FB2024_03 , released June 25, 2024
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Citation
Chai, A., Mateus, A.M., Oozeer, F., Sousa-Nunes, R. (2018). Spatiotemporally controlled genetic perturbation for efficient large-scale studies of cell non-autonomous effects.  eLife 7(): e38393.
FlyBase ID
FBrf0241105
Publication Type
Research paper
Abstract
Studies in genetic model organisms have revealed much about the development and pathology of complex tissues. Most have focused on cell-intrinsic gene functions and mechanisms. Much less is known about how transformed, or otherwise functionally disrupted, cells interact with healthy ones toward a favorable or pathological outcome. This is largely due to technical limitations. We developed new genetic tools in Drosophila melanogaster that permit efficient multiplexed gain- and loss-of-function genetic perturbations with separable spatial and temporal control. Importantly, our novel tool-set is independent of the commonly used GAL4/UAS system, freeing the latter for additional, non-autonomous, genetic manipulations; and is built into a single strain, allowing one-generation interrogation of non-autonomous effects. Altogether, our design opens up efficient genome-wide screens on any deleterious phenotype, once plasmid or genome engineering is used to place the desired miRNA(s) or ORF(s) into our genotype. Specifically, we developed tools to study extrinsic effects on neural tumor growth but the strategy presented has endless applications within and beyond neurobiology, and in other model organisms.
PubMed ID
PubMed Central ID
PMC6320068 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    eLife
    Title
    eLife
    ISBN/ISSN
    2050-084X
    Data From Reference
    Alleles (44)
    Genes (8)
    Sequence Features (8)
    Natural transposons (1)
    Insertions (29)
    Experimental Tools (8)
    Transgenic Constructs (40)