Positive and Negative Transcriptional States of a Variegating Immunoglobulin Heavy Chain (IgH) Locus Are Maintained by a <i>cis</i>-Acting Epigenetic Mechanism
Bibliographic record
Abstract
Analyses of transgene expression have defined essential components of a locus control region (LCR) in the J(H)-C(mu) intron of the IgH locus. Targeted deletion of this LCR from the endogenous IgH locus of hybridoma cells results in variegated expression, i.e., cells can exist in two epigenetically inherited states in which the Ig(mu) H chain gene is either active or silent; the active or silent state is typically transmitted to progeny cells through many cell divisions. In principle, cells in the two states might differ either in their content of specific transcription factors or in a cis-acting feature of the IgH locus. To distinguish between these mechanisms, we generated LCR-deficient, recombinant cell lines in which the Ig(mu) H chain genes were distinguished by a silent mutation and fused cells in which the mu gene was active with cells in which mu was silent. Our analysis showed that both parental active and silent transcriptional states were preserved in the hybrid cell, i.e., that two alleles of the same gene in the same nucleus can exist in two different states of expression through many cell divisions. These results indicate that the expression of the LCR-deficient IgH locus is not fully determined by the cellular complement of transcription factors, but is also subject to a cis-acting, self-propagating, epigenetic mark. The methylation inhibitor, 5-azacytidine, reactivated IgH in cells in which this gene was silent, suggesting that methylation is part of the epigenetic mark that distinguishes silent from active transcriptional states.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".