AKIR-1 Regulates Proteasome Localization and Function in <i>Caenorhabditis elegans</i>
Bibliographic record
Abstract
Abstract Regulated protein clearance is vital for cells to maintain protein homeostasis and the conditions essential for survival. The primary machinery for intracellular protein degradation is the ubiquitin– proteasome system (UPS), by which ubiquitin-tagged proteins are degraded by the proteasome. Proteasomes are present both in the cytoplasm and the nucleus, but the mechanisms coordinating proteasome activity and its subcellular localization in a multicellular organism are still unclear. Here, we identified the nuclear protein-encoding gene akir-1 as a proteasome regulator in a genome-wide Caenorhabditis elegans ( C. elegans ) RNAi screen. We show that the depletion of akir-1 causes accumulation of endogenous polyubiquitinated proteins in the nuclei of intestinal cells, concomitant with slower in vivo proteasomal degradation in this subcellular compartment. Remarkably, the loss of akir-1 does not induce an accumulation of polyubiquitinated proteins in oocyte nuclei, though akir-1 is essential for the nuclear localization of proteasomes in both cell types. We further show that the importin family member ima-3 genetically interacts with akir-1 , and affects subcellular distribution of polyubiquitinated proteins in intestinal cells. We show for the first time that conserved AKIR-1 is important for the nuclear transport of proteasomes in a multicellular organism, suggesting a role for AKIR-1 in the maintenance of proteostasis.
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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 | 0.000 |
| 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".