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Record W2784983097 · doi:10.22215/etd/2017-12159

A Genomic Screen of Saccharomyces cerevisiae Reveals a Potential Link Between Nonstop Decay and Autophagy

2017· dissertation· en· W2784983097 on OpenAlexaff
Thomas Kazmirchuk

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsCarleton University
Fundersnot available
KeywordsNonStopAutophagySaccharomyces cerevisiaeAbundance (ecology)Messenger RNAGeneBiologyCell biologyGeneticsChemistryComputer scienceEcologyDatabase

Abstract

fetched live from OpenAlex

Little has been described about the mechanisms of the Nonstop Decay (NSD) pathway.To discover new genes involved in NSD, we performed a genome wide investigation in Saccharomyces cerevisiae which yielded 446 gene candidates that when deleted, allowed production of a nonstop mRNA.Of the gene families found in our screen, we decided to follow up on the autophagy candidates.First, we used the autophagy inhibiting drug verteporfin to confirm that autophagy does not occur in our candidates.The results confirm our prediction that autophagy is inhibited in our two autophagy candidates.Next, we assessed the abundance of nonstop mRNA using qRT-PCR analysis.This resulted in lower than expected nonstop mRNA abundance relative to the WT, which led us to investigate nonstop protein abundance.Interestingly, we see an increase in the abundance of nonstop protein abundance relative to the WT.Together, our results suggest that NSD may occur through autophagy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.013
GPT teacher head0.301
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes1
Has abstractyes

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