Anchorage-Independent Growth of <i>p53</i> -Knockout Dermal Fibroblasts is Reversed by Wild-Type <i>p53</i>
Bibliographic record
Abstract
BACKGROUND: p53 is a 393-residue nuclear phosphoprotein. Mutation of p53 occurs in over half of all human cancers and thus is a crucial step in the process of cell transformation and tumorigenesis. Since tumorigenesis is a multistep process, it generally requires the mutation of certain key oncogenes and/or tumor-suppressor genes. Using p53-deficient mice, we can investigate the p53-dependent mechanisms leading to tumorigenesis. OBJECTIVE: To examine the unique anchorage-independent growth characteristics of dermal fibroblasts isolated from p53-deficient mice. METHODS: The growth characteristics of highly confluent cultured dermal fibroblasts from wild-type (p53+/+) and p53-deficient (p53-/-) mice were compared by DNA fragmentation assay, colony formation in soft agar, and overexpression of a wild-type p53 transgene in p53-deficient cells. RESULTS: p53-/- fibroblasts have a growth rate dramatically higher than p53+/+ cells and detach from plastic cultureware at high density. The detachment of p53-/- cells is not due to apoptosis. Furthermore, these cells have the capacity to grow in soft agar-a hallmark of cell transformation-and this anchorage-independent growth can be reversed by the introduction of a wild-type p53 transgene. CONCLUSION: Dermal fibroblasts isolated from p53-deficient mice show anchorage-independent growth. Therefore, the absence of p53 is sufficient for the initiation of cell transformation in this cell type and establishes this model system as an excellent tool to dissect the molecular steps involved in oncogenesis.
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) | 0.001 | 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 | 0.001 |
| 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".