Regulation of the α-fetoprotein gene by the isoforms of ATBF1 transcription factor in human hepatoma
Bibliographic record
Abstract
We investigated mechanisms regulating expression of alpha-fetoprotein (AFP) in 3 human hepatoma cell lines, HuH-7, HepG2, and huH-1, producing high, medium, and low levels of AFP, respectively. The silencer, a negative cis-acting element of the AFP gene, was highly activated in huH-1 and HepG2 to repress AFP enhancer activity by 91%, whereas only 26% repression was observed in HuH-7. To account for the difference in AFP production between HepG2 and huH-1, we investigated the roles of two isoforms of the AT motif-binding factor 1 (ATBF1) transcription factor, ATBF1-A and -B. Cotransfection assays showed that the ATBF1 isoforms regulated the AFP gene differently in HepG2 and huH-1. In huH-1 and HuH-7, both ATBF1 isoforms suppressed strongly enhancer activity and slightly promoter activity. In HepG2, on the other hand, ATBF1-A suppressed the enhancer and promoter activities, but surprisingly, ATBF1-B was found to stimulate enhancer activity while showing no effect on the promoter. Levels of ATBF1-A mRNA were similar in all 3 cell lines, whereas the expression ATBF1-B mRNA varied greatly, with the highest level seen in HepG2 followed by huH-1 and HuH-7. These results suggest that, in HepG2, ATBF1-B may have a dominant negative effect to relieve the transcriptional repression caused by its isoform. In support of this view, we found that the N-terminal region specific to the ATBF1-A molecule possessed transcriptional repressor activity. Thus, the use of the ATBF1 variants as well as the silencer may provide a unique mechanism that contributes to the determination of AFP levels in human hepatoma cell lines.
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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) | 0.001 | 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 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".