The beta‐globin locus control region versus gene therapy vectors: a struggle for expression
Bibliographic record
Abstract
Developmental control of gene expression has a major impact on the design of beta-globin retrovirus vectors for hematopoietic stem cell gene therapy of beta-thalassemia. It is obvious that the endogenous locus control region (LCR) elements that drive beta-globin gene expression in transgenic mice must be included in these vectors. However, the specific elements to use are not clear and require an understanding of LCR action. Moreover, retrovirus vectors contain silencer elements that function in stem cells and are dominant to LCR function. Recent studies on LCRbeta-globin transgenes and retrovirus silencing suggest ways to overcome this silencing effect after transfer into stem cells and carefully designed lentivirus vectors have exciting therapeutic benefit in animal models of beta-thalassemia. By building on 15 years of development, LCRbeta-globin vectors are now being tested in preclinical animal models and may ultimately lead to the long-sought cure for this genetic disease.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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".