Ferritin Heavy Chain, a Repressor of the Human β-Globin Gene That Binds a Conserved Cagtgc Motif, Is Bound to the Repressed β-Globin Promoter In Vivo in K562 Cells and Specifically Binds an Analogous Site in the Mouse βMajor-Globin Promoter.
Bibliographic record
Abstract
Abstract Ferritin heavy chain (FH), an embryonically-expressed protein in the erythroid lineage, localizes to the nucleus and represses the human adult β-globin promoter in transient expression assays (Broyles et al., PNAS98: 9145, 2001). Recently, we have performed chromatin immunoprecipitation (ChIP) assays with cross-linked chromatin of K562 cells in which the β-globin gene is repressed, using anti-FH polyclonal antisera. These results strongly indicate that FH occupies the repression site (a CAGTGC motif) in vivo. Binding to this -150 site has been previously demonstrated to be required for β-promoter repression in co-transfections. EMSA assays (competitive gel shifts) have revealed that the mouse βMajor-globin promoter has an analogous CAGTGN motif at -160 bp from the cap site that competes specifically with the human CAGTGC site for FH binding. The mouse βMinor-globin promoter lacks the -150/-160 CAGTGN motif and, therefore, the FH binding site. Thus, a human FH transgenic mouse, in which the FH gene is driven by a truncated β-promoter lacking the CAGTGN motif, should express human FH in definitive erythroid cells where the FH would be predicted to repress βMajor-globin but not βMinor-globin. Such a mouse would be predicted to survive but be born with a mild β-thalassemia due to the decreased βMajor/βMinor ratio in its definitive erythroid cells. Preliminary results from the litters of F1 generation FH-tg mice indicate that such is indeed the case, i.e., that human FH functions as a βMajor-globin repressor in vivo.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".