The Rtt106 Histone Chaperone Is Functionally Linked to Transcription Elongation and Is Involved in the Regulation of Spurious Transcription from Cryptic Promoters in Yeast*♦
Bibliographic record
Abstract
Rtt106 is a histone chaperone that has been suggested to play a role in heterochromatin-mediated silencing in Saccharomyces cerevisiae. It interacts physically and functionally with the chromatin assembly factor-1 (CAF-1), which is associated with replication-coupled nucleosomal deposition. In this work, we have taken several approaches to study Rtt106 in greater detail and have identified a previously unknown function of Rtt106. We found genetic interactions between rtt106Delta and mutations in genes encoding transcription elongation factors, including Spt6, TFIIS, and members of the PAF and yeast DSIF complexes. In addition, chromatin immunoprecipitation analysis indicates that Rtt106 is associated with transcribed regions of active genes. Furthermore, our results show that Rtt106 is required for the repression of transcription from a cryptic promoter within a coding region. This observation strongly suggests that Rtt106 is involved in the regulation of chromatin structure of transcribed regions. Finally, we provide evidence that Rtt106 plays a role in regulating the levels of histone H3 transcription-coupled deposition over transcribed regions. Taken together, our results indicate a direct link for Rtt106 with transcription elongation and the chromatin dynamics associated with RNA polymerase II passage.
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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 | 0.001 |
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".