Characterization of a Radiation-Induced Stress Response Communicated in Vivo between Zebrafish
Bibliographic record
Abstract
Radiation-induced communication of stress signals between rainbow trout (Oncorhynchus mykiss W) have recently been described by this group and linked to the bystander effect. This paper addresses the question of whether another totally unrelated fish species (Danio rerio L) can demonstrate the effect and also looks at attenuation of both the bystander signal, from irradiated fish, and the bystander effect, in naive fish. The data show that zebrafish produce bystander signals, and that, as with rainbow trout these can affect naïve (i.e., non-irradiated) fish placed in water with X-rayed fish or in water previously occupied by X-rayed fish. Skin explants from directly X-rayed fish still reduce HPV-G reporter cell growth 6 h after X-ray, but the bystander signal to naïve fish is lost. Twelve h after X-ray the signal is lost in X-rayed fish. The bystander effect is also attenuated if induction was by placing naïve fish in water which previously held the X-rayed fish. However, the effect is retained if induction was by placing X-rayed and naïve fish together. This suggests the signal is not retained by water for long periods of time. Individual fish data reveal unique responses by bystander fish which could indicate varying levels of sensitivity to signal strength among individuals.
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 | 0.000 | 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) | 0.001 | 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".