The RNA-binding activity of the TRIM-NHL protein NHL-2 is essential for miRNA-mediated gene regulation
Bibliographic record
Abstract
Abstract The conserved TRIM-NHL protein, NHL-2, plays a key role in small RNA pathways in Caenorhabditis elegans. NHL-2 has been shown to interact with U-rich RNA through its NHL domain, but the importance to its biological function is unknown. We defined the crystal structure of the NHL domain to 1.4 Å resolution and identified residues that affect affinity for U-rich RNA. Functional analysis of an NHL-2 RNA-binding loss-of-function mutant demonstrated defects in the heterochronic pathway, suggesting that RNA binding is essential for its role in this miRNA pathway. Processing bodies were enlarged in the NHL-2 RNA-binding mutant, suggesting a defect in mRNA decay. We also identified the eIF4E binding protein IFET-1 as a strong synthetic interactor with NHL-2 and the DEAD box RNA helicase CGH-1 (DDX6), linking NHL-2 function to translation repression. We demonstrated that in the absence of NHL-2, there was an enrichment of miRNA transcripts associated with the miRNA pathway Argonaute proteins ALG-2 and ALG-2. We demonstrate that NHL-2 RNA-binding activity is essential for let-7 family miRNA-mediated translational repression. We conclude that the NHL-2, CGH-1, and IFET-1 regulatory axes work with the core miRISC components to form an effector complex that is required for some, but not all, miRNAs.
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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) | 0.002 | 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".