Nuclear organization of RNA polymerase II transcription
Bibliographic record
Abstract
Transcription occurs at distinct nuclear compartments termed transcription factories that are specialized for transcription by 1 of the 3 polymerase complexes (I, II, or III). Protein-coding genes appear to move in and out of RNA polymerase II (RNAPII) compartments as they are expressed and silenced. In addition, transcription factories are sites where several transcription units, either from the same chromosome or different chromosomes, are transcribed. Chromosomes occupy distinct territories in the interphase nucleus with active genes preferentially positioned on the periphery or even looped out of the territory. These chromosome territories have been observed to intermingle in the nucleus, and multiple interactions among different chromosomes have been identified in genome-wide studies. Deep sequencing of the transcriptome and RNAPII associated on DNA obtained by chromatin immunoprecipitation have revealed a plethora of noncoding transcription and intergenic accumulations of RNAPII that must also be considered in models of genome function. The organization of transcription into distinct regions of the nucleus has changed the way we view transcription with the evolving model for silencing or activation of gene expression involving physical relocation of the transcription unit to a silencing or activation compartment, thus, highlighting the need to consider the process of transcription in the 3-dimensional nuclear space.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.005 |
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".