Faculty Opinions recommendation of The histone variant H3.3 regulates gene expression during lytic infection with herpes simplex virus type 1.
Bibliographic record
Abstract
It has been proposed that incorporation of the histone variant H3.3 within actively transcribed regions of a genome helps to facilitate transcription. In this report we use lytic infection by herpes simplex virus type 1 (HSV-1) as a model to examine the temporal profile of histone H3 incorporation and to determine whether the variant histone H3.3 has a direct effect on transcription. We find that canonical H3.1 and variant H3.3 exhibit distinct temporal associations with the genome in cell lines expressing equal amounts of epitope-tagged H3 variants. At the earliest times examined after infection, the HSV-1 genome is incorporated into chromatin that predominantly contains the variant H3.3, whereas incorporation of canonical H3.1 occurs later in infection and is dependent on replication of the HSV-1 genome. Further, inhibition of H3.3 association, via reduced expression of the H3.3 chaperone HIRA, significantly reduces the levels of HSV-1 mRNA. These findings show that incorporation of H3.3 facilitates transcription, and they provide new evidence for a regulatory role of chromatin composition during HSV-1 acute infection. PMID: 19004946
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 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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.017 |
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".