LCR-regulated transgene expression levels depend on the Oct-1 site in the AT-rich region of β-globin intron-2
Bibliographic record
Abstract
Human beta-globin transgenes regulated by the locus control region (LCR) express at all integration sites in transgenic mice. For such LCR activity at ectopic sites, the 5'HS3 element requires the presence of the AT-rich region (ATR) in beta-globin intron-2. Here, we examine the dependence of 5'HS3 LCR activity on transcription factor binding sites in the ATR. In vitro DNaseI footprint analysis and electrophoretic mobility shift assays of the ATR identified an inverted double Gata-1 site composed of 2 noncanonical sequences (GATT and GATG) and an Oct-1 consensus site. Mutant Oct-1, Gata-1, or double mutant sites were created in the ATR of the BGT50 construct composed of a 5'HS3 beta/gamma-globin hybrid transgene. Transgenes with double mutant sites expressed at all sites of integration, but mean expression levels in transgenic mice were reduced from 64% per copy (BGT50) to 37% (P <.05). Mutation of the inverted double Gata-1 site had no effect at 61% per copy expression levels. In contrast, mutation of the Oct-1 site alone reduced per-copy expression levels to 31% (P <.05). We conclude that the ability of 5'HS3 to activate expression from all transgene integration sites is dependent on sequences in the ATR that are not bound at high affinity by transcription factors. In addition, the Oct-1 site in the ATR is required for high-level 5'HS3 beta/gamma-globin transgene expression and should be retained in LCRbeta-globin expression cassettes designed for gene therapy.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".