Regulation of the Low-Dose Radiation Paracrine-Specific Anchorage-Independent Growth Response by Annexin A2
Bibliographic record
Abstract
Weber, T. J., Opresko, L. K., Waisman, D. M., Newton, G. J., Quesenberry, R. D., Bollinger, N., Moore, R. J. and Smith, R. D. Regulation of the Low-Dose Radiation Paracrine-Specific Anchorage-Independent Growth Response by Annexin A2. Radiat. Res. 172, 96-105 (2009).Here we identify the release of annexin A2 into the culture medium in response to low-dose X-radiation exposure and establish functional linkages to an established paracrine factor-mediated anchorage-independent growth response. Using a standard bicameral coculture model, we demonstrate that annexin A2 is secreted into the medium by irradiated cells (seeded in upper chamber) and is capable of binding to nonirradiated neighboring cells (seeded in lower chamber). The paracrine factor-mediated anchorage-independent growth response to low-dose X irradiation is reduced when irradiated annexin A2-silenced (shRNA) JB6 cells are co-cultured with nonirradiated cells relative to co-culture with irradiated annexin A2-competent vector control cells. Consistent with this observation, purified bovine annexin A2 tetramer induces anchorage-independent growth. These observations suggest that annexin A2 regulates, in part, the radiation paracrine factor-specific anchorage-independent growth response in JB6 cells.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".