Human CMV immediate‐early enhancer: a useful tool to enhance cell‐type‐specific expression from lentiviral vectors
Bibliographic record
Abstract
BACKGROUND: Lentiviral vectors are attractive delivery tools for gene therapy, especially in terminally differentiated target cells. While restriction of gene expression to specific cell populations is of particular importance, highly efficient cell-type-specific gene expression after viral gene transfer so far has been hampered by low levels of transgene expression. METHODS: Addressing this problem, we have integrated the human cytomegalovirus (CMV) immediate-early enhancer into an 'advanced' generation lentiviral vector. Expression cassettes with the reporter gene green fluorescent protein (GFP), combined with the woodchuck hepatitis virus posttranscriptional regulatory element (WPRE) under control of a ubiquitous phosphoglycerate kinase (mouse PGK), cardiomyocyte- (human atrial natriuretic factor (ANF), human ventricular myosin light chain (MLC2v)), or type II alveolar epithelial cell (AT-2)-specific human surfactant protein C (SP-C) promoter, were introduced. As insertion of an enhancing element can interfere with the promoter's specificity, expression levels conferred by our enhancer/promoter constructs were evaluated in target and non-target cells. RESULTS: Transduction of target cells with human CMV enhancer containing lentiviral vectors resulted in a multiple-log increase in GFP expression compared to corresponding vectors lacking the human CMV enhancer. In the case of the ANF, the MLC2v, and the SP-C promoters, tissue-specific reporter gene expression in cardiomyocytes and in lung AT-2 cells was maintained, as expression in non-target cells increased only up to 7-fold. CONCLUSIONS: The results of this study indicate that lentiviral vectors with the human CMV enhancer conferring efficient cell-type-specific gene expression may be useful tools for gene therapy purposes or cell tracing, e.g. to analyze stem cell differentiation in transplantation and co-culture settings.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".