The C‐terminal domain of the Spt16 subunit of FACT affects transcription elongation
Bibliographic record
Abstract
In the budding yeast S. cerevisiae , the abundant nuclear complex FACT ( F acilitates C hromatin T ransactions) is a heterodimer of two essential proteins: Spt16 and Pob3. FACT is highly conserved among eukaryotes, and has been implicated in transcription, DNA replication and DNA repair. To learn more about the roles FACT plays in these processes, genome‐wide synthetic‐lethal analysis of several mutant alleles of SPT16 was carried out. These mutant alleles were all identified by a dominant Spt ¯ phenotype, yet they yielded radically different patterns of genetic interactions. Those alleles that display interactions with genes involved in transcription elongation all contain mutations affecting the C‐terminal portion of Spt16; this clustering of mutations may identify a region of Spt16 responsible for the proposed histone‐chaperone activity of FACT. Further studies with one mutant allele that affects the C‐terminal domain, spt16‐E857K , demonstrate that this mutant protein interacts more weakly with histone H2B than does wild‐type Spt16 or a mutant Spt16 without C‐terminal‐domain alterations. We therefore propose a model in which weakened interactions between FACT and histones negatively affects transcription elongation. This work has been supported by the Natural Sciences and Engineering Research Council (NSERC) and the Canadian Institutes for Health Reseach (CIHR).
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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) | 0.000 | 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) | 0.001 | 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 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".