Mir-186-5p Regulates WNT Signaling Pathway by Targeting TCF4 Transcription Factor
Bibliographic record
Abstract
The evolutionarily conserved Wnt signaling pathway plays essential roles during embryonic development, tissue homeostasis and differentiation. This pathway is deregulated in many cancers especially colorectal cancer. MiRNAs are a class of small noncoding RNAs that may play a major role in post transcriptional regulation of many genes and signaling pathway such as WNT signaling pathway. Here, we intended to investigate if miR-186-5p is capable of regulating WNT signaling pathway wia suppression TCF4 gene expression. miR-186-5p was bioinformatically predicted as a candidate regulator of TCF4 gene expression and then, in this experimental study, miR-186-5p was overexpressed in SW480 cell line and its increased expression was detected through quantitative reverse transcription polymerase chain reaction (RT-qPCR). The effect of miR-186-5p on WNT pathway was analysied with TOP/FOP flash assay in SW480 cell line. Finally, flow cytometery was used to inves tigate the effect of miR-186-5p overexpression on cell cycle progression in SW480 cell line. miR-186-5p was overexpressed in the SW480 cell line and its overexpression resulted in significant reduction of the TCF4 mRNA level. TOP/FOP flash assay, confirmed the negative effect of miR-186-5p on the Wnt pathway in SW480 cells. Finally, Overexpression of miR186-5p in SW480 cells resulted in cell cycle arrest in subG1 phase, detected by flow cytometry. Overall, accumulative results indi-cated that miR-186-5p by targeting TCF4 is potentially one of the regulators of the WNT signaling pathway.
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) | 0.000 | 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 | 0.001 |
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".