FB2024_04 , released June 25, 2024
Reference Report
Open Close
Reference
Citation
Baron, M.N., Klinger, C.M., Rachubinski, R.A., Simmonds, A.J. (2016). A Systematic Cell-Based Analysis of Localization of Predicted Drosophila Peroxisomal Proteins.  Traffic 17(5): 536--553.
FlyBase ID
FBrf0232128
Publication Type
Research paper
Abstract
Peroxisomes are membrane-bound organelles found in almost all eukaryotic cells. They perform specialized biochemical functions that vary with organism, tissue or cell type. Mutations in human genes required for the assembly of peroxisomes result in a spectrum of diseases called the peroxisome biogenesis disorders. A previous sequence-based comparison of the predicted proteome of Drosophila melanogaster (the fruit fly) to human proteins identified 82 potential homologues of proteins involved in peroxisomal biogenesis, homeostasis or metabolism. However, the subcellular localization of these proteins relative to the peroxisome was not determined. Accordingly, we tested systematically the localization and selected functions of epitope-tagged proteins in Drosophila Schneider 2 cells to determine the subcellular localization of 82 potential Drosophila peroxisomal protein homologues. Excluding the Pex proteins, 34 proteins localized primarily to the peroxisome, 8 showed dual localization to the peroxisome and other structures, and 26 localized exclusively to organelles other than the peroxisome. Drosophila is a well-developed laboratory animal often used for discovery of gene pathways, including those linked to human disease. Our work establishes a basic understanding of peroxisome protein localization in Drosophila. This will facilitate use of Drosophila as a genetically tractable, multicellular model system for studying key aspects of human peroxisome disease.
PubMed ID
PubMed Central ID
Associated Information
Comments
Associated Files
Other Information
Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Traffic
    Title
    Traffic
    Publication Year
    2000-
    ISBN/ISSN
    1398-9219
    Data From Reference