Initial Characterisation of a Novel Role of Shugoshin in Ciliated Neurons of Caenorhabditis elegans
Bibliographic record
Abstract
Across eukaryotic species, Shugoshin proteins perform several critical functions in meiotic and mitotic cells that ensures faithful chromosome segregation and the preservation of genomic stability. In the centromere, they function as adaptor proteins, mediating spindle attachment and cohesin phosphorylation to promote sister chromatid association and delay anaphase entry. In centrosomes, Shugoshin maintains centriole cohesion and regulates centrosome maturation in preparation for spindle nucleation. These functions implicate Shugoshin in regulating transient microtubule-related structures in the cell. Here I introduce a new function of Shugoshin in yet another tubulin-derived structure, the cilium. Using Caenorhabditis elegans (C. elegans) as a model, I investigated the possible localization of SGO-1 in sensory cilia of adult neurons and in the embryonic primordia of sensory organs. Finally, I identified TAC-1, a member of a conserved microtubule regulator protein family, as an SGO-1 interacting protein. Together, these results suggest the involvement of a similar genetic toolkit in the regulation of diverse cellular functions and reveal the first evidence of Shugoshin activity in a fully differentiated cell type.
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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 | 0.000 |
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".