Construction of bcr-abl retroviral vector-mediated mouse chronic myeloid leukemia like model
Bibliographic record
Abstract
ATM: To construct the bcr-abl retroviral vector-mediated mouse model of chronic myeloid leukemia like(CML-like)in order to establish a foundation for further investigation into its pathogenesis and therapeutic results.METHODS: The Mig210 retroviral vector containing the bcr-abl fusion gene was packaged by Phoenix-Ampo cells,and the retroviral supernatant,which was then used to infect the bone marrow cells from the 5-FU-treated male Balb/c donor mouse,was collected.After being infected by the retrovirus,the donor bone marrow cells were transplanted into the lethally-irradiated(900cGyγ-ray)homogenous female receptor mouse intravenously via vena caudalis.Morphological observation,RT-PCR and Western Blot were employed to evaluate the mouse CML-like model system.RESULTS: After 8-9 weeks,the white blood cells in the peripheral blood were significantly increased to 20×109-30×109/L(5-8 times that of the normal control mice);and the proportion of the blast cells in the peripheral blood smear reached 10%-20%.Results from bone marrow slides showed that the cell population of the granulocytic lineage also increased significantly and the blast cells were readily found.What's more,the leukemic cells were found to be infiltrating into the liver and spleen of the candidate model mouse.The bcr-abl fusion gene was detected by RT-PCR in the bone marrow and spleen within 4-5 weeks,and in the liver within 8-9 weeks from the receptor mouse,and at the same time,the bcr-abl fusion protein was detected in the bone marrow and spleen as shown by Western Blot.The mice in which the CML-like model were successfully constructed died within 3-5 months.CONCLUSION: The bcr-abl retroviral vector-mediated mouse CML-like model is successfully constructed,which can be used in the subsequent researches on CML in the fields of cell signal transductions and therapeutic results.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".