Ell, C.M., Safyan, A., Chayengia, M., Kustermann, M.M.M., Lorenz, J., Schächtle, M., Pyrowolakis, G. (2024). A genome-engineered tool set for Drosophila TGF-β/BMP signaling studies. Development 151(22): dev204222.
FlyBase ID
FBrf0260932
Publication Type
Research paper
Abstract
Ligands of the TGF-β/BMP superfamily are crucially involved in the regulation of growth, patterning and organogenesis and can act as long-range morphogens. Essential for understanding TGF-β/BMP signaling dynamics and regulation are tools that allow monitoring and manipulating pathway components at physiological expression levels and endogenous spatiotemporal patterns. We used genome engineering to generate a comprehensive library of endogenously epitope- or fluorescent-tagged versions of receptors, co-receptors, transcription factors and key feedback regulators of the Drosophila BMP and Activin signaling pathways. We demonstrate that the generated alleles are biologically active and can be used for assessing tissue and subcellular distribution of the corresponding proteins. Furthermore, we show that the genomic platforms can be used for in locus structure-function and cis-regulatory analyses. Finally, we present a complementary set of protein binder-based tools, which allow visualization as well as manipulation of the stability and subcellular localization of epitope-tagged proteins, providing new tools for the analysis of BMP signaling and beyond.
