Psoralen photocrosslinking, a tool to study the chromatin structure of RNA polymerase I - transcribed ribosomal genes
Bibliographic record
Abstract
The chromatin structure of RNA polymerase I--transcribed ribosomal DNA (rDNA) is well characterized. In most organisms, i.e., lower eukaryotes, plants, and animals, only a fraction of ribosomal genes are transcriptionally active. At the chromatin level inactive rDNA is assembled into arrays of nucleosomes, whereas transcriptionally active rDNA does not contain canonical nucleosomes. To separate inactive (nucleosomal) and active (non-nucleosomal) rDNA, the technique of psoralen photocrosslinking has been used successfully both in vitro and in vivo. In Saccharomyces cerevisiae, the structure of rDNA chromatin has been particularly well studied during transcription and during DNA replication. Thus, the yeast rDNA locus has become a good model system to study the interplay of all nuclear DNA processes and chromatin. In this review we focused on the studies of chromatin in ribosomal genes and how these results have helped to address the fundamental question: What is the structure of chromatin in the coding regions of genes?
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".