A map of directional genetic interactions in a metazoan cell

Gene–gene interactions shape complex phenotypes and modify the effects of mutations during development and disease. The effects of statistical gene–gene interactions on phenotypes have been used to assign genes to functional modules. However, directional, epistatic interactions, which reflect regula...

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Main Authors: Bernd Fischer, Thomas Sandmann, Thomas Horn, Maximilian Billmann, Varun Chaudhary, Wolfgang Huber, Michael Boutros
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2015-03-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/05464
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author Bernd Fischer
Thomas Sandmann
Thomas Horn
Maximilian Billmann
Varun Chaudhary
Wolfgang Huber
Michael Boutros
author_facet Bernd Fischer
Thomas Sandmann
Thomas Horn
Maximilian Billmann
Varun Chaudhary
Wolfgang Huber
Michael Boutros
author_sort Bernd Fischer
collection DOAJ
description Gene–gene interactions shape complex phenotypes and modify the effects of mutations during development and disease. The effects of statistical gene–gene interactions on phenotypes have been used to assign genes to functional modules. However, directional, epistatic interactions, which reflect regulatory relationships between genes, have been challenging to map at large-scale. Here, we used combinatorial RNA interference and automated single-cell phenotyping to generate a large genetic interaction map for 21 phenotypic features of Drosophila cells. We devised a method that combines genetic interactions on multiple phenotypes to reveal directional relationships. This network reconstructed the sequence of protein activities in mitosis. Moreover, it revealed that the Ras pathway interacts with the SWI/SNF chromatin-remodelling complex, an interaction that we show is conserved in human cancer cells. Our study presents a powerful approach for reconstructing directional regulatory networks and provides a resource for the interpretation of functional consequences of genetic alterations.
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spelling doaj.art-041f5fa32d464532bec0192fb7eb5ee02022-12-22T04:32:43ZengeLife Sciences Publications LtdeLife2050-084X2015-03-01410.7554/eLife.05464A map of directional genetic interactions in a metazoan cellBernd Fischer0https://orcid.org/0000-0001-9437-2099Thomas Sandmann1Thomas Horn2Maximilian Billmann3Varun Chaudhary4Wolfgang Huber5Michael Boutros6Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, GermanyDivision of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Cell and Molecular Biology, Faculty of Medicine Mannheim, Heidelberg University, Heidelberg, GermanyDivision of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Cell and Molecular Biology, Faculty of Medicine Mannheim, Heidelberg University, Heidelberg, GermanyDivision of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Cell and Molecular Biology, Faculty of Medicine Mannheim, Heidelberg University, Heidelberg, GermanyDivision of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Cell and Molecular Biology, Faculty of Medicine Mannheim, Heidelberg University, Heidelberg, GermanyGenome Biology Unit, European Molecular Biology Laboratory, Heidelberg, GermanyDivision of Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Cell and Molecular Biology, Faculty of Medicine Mannheim, Heidelberg University, Heidelberg, GermanyGene–gene interactions shape complex phenotypes and modify the effects of mutations during development and disease. The effects of statistical gene–gene interactions on phenotypes have been used to assign genes to functional modules. However, directional, epistatic interactions, which reflect regulatory relationships between genes, have been challenging to map at large-scale. Here, we used combinatorial RNA interference and automated single-cell phenotyping to generate a large genetic interaction map for 21 phenotypic features of Drosophila cells. We devised a method that combines genetic interactions on multiple phenotypes to reveal directional relationships. This network reconstructed the sequence of protein activities in mitosis. Moreover, it revealed that the Ras pathway interacts with the SWI/SNF chromatin-remodelling complex, an interaction that we show is conserved in human cancer cells. Our study presents a powerful approach for reconstructing directional regulatory networks and provides a resource for the interpretation of functional consequences of genetic alterations.https://elifesciences.org/articles/05464genetic interactionepistasisimage-based phenotyping
spellingShingle Bernd Fischer
Thomas Sandmann
Thomas Horn
Maximilian Billmann
Varun Chaudhary
Wolfgang Huber
Michael Boutros
A map of directional genetic interactions in a metazoan cell
eLife
genetic interaction
epistasis
image-based phenotyping
title A map of directional genetic interactions in a metazoan cell
title_full A map of directional genetic interactions in a metazoan cell
title_fullStr A map of directional genetic interactions in a metazoan cell
title_full_unstemmed A map of directional genetic interactions in a metazoan cell
title_short A map of directional genetic interactions in a metazoan cell
title_sort map of directional genetic interactions in a metazoan cell
topic genetic interaction
epistasis
image-based phenotyping
url https://elifesciences.org/articles/05464
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