Identification of GW182 and its novel isoform TNGW1 as translational repressors in Ago2-mediated silencing
Bibliographic record
Abstract
RNA interference is triggered by small interfering RNA and microRNA, and is a potent mechanism in post-transcriptional regulation for gene expression. GW182 (also known as TNRC6A), an 182-kDa protein encoded by TNRC6A, is important for this process, although details of its function remain unclear. Here, we report a novel 210-kDa isoform of human GW182, provisionally named trinucleotide GW1 (TNGW1) because it contains trinucleotide repeats in its mRNA sequence. TNGW1 was expressed independently of GW182 and was present in human testis and various human cancer cells. Using polyclonal and monoclonal antibodies, we detected TNGW1 in only approximately 30% of GW bodies. Expression of EGFP-tagged TNGW1 in HeLa cells was colocalized to cytoplasmic foci enriched in Ago2 (also known as EIF2C2) and RNA decay factors. Tethering TNGW1 or GW182 to the 3'-UTR of a luciferase-reporter mRNA led to strong repression activity independent of Ago2, whereas the tethered Ago2-mediated suppression was completely dependent on TNGW1 and/or GW182. Our data demonstrated that GW182 and, probably, TNGW1 acted as a repressor in Ago2-mediated translational silencing. Furthermore, TNGW1 might contribute to diversity in the formation and function of GW and/or P bodies.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".