiD-QuanT to phase contrast microscopy images of differentiating human Simpson-Golabi-Behmel syndrome (SGBS) preadipocytes.
- Comparative analysis of LipiD-QuanT against traditional triglyceride assays (enzymatic digest, lipophilic staining).
Main Results:
- LipiD-QuanT provides a robust, non-destructive, time-, and cost-effective alternative for LD quantification.
- The method successfully monitored LD accumulation during SGBS cell differentiation.
- Rosiglitazone treatment (2 µmol/l) reduced lipid production and altered LD size distribution; DHA, D-glucose, and zinc oxide nanoparticles showed no significant effect under tested conditions.
Conclusions:
- LipiD-QuanT is a valuable tool for quantitative, label-free monitoring of lipid dynamics in adipogenesis.
- The technique offers a significant advancement over existing methods for studying lipid metabolism.
- LipiD-QuanT can be utilized to screen potential obesogenic or anti-obesogenic compounds effectively.
