Identification and Characterization of Elf1, a Conserved Transcription Elongation Factor in <i>Saccharomyces cerevisiae</i>
Bibliographic record
Abstract
In order to identify previously unknown transcription elongation factors, a genetic screen was carried out to identify mutations that cause lethality when combined with mutations in the genes encoding the elongation factors TFIIS and Spt6. This screen identified a mutation in YKL160W, hereafter named ELF1 (elongation factor 1). Further analysis identified synthetic lethality between an elf1Delta mutation and mutations in genes encoding several known elongation factors, including Spt4, Spt5, Spt6, and members of the Paf1 complex. Genome-wide synthetic lethality studies confirmed that elf1Delta specifically interacts with mutations in genes affecting transcription elongation. Chromatin immunoprecipitation experiments show that Elf1 is cotranscriptionally recruited over actively transcribed regions and that this association is partially dependent on Spt4 and Spt6. Analysis of elf1Delta mutants suggests a role for this factor in maintaining proper chromatin structure in regions of active transcription. Finally, purification of Elf1 suggests an association with casein kinase II, previously implicated in roles in transcription. Together, these results suggest an important role for Elf1 in the regulation of transcription elongation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".