Association of DNAse sensitive chromatin domains with the nuclear periphery in 3T3 cells in vitro
Bibliographic record
Abstract
DNAse sensitive chromatin, putative transcriptionally competent sequences, exists either as pan-nuclear speckles in cells with nuclei which exhibit a flat geometry, or as a shell apposed to the nuclear envelope in cells with spheroidal nuclei. To test the hypothesis that DNAse sensitive chromatin is similarly associated with the nuclear periphery in cell types with a very flat geometry such as 3T3 fibroblasts, cells were subjected to hypotonic expansion to change their nuclei from a flat ellipsoid to a spheriod. This was based on the assumption that such a spatial association is not resolvable due to the interdigitation at the nuclear midplane of DNAse sensitive chromatin associated with the upper and lower nuclear surfaces. In situ nick translation was used to visualize the distribution of DNAse sensitive chromatin as a function of nuclear geometry. Both unexpanded and expanded cells exhibit DNAse sensitive chromatin as a dome at the apical side of the nucleus, i.e., that aspect of the cell facing the culture medium. The results argue for a polarized association of DNAse sensitive chromatin with the nuclear envelope and indicate that the nuclear periphery may function as a compartment for the spatial coupling of transcription and nucleo-cytoplasmic transport. Key words: nuclear organization, DNAse sensitive chromatin, hypotonic expansion, 3T3 cells.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".