Invariant chain regulates endosomal fusion and maturation through the SNARE Vti1b
Bibliographic record
Abstract
Abstract Invariant chain (Ii) is an important multifunctional player in the regulation of adaptive immune responses and is responsible for several cellular functions related to MHCI and MHCII antigen loading and antigen presentation. While regulating endosomal trafficking of MHCII and other proteins that bind to Ii, this molecule is able to influence the endosomal pathway delaying the maturation of endosomes to the late endosomal loading compartments. When expressed in cells Ii is found to increase endosomal size, but the mechanisms for this is not known. We used RNAi silencing to identify SNARE proteins controlling Ii induced increase of endosomal size and delay of the endosomal pathway. Ii was found to interact with the SNARE protein Vti1b. Vti1b localized at the contact sites of fusing Ii positive endosomes and a tailless Ii was able to relocate Vti1b to the plasma membrane. Furthermore, silencing Vti1b, abrogated the delay in endosomal maturation induced by Ii expression. In conclusion, Ii interacts with Vti1b and this interaction is fundamental for Ii-mediated alteration of the endosomal pathway. We propose that Ii, by interacting with SNAREs, in particular Vti1B in the biosynthetic pathway of antigen presenting cells, is able to assemble SNARE directed fusion partners in the early part of the endosomal pathway that lead to a slower endosomal maturation for efficient antigen processing and antigen loading.
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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) | 0.001 | 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".