Chromosome territory position of chromosome X and 11 is non-random and cell-type specific in mouse cells of B cell lineage
Bibliographic record
Abstract
The interphase nucleus of a cell is organized into non-random, cell-type specific chromosome territolies (CTs). In lymphocytes, a gene-density correlated radial arrangement has been identified, with gene-dense CTs located more in the nuclear interior and gene-poor CTs located towards the periphery. However, other factors such as chromosome size, transcription and interactions of the nuclear membrane and matrix are also involved in the final ammgement of CTs within a nucleus. In this project, the CTs of chromosome 11 and X were studied in five different cell types of mouse B cell lineage: diploid preB cells, primary B cells of [T38HxBALB/c]N wild-type mice, primary B cells of [T38HxBALB/c]N with rcpT(X;l1) mice, primary B cells of BALB/c mice and a Wehi 231 mouse B lymphoma line. These two chromosomes have not been studied before in the mouse. 3D FISH experiments that labeled the CTs of chromosome 11 and X with chromosome-specific paints were carried out for each cell type. The karyotype regarding these two chromosomes and specificity of the chromosome paints was first confim1ed through 2D FISH experiments. The radial distance from the centre of each CT to the centre of the nucleus was measured lIsing AxioVision 4.8 software. The results show a non-random, statistically significant and cell-type specific nuclear distribution of these two chromosomes. Altered nuclear positions of translocation chromosomes in normal healthy mice and as a result of tumorigenesis were observed in the primary B cells of [T38HxBALB/c]N with rcpT(X;l1) mice and in the Wehi 231 mouse B lymphoma line, respectively.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".