Ubiquitin-conjugating enzyme E2<sub>14k</sub>/HR6B is dispensable for increased protein catabolism in muscle of fasted mice
Bibliographic record
Abstract
Activated skeletal muscle proteolysis in catabolic states has been linked to an upregulation of the ATP-ubiquitin-dependent proteolytic system. Previous studies suggested that the N-end rule pathway is primarily responsible for the bulk of skeletal muscle proteolysis. The activity of this pathway is dependent on the 14-kDa ubiquitin-conjugating enzyme E2(14k) (HR6B) and the ubiquitin protein ligase Ubr1. To address the requirement of E2(14k) in muscle proteolysis, we examined muscle protein metabolism in wild-type (WT) mice and mice lacking the E2(14k) gene (KO) in fed and fasted (48 h) states. Baseline body weight, muscle mass, and protein content were similar, and these parameters decreased similarly upon fasting in the two genotypes. There were also no effects of genotype on the rate of proteolysis in soleus muscle. The fasting-induced increase in the amount of ubiquitinated proteins was the same in WT and KO mice. The absence of any significant effect of loss of E2(14k) function was not due to a compensatory induction of the closely related isoform HR6A. Total intracellular concentration of E2(14k) and HR6A in the WT mice was 290 +/- 40 nM, but the level in the KO mice (reflecting the level of HR6A) was 110 +/- 9 nM. This value is about threefold the apparent Michaelis-Menten constant (K(m)) of E2(14k) (approximately 40 nM) for stimulating conjugation in muscle extracts. Because the HR6A isoform has a K(m) of 16 nM for stimulating conjugation, the HR6A levels in the muscles of KO mice appear sufficient for supporting conjugation mediated by this pathway during fasting.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".