Evidence map›Paper›PMID 32449603›Full record

ArticleMolecular systems biology2020

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

Siyu Sun, Anastasia Baryshnikova, Nathan Brandt, David Gresham

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Quiescence inAnnual review of genetics · 2022
    Review
  12. International journal of molecular sciences · 2022
    Review
  13. Article
  14. Genetic Interaction betweenInternational journal of molecular sciences · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Cellular quiescence in budding yeast.Yeast (Chichester, England) · 2021
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Siyu SunCenter for Genomics and Systems Biology, New York University, New York, NY, USA.
Anastasia BaryshnikovaCalico Life Science LLC, South San Francisco, CA, USA.
Nathan BrandtCenter for Genomics and Systems Biology, New York University, New York, NY, USA.
David GreshamCenter for Genomics and Systems Biology, New York University, New York, NY, USA.ORCID 0000-0002-4028-0364
New York University · US

Funding

Regulation of Quiescence in Eukaryotic CellsR01GM107466 · NIGMS · NEW YORK UNIVERSITY · PI GRESHAM, DAVID · 2013 to 2022
$3.0M
NIGMS NIH HHS R01 GM107466
6 · The paper itself

Abstract

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.

Indexed as

Caloric RestrictionCell SurvivalCyclin-Dependent KinasesEpistasis, GeneticGene DeletionGene Expression Regulation, FungalGene OntologyGene Regulatory NetworksGenetic FitnessGenome-Wide Association StudyGenotypeMutationPhenotypePhosphatidylinositol 3-KinasesProtein KinasesSaccharomyces cerevisiaeCyclin-Dependent KinasesPHO85 protein, S cerevisiaePhosphatidylinositol 3-KinasesProtein KinasesRim15 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsTOR1 protein, S cerevisiaechronological aginggenetic interactionnutrient starvationquiescencesignaling kinase

Identifiers

PMID32449603
PMCPMC7247079
OpenAlexW3026097834

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.