Implication of PBP74/mortalin/GRP75 in the radio-adaptive response
Bibliographic record
Abstract
PURPOSE: To investigate the relationship between expression of the human peptide-binding protein PBP74 and the occurrence of an adaptive response to ionizing radiation. MATERIALS AND METHODS: Human tumour cell lines HT29 and MCF-7 were transfected with a PBP74 or PBP74 antisense construct. For demonstration of an adaptive response, cells lines were irradiated with a conditioning dose of 0.25 Gy cobalt-60 gamma-rays followed by a second dose of 4.0 Gy after an interval of 4.5 h. Response was measured in terms of clonogenic survival. RESULTS: Transfection of a PBP74 plasmid caused transient overexpression of PBP74 mRNA in both cell lines. The optimal dose for the induction of PBP74 in the cell lines investigated was 0.1-0.25Gy and PBP74 induction occurred within 30 min of irradiation. For both cell lines, the adaptive response was repressed when cells were transfected with the anti-PBP plasmid. However, the converse, an enhancement of the adaptive response in cell lines transfected with the PBP74 construct, was seen only for HT29 cells under certain experimental conditions. CONCLUSIONS: The results support the view that while PBP74 is necessary to the adaptive response, it may not by itself be sufficient for the adaptive response to occur.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".