Identification of Saccharomyces cerevisiae genes leading to synthetic lethality of prion [PSI +] with SUP45 mutations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Previously, we proposed a test system allowing to perform search for genes that influence the properties of the Sup35 and Sup45 protein. This test is based on the phenomenon of lethality of diploids that combine mutations in SUP45 gene with [PSI+] prion. Lethality of this combination depends on the type of sup45 mutation, and the properties of the prion. [PSI+] variant, which is a strong suppressor ([PSI+]s), showing synthetic lethality with all the nonsense mutations and some missense sup45 mutations in the heterozygote state. The presence of extra copies of a gene under test that affects the phenotypic manifestation of prion [PSI+] or translation termination factors properties, leads to the increase or decrease in diploid lethality. Gene library screening using this test system allowed us to establish the effect of ten fragments of genomic DNA of yeast on synthetic lethality. Deletion analysis of these regions has led to the identification of the HLJ1 and TEF2 genes, as affecting Sup35 protein prionization and/or the efficiency of translation termination.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it