RNF13 is a novel interactor of iduronate 2-sulfatase that modifies its glycosylation and maturation
Bibliographic record
Abstract
ABSTRACT Mucopolysaccharidosis type II, also known as Hunter syndrome, is a rare and fatal disease caused by mutations in the iduronate 2-sulfatase (IDS) encoding gene. The enzymatically inactive variant proteins lead to pathological accumulation of glycosaminoglycans in the lysosomes, causing dysfunction in multiple organs. IDS is expressed as a precursor protein, and its processing and lysosomal targeting are crucial for proper enzymatic activity. However, IDS intracellular dynamic is poorly understood and a better understanding of its processing mechanisms would benefit the development of new therapeutic strategies. AlphaFold 3 predicted an interaction between IDS and the E3 ubiquitin ligase RNF13. Co-immunoprecipitation assays confirm this interaction and further show that RNF13 interacts preferentially with a predominantly underglycosylated immature form of IDS, resulting in altered IDS glycosylation and maturation. The results demonstrate that IDS glycosylation site Asn246 is important for lysosomal targeting, although its glycosylation is not altered by RNF13. This study also unravels that RNF13 forms a heterodimer with the E3 ubiquitin ligase RNF167 that modify both RNF13 and RNF167 lysosomal trafficking. In addition, the heterodimer interacts and alters IDS differently than RNF13 or RNF167 alone. RNF13 catalytic E3 ligase activity is required to generate an underglycosylated form, but not that of RNF167. This study exposes that the proteasome rapidly degrades IDS underglycosylated forms, and RNF13 exerts a protective effect. Overall, this study reveals a novel and dual role of RNF13 on IDS maturation and degradation, providing mechanistic insights into IDS trafficking.
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) | 0.001 | 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) | 0.001 | 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".