Abstract 1052: RNAi-mediated mutual regulation of FGF-2 and its antisense gene, NUDT6, in C6 glioma cells.
Bibliographic record
Abstract
Abstract Basic fibroblast growth factor (FGF-2) is a potent wide-spectrum antiapoptotic mitogen, and the dysregulation of its expression is associated with cell proliferation and immortalization in a wide variety of tumors. We have previously reported that FGF-2 and NUDT6, the product of its antisense gene, are co-localized and inversely expressed in C6 glioma cells, and that constitutive overexpression of NUDT6 suppresses cellular FGF-2 expression, nuclear translocation, and the resumption of cell cycles (Baguma-Nibasheka et al., Mol Cell Endocrinol, 267:127-136, 2007). For the current report, we investigated the role of the endogenous RNAi machinery in mediating the post-transcriptional effects of NUDT6 on FGF-2 expression. FGF-2 knockdown was accompanied by a significant (>3 fold) increase in NUDT6 mRNA, and vice versa. Similar converse effects were observed on the cognate protein levels, as assessed by confocal immunoflourescence, Western blotting, and flow cytometry, indicating that these two transcripts may be mutually regulatory. Remarkably, knockdown of either transcript reduced cell proliferation and inhibited S-phase re-entry following serum deprivation (Table 1), indicating that both FGF-2 and NUDT6 may be involved in the regulation of cell cycle progression. Supported by the CIHR and NSERC.Table 1.S-Phase Percentages1 of C6 Cells following Knockdown and G0 Arrest.Hours after Return to 10% FBS Medium0361224Control siRNA4.8 ± 0.516.8 ± 1.321.6 ± 1.822.4 ± 1.123.0 ± 1.5NUDT6 siRNA4.1 ± 0.510.6 ± 1.3*14.2 ± 1.6*16.7 ± 1.8*19.8 ± 0.8FGF-2 siRNA3.5 ± 0.55.9 ± 0.8*6.9 ± 1.2*11.2 ± 1.1*14.5 ± 1.0*1mean ± SEM. * = significantly different from control; p<0.05, n=3. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1052.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".