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Generation of a versatile BiFC ORFeome library for analyzing protein-protein interactions in live


Bischof, Johannes; Duffraisse, Marilyne; Furger, Edy; Ajuria, Leiore; Giraud, Guillaume; Vanderperre, Solene; Paul, Rachel; Björklund, Mikael; Ahr, Damien; Ahmed, Alexis W; Spinelli, Lionel; Brun, Christine; Basler, Konrad; Merabet, Samir (2018). Generation of a versatile BiFC ORFeome library for analyzing protein-protein interactions in live. eLife, 7:e38853.

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 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 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 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.

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 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 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 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.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:24 September 2018
Deposited On:15 Feb 2019 15:57
Last Modified:15 Feb 2019 15:57
Publisher:eLife Sciences Publications Ltd.
ISSN:2050-084X
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.7554/eLife.38853
PubMed ID:30247122

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