Niche-associated Type IV collagen promotes GLP-1/Notch receptor activation in the C. elegans germline
Bibliographic record
Abstract
Basement membranes are thin and dense proteinaceous layers that surround tissues to maintain their structure. With age, chronic inflammation typically stiffens this basement membrane through a phenomenon called fibrosis, which is reflected by increasing levels of the basement membrane’s main structural component, type IV collagen (COL IV). Tissue fibrosis and elevated Notch signalling are two co-occurring hallmarks of many inflammation-linked diseases, including cancer, but their in vivo relationship has not been clearly defined. Here we show that EMB-9/COL IV accumulation around the C. elegans germline stem cell niche promotes GLP-1/Notch receptor activation in germline stem cells. Moreover, we find that contrasting with previous beliefs, reducing GLP-1/Notch activity in vivo leads to a generalized dramatic increase in EMB-9/COL IV levels, and thereby promotes fibrosis. The generalized fibrosis that comes along with inflammaging may therefore act as a root cause for cancer by promoting Notch signalling, and perhaps other ligand-receptor interactions. In the C. elegans germline, distal niche cells provide a Notch signal to promote stem cell proliferation. Martel et al. show here that distal basement membrane type IV collagen contents positively influence the transmission of this niche signal.
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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 | 0.000 |
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".