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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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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). |
format | Online Article Text |
id | pubmed-6319608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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