2. Academic Validation
  3. Quantification of Lipid Abundance and Evaluation of Lipid Distribution in Caenorhabditis elegans by Nile Red and Oil Red O Staining

Quantification of Lipid Abundance and Evaluation of Lipid Distribution in Caenorhabditis elegans by Nile Red and Oil Red O Staining

  • J Vis Exp. 2018 Mar 5;(133):57352. doi: 10.3791/57352.
Wilber Escorcia 1,  Dana L Ruter 2,  James Nhan 3,  Sean P Curran 4
Affiliations

Affiliations

  • 1 Leonard Davis School of Gerontology, University of Southern California.
  • 2 Leonard Davis School of Gerontology, University of Southern California; Molecular & Computational Biology Section, University of Southern California; Integrative Program for Biological & Genome Sciences, University of North Carolina at Chapel Hill.
  • 3 Leonard Davis School of Gerontology, University of Southern California; Molecular & Computational Biology Section, University of Southern California.
  • 4 Leonard Davis School of Gerontology, University of Southern California; Molecular & Computational Biology Section, University of Southern California; spcurran@usc.edu.
PMID: 29553519 DOI: 10.3791/57352
Abstract

Caenorhabditis elegans is an exceptional model organism in which to study lipid metabolism and energy homeostasis. Many of its lipid genes are conserved in humans and are associated with metabolic syndrome or Other Diseases. Examination of lipid accumulation in this organism can be carried out by fixative dyes or label-free methods. Fixative stains like Nile red and oil red O are inexpensive, reliable ways to quantitatively measure lipid levels and to qualitatively observe lipid distribution across tissues, respectively. Moreover, these stains allow for high-throughput screening of various lipid metabolism genes and pathways. Additionally, their hydrophobic nature facilitates lipid solubility, reduces interaction with surrounding tissues, and prevents dissociation into the solvent. Though these methods are effective at examining general lipid content, they do not provide detailed information about the chemical composition and diversity of lipid deposits. For these purposes, label-free methods such as GC-MS and CARS microscopy are better suited, their costs notwithstanding.

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