Stable expression of miR-200c alone is sufficient to regulate TCF8 (ZEB1) and restore E-cadherin expression
Bibliographic record
Abstract
Regulation of the transcription factor TCF8 (ZEB1) by the microRNA miR-200c and was first identified using a bioinformatic and relative quantitative PCR based approach.(1) Using stable ectopic expression of miR-200c we then demonstrated loss of TCF8 (ZEB1) mRNA and restoration of its primary regulatory target, E-cadherin.(2) Recently, other members of the miR-200 'family' and an additional unrelated microRNA, miR-205, have been reported to be essential for the regulation of TCF8 (ZEB1) and restoration of E-cadherin.(3-5) To investigate, we repeated our initial method(s) and generated individual stable cell-lines, expressing the miR-200 'family' members; miR-200c, miR-200b, miR-141 and the related miR-205. Of these lines, miR-200b produced no mature transcript and miR-205 and miR-141 cells were either morphologically similar to controls or showed some slight changes respectively. However no reduction in TCF8/ZEB1 mRNA or restoration of E-cadherin could be detected in either line. In contrast, cells expressing miR-200c had a significantly altered morphology from mesenchymal to epithelial and restored expression of E-cadherin. These contrasting findings demonstrate that, as transient transfection is in essence an RNAi experiment, results should be treated with caution when investigating microRNAs and that an examination of microRNAs with similar seed regions requires stable ectopic expression to accurately reflect the endogenous mechanism(s).
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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 | 0.001 | 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".