A role for p53 in the response of bystander cells to receipt of medium borne signals from irradiated cells
Bibliographic record
Abstract
PURPOSE: A number of contradictory studies have reported a role or not for p53 (protein 53) in the production of radiation-induced bystander effects. Most of these studies looked at a range of cell lines with normal or compromised p53 function. METHODS: In this study, Human Colon Tumour line 116 (HCT 116) cells with confirmed wild type p53 function and a corresponding p53 null HCT 116 line were used to test for bystander signal production and response to bystander signals in a mix/match protocol using the medium transfer technique. RESULTS: The results showed that both the null cells and the wild type cells produced bystander signals. However, only the p53 wild type cells responded to signals from either cell line. The Human Papilloma Virus transfected keratinocyte line G (HPV-G) reporter cell line used routinely in our laboratory was used to confirm that the null cells were producing signals. CONCLUSIONS: We conclude that in this system the p53 pathway is involved in response of cells to bystander signals but that signals can be produced by cells which do not have functional p53. If these results apply in vivo, they could be important in radiotherapy where tumours may have compromised p53 function but surrounding (and distant) normal tissue may have wild type functional p53.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".