EXPRESSION OF HUMAN FACTOR IX GENE IN MURINE PLASMA THROUGH LENTIVIRAL VECTOR‐INFECTED HAEMATOPOIETIC STEM CELLS
Bibliographic record
Abstract
1. Haematopoietic stem cells (HSC) are an attractive target for gene therapy. Gene transfer to HSC can provide a potential cure for many inherited diseases. Moreover, recombinant lentiviral vectors can transfer genes efficiently to HSC. In the present study, we used the recombinant lentiviruses FUGW (Flip, ubiquitin promoter, GFP and WRE vector) and FUXW (Flip, ubiquitin promoter, F IX and WRE vector), which carry the enhanced green fluorescent protein (EGFP) and human factor IX (hFIX) gene, respectively, to infect HSC. 2. High titres of recombinant lentivirus were prepared from 293T cells by calcium phosphate-mediated transient cotransfection. Murine mononuclear cells (MNC) separated from murine bone marrow and HSC separated by magnetic cell sorting were cultured in vitro. Cells they were infected by the recombinant lentiviruses FUGW and FUXW. The expression of EGFP was observed under a fluorescent microscope and was analysed by fluorescence-activated cell sorting, whereas the expression of hFIX was detected by ELISA. 3. The results show that the lentiviral vectors can efficiently infect murine HSC in vitro and that transduction was more efficient following cytokine treatment with interleukin (IL)-3, IL-6 and stem cell factor. 4. Haematopoietic stem cells infected with lentivirus FUXW were transplanted into [(60)Co]-irradiated non-obese diabetic/severe combined immunodeficiency (NOD-SCID) mice. The expression of hFIX in the blood plasma of the transplanted mice reached a peak of 44.9 +/- 7.6 ng/mL on Day 7. An assay of transaminase levels and a histological study of the liver showed that there was no significant damage following HSC transplantation to mice. 5. The results of the present study suggest that transplantation of HSC results in the persistant expression of hFIX in mice, which may be useful in haemophilia B gene therapy.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".