Disruption of LT-antigen/p53 complex by heat treatment correlates with inhibition of DNA synthesis during transforming infection with SV40
Bibliographic record
Abstract
Transforming infection of Go/G1-arrested primary mouse kidney cell cultures with simian virus 40 (SV40) induces cells to re-enter the S-phase of the cell cycle. In Go-arrested cells, no p53 is detected, whereas in cells induced to proliferate by infection, a gradual accumulation of p53 complexed to SV40 large T-antigen is observed in the nucleus. Heat treatment of actively proliferating SV40-infected cells leads to inhibition of DNA synthesis and growth arrest. To determine the fate of p53 after heat treatment, proliferating infected cells were exposed to mild heat (42.5 degrees C) for increasing lengths of time. The results presented here show that after ninety minutes of treatment, the arrest of DNA synthesis by heat correlates with the disruption of the p53/LT-antigen complex. Longer treatments induce, in addition, a reduction in the solubility of p53, which was recovered tightly associated with the nuclear fraction. This contrasted with large T-antigen, whose solubility remained unaffected by heat treatment. Although the total amount of p53 in the nucleus remained constant, as shown by immunoblot analyses, p53 was no longer detectable after immunoprecipitation or by immunofluorescent staining techniques. These results suggest that heat treatment had either induced conformational changes in its antigenic sites, or had sequestered the sites through aggregation or binding to insoluble nuclear components.
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".