Overcoming multi-drug resistance using an intracellular anti-MDR1 sFv
Bibliographic record
Abstract
We made an intracellular single-chain variable fragment (sFv) from the C219 monoclonal antibody that recognized the intracellular domain of the multidrug resistance (MDR) gene product, P-glycoprotein (P-gp). Immuno-cytochemistry using the FITC conjugated anti-C-myc tag antibody showed that the sFv protein was expressed in the cytoplasm of the cells. Although transfection of the sFv did not result in the down-regulation of P-gp expression in P-gp positive MDR cells as determined by flow cytometry analysis, Adriamycin (ADM) uptake and Rhodamine123 (Rh123) retention were increased by the C219 intra-cellular sFv transfection. The transfected cells exhibited a higher sensitivity to ADM using a 10-day colony formation assay. The conventional 3-day MTT assay showed the drug resistant tendency in C219 sFv transfected cell we tested. The growth rate of C219 sFv transfected cells was delayed in all non-MDR and MDR cells that might be the reason why C219 transfected cells exhibited the drug resistant tendency in the MTT assay. Despite this unexpected effect of C219 sFv on growth rate, our data suggest that the intra-cellular sFv technique could knockout MDR functionally and may offer a means of increasing the effectiveness of tumor chemotherapy.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".