Abstract 3123: Differential effects of polyoma virus middle tumor antigen mutants upon gap junctional, intercellular communication
Bibliographic record
Abstract
Abstract Gap junctions are channels that connect the cytoplasm of adjacent cells. Gap junctional, intercellular communication (GJIC) is blocked in cells transformed by oncogenes such as the middle Tumor antigen of polyoma virus (mT), an oncoprotein which associates with and is tyrosine-phosphorylated by cSrc family members. Specific phosphotyrosines provide docking sites for the phosphotyrosine binding domain of Shc (mT-tyr250) and the SH2 domain of the phosphatidylinositol 3-kinase (mT-tyr315), resulting in the activation of their downstream signaling cascades, Ras/Raf/Erk and PI-3 kinase/Akt, respectively. To examine the effect of these mT-initiated pathways upon gap junctional communication and neoplasia, GJIC was assessed in mT-mutant-expressing, rat liver epithelial T51B cells which normally have extensive GJIC, using a novel technique of in situ electroporation we developed. The results show that although low levels of wt-mT are sufficient to interrupt gap junctional communication, GJIC suppression still requires an intact tyr250 site, that is activation of the Ras pathway. In sharp contrast, activation of the PI-3 kinase pathway is not required for GJIC suppression. It is remarkable that T51B cells expressing a mutant deficient in binding of Shc, hence activation of the Ras pathway, are still morphologically transformed and do grow into tumors in syngeneic rats, albeit with an altered morphology. These results indicate that GJIC suppression requires Ras/Erk but not PI-3 kinase/Akt signalling, and is independent of neoplastic conversion in rat liver epithelial cells. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 3123. doi:10.1158/1538-7445.AM2011-3123
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".