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Record W3204811208 · doi:10.30683/1927-7229.2020.09.05

A Yeast Mutant Screen Identifies TORC and Lys63 Polyubiquitination Pathway Genes among Determinants of Sensitivity to the Cancer Stem Cell-Specific Drug Salinomycin

2021· article· en· W3204811208 on OpenAlexvenueno aff
Donald Rozario, Sammer Zeglam, Wolfram Siede

Bibliographic record

VenueJournal of Analytical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsnot available
Fundersnot available
KeywordsSaccharomyces cerevisiaeMutantBiologyYeastCancer cellBiochemistryCancerGeneGenetics

Abstract

fetched live from OpenAlex

The antibiotic salinomycin (SM) acts as a selective potassium ionophore. In budding yeast (Saccharomyces cerevisiae), we describe that the agent inhibits cell growth, elevates reactive oxygen species (ROS) levels and prominently causes mitochondrial damage, as revealed by the emergence of perpetually respiration-defective cells. The collection of systematic gene deletions in haploid yeast was screened to characterize genes whose deletion confers SM sensitivity or resistance if glycerol is provided as the only carbon source, thus requiring active respiration for growth. Mutants conferring the highest SM resistance were those of the Mms2-Ubi13 E2-ubiquitin conjugating enzyme (Lys63 polyubiquitination) and the TORC pathway, such as Sch9. Sch9 phosphorylation is reduced after SM treatment and, whereas initial SM-enhanced ROS levels are not diminished in the mutant, we suggest that a protective response is mounted in the absence of Sch9 that promotes mitochondrial stability under conditions of potassium ion loss. As indicated by other isolated mutants with altered SM sensitivity, levels and modifications of ribosomal proteins may also play a role in these responses. SM has attracted considerable attention due to its cancer stem-cell specific mode of action. Even if not all of its cancer stem cell targets may have an equivalent in yeast, these studies may suggest strategies for mitigating its side effects during treatment of cancer patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.315
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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