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


Journal

Molecular systems biology
ISSN: 1744-4292
Titre abrégé: Mol Syst Biol
Pays: England
ID NLM: 101235389

Informations de publication

Date de publication:
05 2020
Historique:
received: 14 08 2019
revised: 18 03 2020
accepted: 31 03 2020
entrez: 26 5 2020
pubmed: 26 5 2020
medline: 1 5 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32449603
doi: 10.15252/msb.20199167
pmc: PMC7247079
doi:

Substances chimiques

Saccharomyces cerevisiae Proteins 0
Protein Kinases EC 2.7.-
Rim15 protein, S cerevisiae EC 2.7.1.-
TOR1 protein, S cerevisiae EC 2.7.1.137
Cyclin-Dependent Kinases EC 2.7.11.22
PHO85 protein, S cerevisiae EC 2.7.11.22

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e9167

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM107466
Pays : United States

Informations de copyright

© 2020 The Authors. Published under the terms of the CC BY 4.0 license.

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Auteurs

Siyu Sun (S)

Center for Genomics and Systems Biology, New York University, New York, NY, USA.
Department of Biology, New York University, New York, NY, USA.

Anastasia Baryshnikova (A)

Calico Life Science LLC, South San Francisco, CA, USA.

Nathan Brandt (N)

Center for Genomics and Systems Biology, New York University, New York, NY, USA.
Department of Biology, New York University, New York, NY, USA.

David Gresham (D)

Center for Genomics and Systems Biology, New York University, New York, NY, USA.
Department of Biology, New York University, New York, NY, USA.

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Classifications MeSH