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Time-resolved mapping of genetic interactions to model rewiring of signaling pathways

Context-dependent changes in genetic interactions are an important feature of cellular pathways and their varying responses under different environmental conditions. However, methodological frameworks to investigate the plasticity of genetic interaction networks over time or in response to external...

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Autores principales: Heigwer, Florian, Scheeder, Christian, Miersch, Thilo, Schmitt, Barbara, Blass, Claudia, Pour Jamnani, Mischan Vali, Boutros, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319608/
https://www.ncbi.nlm.nih.gov/pubmed/30592458
http://dx.doi.org/10.7554/eLife.40174
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author Heigwer, Florian
Scheeder, Christian
Miersch, Thilo
Schmitt, Barbara
Blass, Claudia
Pour Jamnani, Mischan Vali
Boutros, Michael
author_facet Heigwer, Florian
Scheeder, Christian
Miersch, Thilo
Schmitt, Barbara
Blass, Claudia
Pour Jamnani, Mischan Vali
Boutros, Michael
author_sort Heigwer, Florian
collection PubMed
description Context-dependent changes in genetic interactions are an important feature of cellular pathways and their varying responses under different environmental conditions. However, methodological frameworks to investigate the plasticity of genetic interaction networks over time or in response to external stresses are largely lacking. To analyze the plasticity of genetic interactions, we performed a combinatorial RNAi screen in Drosophila cells at multiple time points and after pharmacological inhibition of Ras signaling activity. Using an image-based morphology assay to capture a broad range of phenotypes, we assessed the effect of 12768 pairwise RNAi perturbations in six different conditions. We found that genetic interactions form in different trajectories and developed an algorithm, termed MODIFI, to analyze how genetic interactions rewire over time. Using this framework, we identified more statistically significant interactions compared to end-point assays and further observed several examples of context-dependent crosstalk between signaling pathways such as an interaction between Ras and Rel which is dependent on MEK activity. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).
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spelling pubmed-63196082019-01-09 Time-resolved mapping of genetic interactions to model rewiring of signaling pathways Heigwer, Florian Scheeder, Christian Miersch, Thilo Schmitt, Barbara Blass, Claudia Pour Jamnani, Mischan Vali Boutros, Michael eLife Computational and Systems Biology Context-dependent changes in genetic interactions are an important feature of cellular pathways and their varying responses under different environmental conditions. However, methodological frameworks to investigate the plasticity of genetic interaction networks over time or in response to external stresses are largely lacking. To analyze the plasticity of genetic interactions, we performed a combinatorial RNAi screen in Drosophila cells at multiple time points and after pharmacological inhibition of Ras signaling activity. Using an image-based morphology assay to capture a broad range of phenotypes, we assessed the effect of 12768 pairwise RNAi perturbations in six different conditions. We found that genetic interactions form in different trajectories and developed an algorithm, termed MODIFI, to analyze how genetic interactions rewire over time. Using this framework, we identified more statistically significant interactions compared to end-point assays and further observed several examples of context-dependent crosstalk between signaling pathways such as an interaction between Ras and Rel which is dependent on MEK activity. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter). eLife Sciences Publications, Ltd 2018-12-28 /pmc/articles/PMC6319608/ /pubmed/30592458 http://dx.doi.org/10.7554/eLife.40174 Text en © 2018, Heigwer et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Heigwer, Florian
Scheeder, Christian
Miersch, Thilo
Schmitt, Barbara
Blass, Claudia
Pour Jamnani, Mischan Vali
Boutros, Michael
Time-resolved mapping of genetic interactions to model rewiring of signaling pathways
title Time-resolved mapping of genetic interactions to model rewiring of signaling pathways
title_full Time-resolved mapping of genetic interactions to model rewiring of signaling pathways
title_fullStr Time-resolved mapping of genetic interactions to model rewiring of signaling pathways
title_full_unstemmed Time-resolved mapping of genetic interactions to model rewiring of signaling pathways
title_short Time-resolved mapping of genetic interactions to model rewiring of signaling pathways
title_sort time-resolved mapping of genetic interactions to model rewiring of signaling pathways
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6319608/
https://www.ncbi.nlm.nih.gov/pubmed/30592458
http://dx.doi.org/10.7554/eLife.40174
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