FB2026_02 , released June 18, 2026
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Citation
Lepeta, K., Roubinet, C., Bauer, M., Vigano, M.A., Aguilar, G., Kanca, O., Ochoa-Espinosa, A., Bieli, D., Cabernard, C., Caussinus, E., Affolter, M. (2022). Engineered kinases as a tool for phosphorylation of selected targets in vivo.  J. Cell Biol. 221(10): e202106179.
FlyBase ID
FBrf0254523
Publication Type
Research paper
Abstract
Reversible protein phosphorylation by kinases controls a plethora of processes essential for the proper development and homeostasis of multicellular organisms. One main obstacle in studying the role of a defined kinase-substrate interaction is that kinases form complex signaling networks and most often phosphorylate multiple substrates involved in various cellular processes. In recent years, several new approaches have been developed to control the activity of a given kinase. However, most of them fail to regulate a single protein target, likely hiding the effect of a unique kinase-substrate interaction by pleiotropic effects. To overcome this limitation, we have created protein binder-based engineered kinases that permit a direct, robust, and tissue-specific phosphorylation of fluorescent fusion proteins in vivo. We show the detailed characterization of two engineered kinases based on Rho-associated protein kinase (ROCK) and Src. Expression of synthetic kinases in the developing fly embryo resulted in phosphorylation of their respective GFP-fusion targets, providing for the first time a means to direct the phosphorylation to a chosen and tagged target in vivo. We presume that after careful optimization, the novel approach we describe here can be adapted to other kinases and targets in various eukaryotic genetic systems to regulate specific downstream effectors.
PubMed ID
PubMed Central ID
PMC9477969 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    J. Cell Biol.
    Title
    Journal of Cell Biology
    Publication Year
    1966-
    ISBN/ISSN
    0021-9525
    Data From Reference
    Alleles (37)
    Genes (10)
    Cell Lines (1)
    Natural transposons (2)
    Insertions (23)
    Experimental Tools (6)
    Transgenic Constructs (36)