Dilution of Irradiated Cell Conditioned Medium and the Bystander Effect
Bibliographic record
Abstract
While nontargeted and low-dose effects such as the bystander effect are now accepted, the mechanisms underlying the response have yet to be elucidated. It has been shown that the transfer of irradiated cell conditioned medium (ICCM) can kill cells that are not directly irradiated; however, to date the effect of ICCM concentration on cell killing has not been reported. The occurrence of a bystander effect was determined by measuring cell survival after exposure to various ICCM dilutions, using the colony-forming assay, in cells of six human cell lines with varied bystander responses and tumor/ p53 status. Autologous ICCM transfer for these cell lines induced a bystander effect as reported previously. ICCM from these cell lines was transferred to cells of a common reporter cell line (HPV-G) to investigate whether the lack of an induced bystander effect was due to their inability to generate or to respond to a bystander signal(s). ICCM from cells of four cell lines induced a bystander effect in HPV-G reporter cells, confirming that signal production is a critical factor. A saturation response was observed when ICCM was diluted. Survival was found to increase linearly until a plateau was reached and the bystander effect was abolished at 2x dilution. The effect of ICCM from the different cell lines reached a plateau at different dilutions, which were found to correlate with the cell line's radiosensitivity.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.002 | 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".