FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Ivatt, R.M., Sanchez-Martinez, A., Godena, V.K., Brown, S., Ziviani, E., Whitworth, A.J. (2014). Genome-wide RNAi screen identifies the Parkinson disease GWAS risk locus SREBF1 as a regulator of mitophagy.  Proc. Natl. Acad. Sci. U.S.A. 111(23): 8494--8499.
FlyBase ID
FBrf0226429
Publication Type
Research paper
Abstract
Genetic analysis of Parkinson disease (PD) has identified several genes whose mutation causes inherited parkinsonism, as well as risk loci for sporadic PD. PTEN-induced kinase 1 (PINK1) and parkin, linked to autosomal recessive PD, act in a common genetic pathway regulating the autophagic degradation of mitochondria, termed mitophagy. We undertook a genome-wide RNAi screen as an unbiased approach to identify genes regulating the PINK1/Parkin pathway. We identified several genes that have a conserved function in promoting mitochondrial translocation of Parkin and subsequent mitophagy, most notably sterol regulatory element binding transcription factor 1 (SREBF1), F-box and WD40 domain protein 7 (FBXW7), and other components of the lipogenesis pathway. The relevance of mechanisms of autosomal recessive parkinsonism to sporadic PD has long been debated. However, with the recent identification of SREBF1 as a risk locus for sporadic PD, our findings suggest a common mechanistic link between autosomal recessive and sporadic PD, and underscore the importance of mitochondrial homeostasis.
PubMed ID
PubMed Central ID
PMC4060696 (PMC) (EuropePMC)
Related Publication(s)
Note

SREBF1 links lipogenesis to mitophagy and sporadic Parkinson disease.
Ivatt and Whitworth, 2014, Autophagy 10(8): 1476--1477 [FBrf0225762]

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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Proc. Natl. Acad. Sci. U.S.A.
    Title
    Proceedings of the National Academy of Sciences of the United States of America
    Publication Year
    1915-
    ISBN/ISSN
    0027-8424
    Data From Reference
    Genes (5)
    Human Disease Models (3)
    Cell Lines (1)