Sequential Changes in Epidermal Growth Factor Receptor/Ligand Function in Cultured Rat Liver Epithelial Cells Transformed Chemically in vitro
Bibliographic record
Abstract
Diploid WB rat liver epithelial cells contain abundant, rapidly internalized epidermal growth factor receptors, and respond pleiotropically to ligand binding. Signal transduction pathways downstream from the EGF receptor involve activation of elements that are both dependent on and independent of protein kinase C activation. Neoplastic transformation of wild-type WB rat liver epithelial cells by exposure to N-methyl-N'-nitro-N-nitrosoguanidine is associated with progressive alterations in the responses of affected cells to binding of EGF to EGF receptors, including heightened cell proliferation and the expression of several other phenotypic properties. Tumorigenic rat liver epithelial cells acquire the ability to express transforming growth factor-alpha (TGF-alpha), and to secrete this growth factor in a regulated and then unregulated manner. TGF-alpha expression, together with the presence of abundant EGF receptors, provides affected cells with an autocrine growth cycle. The ability of transformed WB rat liver epithelial cells to produce tumors cosegregates clonally with TGF-alpha expression and with heightened expression of c-myc, c-Ha-ras and c-Ki-ras proto-oncogenes.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".