Generation of a versatile BiFC ORFeome library for analyzing protein-protein interactions in live Drosophila
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.
Data availability
Fly lines generated for the project have been deposited to the FlyORF library and are available upon request to FlyORF (https://flyorf.ch/index.php/orf-collection). The numerical, processed data used for this study is provided in the manuscript, figures and supplementary files.
Article and author information
Author details
Funding
Fondation pour la Recherche Médicale (1122556)
- Johannes Bischof
- Marilyne Duffraisse
- Edy Furger
- Leiore Ajuria
- Guillaume Giraud
- Solene Vanderperre
- Rachel Paul
- Samir Merabet
Cefipra
- Johannes Bischof
- Marilyne Duffraisse
- Edy Furger
- Leiore Ajuria
- Guillaume Giraud
- Solene Vanderperre
- Rachel Paul
- Samir Merabet
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2018, Bischof et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 46
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Citations by DOI
-
- 46
- citations for umbrella DOI https://doi.org/10.7554/eLife.38853