ArticleJournal of visualized experiments : JoVE2016
A Buoyancy-based Method of Determining Fat Levels in Drosophila.
Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Credit to the Fruit Fly: How the Tiny Insect Lights Up Our Understanding of Human Disease.Insects · 2026Review
- Interaction between neuromuscular junction metabolic requirements in fragile X syndrome and glycogen storage disease models.Disease models & mechanisms · 2025Article
- A novelFly · 2024Article
- Larval density can be used to predict genetic modifiers of glucagon signaling in Drosophila melanogaster.PloS one · 2024Article
- Article
- Inositol in Disease and Development: Roles of Catabolism viaInternational journal of molecular sciences · 2023Article
- Spenito-dependent metabolic sexual dimorphism intrinsic to fat storage cells.bioRxiv : the preprint server for biology · 2023Article
- Opposing effects of genetic variation in MTCH2 for obesity versus heart failure.Human molecular genetics · 2023Article
- Drosophila Keap1 xenobiotic response factor regulates developmental transcription through binding to chromatin.Developmental biology · 2022Article
- Regulated inositol synthesis is critical for balanced metabolism and development in Drosophila melanogaster.Biology open · 2021Article
- Functional Diversification, Redundancy, and Epistasis among Paralogs of the Drosophila melanogaster Obp50a-d Gene Cluster.Molecular biology and evolution · 2021Article
- Article
- TORC1 modulation in adipose tissue is required for organismal adaptation to hypoxia in Drosophila.Nature communications · 2019Article
- An autonomous metabolic role for Spen.PLoS genetics · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Drosophila melanogaster is a key experimental system in the study of fat regulation. Numerous techniques currently exist to measure levels of stored fat in Drosophila, but most are expensive and/or laborious and have clear limitations. Here, we present a method to quickly and cheaply determine organismal fat levels in L3 Drosophila larvae. The technique relies on the differences in density between fat and lean tissues and allows for rapid detection of fat and lean phenotypes. We have verified the accuracy of this method by comparison to body fat percentage as determined by neutral lipid extraction and gas chromatography coupled with mass spectrometry (GCMS). We furthermore outline detailed protocols for the collection and synchronization of larvae as well as relevant experimental recipes. The technique presented below overcomes the major shortcomings in the most widely used lipid quantitation methods and provides a powerful way to quickly and sensitively screen L3 larvae for fat regulation phenotypes while maintaining the integrity of the larvae. This assay has wide applications for the study of metabolism and fat regulation using Drosophila.
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