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Citation
Bischof, J., Duffraisse, M., Furger, E., Ajuria, L., Giraud, G., Vanderperre, S., Paul, R., Björklund, M., Ahr, D., Ahmed, A.W., Spinelli, L., Brun, C., Basler, K., Merabet, S. (2018). Generation of a versatile BiFC ORFeome library for analyzing protein-protein interactions in live Drosophila.  eLife 7(): e38853.
FlyBase ID
FBrf0240351
Publication Type
Research paper
Abstract
Transcription factors achieve specificity by establishing intricate interaction networks that will change depending on the cell context. Capturing these interactions in live condition is however a challenging issue that requires sensitive and non-invasive methods. We present a set of fly lines, called ‘multicolor BiFC library’, which covers most of the Drosophila transcription factors for performing Bimolecular Fluorescence Complementation (BiFC). The multicolor BiFC library can be used to probe two different binary interactions simultaneously and is compatible for large-scale interaction screens. The library can also be coupled with established Drosophila genetic resources to analyze interactions in the developmentally relevant expression domain of each protein partner. We provide proof of principle experiments of these various applications, using Hox proteins in the live Drosophila embryo as a case study. Overall this novel collection of ready-to-use fly lines constitutes an unprecedented genetic toolbox for the identification and analysis of protein-protein interactions in vivo.
PubMed ID
PubMed Central ID
PMC6177257 (PMC) (EuropePMC)
Related Publication(s)
Personal communication to FlyBase
Description of new FlyORF insertion lines designed for bimolecular fluorescence complementation (BiFC).
Bischof and FlyORF project members, 2019-, Description of new FlyORF insertion lines designed for bimolecular fluorescence complementation (BiFC). [FBrf0242739]
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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 (598)
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    Genes (458)
    Physical Interactions (376)
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    Datasets (4)
    Molecular Constructs (1)
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    Insertions (540)
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    Experimental Tools (7)
    Transgenic Constructs (558)
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