The cationic C‐terminus of rat Muc2 facilitates dimer formation post translationally and is subsequently removed by furin
Bibliographic record
Abstract
Earlier immunolocalization experiments showed that the extreme cationic C-terminus of the rat intestinal mucin Muc2 (RMC) was present at the base of intestinal goblet cells in the vicinity of ER and golgi compartments, but was not found with the rest of the mucin in apical storage granules. This prompted us to investigate the possibility that an early proteolytic cleavage reaction occurs post-translationally. A plasmid pRMC, encoding the C-terminal 534 amino acids of the mucin, was expressed in COS-7 cells and was shown to undergo cleavage at an R-T-R-R sequence located within the C-terminal 14 amino acids. Cleavage did not occur with the construct RMCfH, a furin site-mutated (A-T-A-A) counterpart of pRMCH (poly His6 tagged RMC). Addition of a furin inhibitor to COS-7 cell incubations also prevented cleavage of RMC and RMCH products. 35S pulse-chase kinetic experiments revealed that a truncated mutant lacking the C-terminal 14 amino acids (pRMCDeltaCT) forms faulty (doublet) dimers in the ER. These were not secreted as efficiently as the normal dimer of wild-type (pRMC) constructs. Thus the cationic C-terminus of rMuc2 apppears to facilitate the correct formation of normal Muc2 domain dimers.
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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 | 0.001 |
| 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".