Cytoskeletal Reorganization and Altered Phagocytotic Ability in Primary Cultures of Rainbow Trout Hemopoietic Tissue Exposed to Low-Level Ionizing Radiation
Bibliographic record
Abstract
Olwell, P. M., Cottell, D. C., Ní Shúilleabháin, S., Maderna, P., Seymour, C., Mothersill, C. and Lyng, F. M. Cytoskeletal Reorganization and Altered Phagocytotic Ability in Primary Cultures of Rainbow Trout Hemopoietic Tissue Exposed to Low-Level Ionizing Radiation. Radiat. Res. 164, 45–52 (2005).It has long been known that the hematopoietic tissue of mammals is one of the most radiosensitive tissues. In vitro studies on prawns have also shown that low doses of radiation have an extremely deleterious effect on cells cultured from this animal's blood-forming tissues. This raises questions about the relative effects of radiation in animals of different species. One of the most important aquatic animals, from both an economic and an ecological point of view, is the fish. With this in mind, primary cultures of the blood-forming tissues of rainbow trout were exposed to radiation followed by a morphological comparison between control and irradiated cultures. The cultured cells were characterized as macrophages after incubation with apoptotic human polymorphonuclear leukocytes and were classified as phagocytotic leukocytes. These cells were found in two morphological forms, stretched and rounded. It was shown that there was a commensurate increase in the number of stretched cells after irradiation. Radiation was also shown to cause a dose-dependent increase in the amounts of apoptosis in these cells over time. The phagocytotic efficacy of these cells was shown to inhibited by the exposure to low doses of radiation.
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 | 0.001 |
| 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 | 0.001 |
| 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".