Reexpression of a cluster of silenced transgenes is associated with their rearrangement
Bibliographic record
Abstract
Irreversible inactivation or silencing of tumor suppressor genes occurs frequently in the development of cancer. A similar process of silencing can occur after the integration of transfected or microinjected genes into the genomes of recipient cells. The inactivation of transfected genes seems particularly efficient in cells with stem cell characteristics. We have been studying the inactivation of genes transfected into cultured P19 embryonal carcinoma cells and found that the CpG-rich sequence comprising the coding region of the lacZ reporter gene becomes extensively methylated after integration into the genome. 5-Aza-2'-deoxycytidine (5AdC), an inhibitor of DNA methylation, induced the reexpression of silent transgenes in one clone of P19 cells studied in detail. However, the reexpressed genes remained heavily methylated over the lacZ coding sequence. We used pulsed-field gel electrophoresis to analyze the structure of the transgenic locus in the parental and in 5AdC-treated cells and found that, in each of the cells reexpressing the transgene, the cluster of transgenes had been rearranged. Each clone had undergone a different rearrangement that appeared to involve recombination within the tandemly repeated copies of the transgene. Our data seem consistent with the idea that 5AdC induces efficient DNA recombination between tandemly repeated genes and that the reexpression of silenced genes induced by 5AdC might be triggered by the chromatin reorganization at the site of DNA recombination.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".