Bystander signal production and response are independent processes which are cell line dependent
Bibliographic record
Abstract
PURPOSE: Radiation-induced bystander effects are now an established phenomenon seen in numerous models; however it is not known whether the magnitude of the bystander effect is determined by the signal produced by the irradiated cells or the response of the exposed cells. The aim of this investigation is to determine the importance of the bystander signal versus the bystander response in three different cell line models. METHODS: A matrix design experiment using cell lines, HPV-G, CHO-K1 and E89 (glucose 6-phosphate dehydrogenase (G6DP) null) was set up to produce irradiated cell conditioned medium (ICCM), which was used to treat all cell lines. RESULTS: For HPV-G and CHO-K1 lines, the response to autologous ICCM was significantly different to that when treated with ICCM generated from another line. These lines displayed no response to E89 ICCM, nor did E89 cells show a significant response to any ICCM, suggesting that G6DP plays a key role in the bystander effect. CONCLUSION: These data suggest, for these cell lines at least, that in the case of cell lines capable of responding to the bystander signal, it is the signal produced by the irradiated cell that determines the magnitude of the bystander effect.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".