Enhancer-Blocking Activity Is Associated with Hypersensitive Site V Sequences in the Human Growth Hormone Locus Control Region
Bibliographic record
Abstract
Activation of the human growth hormone gene (hGH-N) is linked to a locus control region (LCR) containing four (I-III, V) hypersensitive sites (HS). Pit-1 binding to HS I/II is required for efficient pituitary expression. However, inclusion of HS III and V, located about 28 and 32 kb upstream of the hGH-N gene, respectively, is also required for consistent hGH-N expression levels in vivo. HS V is referred to as a boundary for the hGH LCR, but no specific enhancer blocking or barrier function is reported. We examined a 547 bp fragment containing HS V sequences (nucleotides -32,718/-32,172 relative to hGH-N) for enhancer-blocking activity using a well-established transient gene transfer system and assessed these sequences for CCCTC binding factor (CTCF), which is linked to enhancer-blocking activity. The 547 bp HS V fragment decreased enhancer activity with a reverse-orientation preference when inserted between HS III enhancer sequences and a minimal thymidine kinase promoter (TKp). These sequences are associated with CTCF in human pituitary and nonpituitary chromatin. Enhancer-blocking activity with an orientation preference was further localized to a 45 bp sub-fragment, with evidence of CTCF and upstream binding factor 1 (USF1) binding; USF1 is linked more closely with barrier function. The presence of yin and yang 1 (Yy1) that cooperates with CTCF in the regulation of X-chromosome inactivation was also seen. A decrease in CTCF and Yy1 RNA levels was associated with a significant reduction in enhancer-blocking activity. Assessment of CpG-dinucleotides in the TKp indicates that the presence of HS V sequences are associated with an increased incidence of CpG-dinucleotide methylation of the GC box region. These data support association of CTCF and enhancer-blocking activity with HS V that is consistent with a role as a (LCR) boundary element and also implicates Yy1 in this process.
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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 | 0.000 |
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".