Excretory gland cell and NSPC genes in <i>C. elegans</i>: investigating their physiological roles
Bibliographic record
Abstract
The nematode Caenorhabditis elegans is one of the best-studied model organisms in molecular biology; however, many aspects of its physiology and the functions of many genes remain poorly understood. In this study, we investigated the role of Nematode-Specific Peptide Family, group C (NSPC) proteins, whose mRNAs were recently identified as primary targets of the poly(A) polymerase TENT-5. Surprisingly, we found that NSPCs are exclusively expressed in the excretory gland cell, a cell with still unclear functionality. Using an optogenetic approach, we precisely ablated the excretory gland cell and observed that, apart from a strong downregulation of NSPCs, nematodes exhibited no transcriptomic or physiological changes in its absence. Additionally, we generated and thoroughly studied a strain with a deletion of all 18 nspc genes, which revealed that, despite previous indications, NSPCs do not influence the worm's defense response. Instead, the transcriptomic analysis showed that the absence of NSPCs results in gene expression changes resembling those observed for DAF-16 mutants, suggesting that NSPCs may somehow influence the key C. elegans insulin signaling pathway. Although further studies are required to explain the exact genetic interaction and elucidate its physiological effects, our findings provide new insights into this unexplored part of nematode physiology.
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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".