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Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states

Cell growth and quiescence in eukaryotic cells is controlled by an evolutionarily conserved network of signaling pathways. Signal transduction networks operate to modulate a wide range of cellular processes and physiological properties when cells exit proliferative growth and initiate a quiescent st...

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Autores principales: Sun, Siyu, Baryshnikova, Anastasia, Brandt, Nathan, Gresham, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7247079/
https://www.ncbi.nlm.nih.gov/pubmed/32449603
http://dx.doi.org/10.15252/msb.20199167
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author Sun, Siyu
Baryshnikova, Anastasia
Brandt, Nathan
Gresham, David
author_facet Sun, Siyu
Baryshnikova, Anastasia
Brandt, Nathan
Gresham, David
author_sort Sun, Siyu
collection PubMed
description Cell growth and quiescence in eukaryotic cells is controlled by an evolutionarily conserved network of signaling pathways. Signal transduction networks operate to modulate a wide range of cellular processes and physiological properties when cells exit proliferative growth and initiate a quiescent state. How signaling networks function to respond to diverse signals that result in cell cycle exit and establishment of a quiescent state is poorly understood. Here, we studied the function of signaling pathways in quiescent cells using global genetic interaction mapping in the model eukaryotic cell, Saccharomyces cerevisiae (budding yeast). We performed pooled analysis of genotypes using molecular barcode sequencing (Bar‐seq) to test the role of ~4,000 gene deletion mutants and ~12,000 pairwise interactions between all non‐essential genes and the protein kinase genes TOR1,RIM15, and PHO85 in three different nutrient‐restricted conditions in both proliferative and quiescent cells. We detect up to 10‐fold more genetic interactions in quiescent cells than proliferative cells. We find that both individual gene effects and genetic interaction profiles vary depending on the specific pro‐quiescence signal. The master regulator of quiescence, RIM15, shows distinct genetic interaction profiles in response to different starvation signals. However, vacuole‐related functions show consistent genetic interactions with RIM15 in response to different starvation signals, suggesting that RIM15 integrates diverse signals to maintain protein homeostasis in quiescent cells. Our study expands genome‐wide genetic interaction profiling to additional conditions, and phenotypes, and highlights the conditional dependence of epistasis.
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spelling pubmed-72470792020-05-27 Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states Sun, Siyu Baryshnikova, Anastasia Brandt, Nathan Gresham, David Mol Syst Biol Articles Cell growth and quiescence in eukaryotic cells is controlled by an evolutionarily conserved network of signaling pathways. Signal transduction networks operate to modulate a wide range of cellular processes and physiological properties when cells exit proliferative growth and initiate a quiescent state. How signaling networks function to respond to diverse signals that result in cell cycle exit and establishment of a quiescent state is poorly understood. Here, we studied the function of signaling pathways in quiescent cells using global genetic interaction mapping in the model eukaryotic cell, Saccharomyces cerevisiae (budding yeast). We performed pooled analysis of genotypes using molecular barcode sequencing (Bar‐seq) to test the role of ~4,000 gene deletion mutants and ~12,000 pairwise interactions between all non‐essential genes and the protein kinase genes TOR1,RIM15, and PHO85 in three different nutrient‐restricted conditions in both proliferative and quiescent cells. We detect up to 10‐fold more genetic interactions in quiescent cells than proliferative cells. We find that both individual gene effects and genetic interaction profiles vary depending on the specific pro‐quiescence signal. The master regulator of quiescence, RIM15, shows distinct genetic interaction profiles in response to different starvation signals. However, vacuole‐related functions show consistent genetic interactions with RIM15 in response to different starvation signals, suggesting that RIM15 integrates diverse signals to maintain protein homeostasis in quiescent cells. Our study expands genome‐wide genetic interaction profiling to additional conditions, and phenotypes, and highlights the conditional dependence of epistasis. John Wiley and Sons Inc. 2020-05-25 /pmc/articles/PMC7247079/ /pubmed/32449603 http://dx.doi.org/10.15252/msb.20199167 Text en © 2020 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Sun, Siyu
Baryshnikova, Anastasia
Brandt, Nathan
Gresham, David
Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states
title Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states
title_full Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states
title_fullStr Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states
title_full_unstemmed Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states
title_short Genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states
title_sort genetic interaction profiles of regulatory kinases differ between environmental conditions and cellular states
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7247079/
https://www.ncbi.nlm.nih.gov/pubmed/32449603
http://dx.doi.org/10.15252/msb.20199167
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