AMPK regulates small RNA pathway prevalence to mediate soma-to-germ line communication and establish germline stem cell quiescence
Bibliographic record
Abstract
Abstract It is well established that cells communicate with each other via signaling molecules and pathways. Recent work has further indicated that this transfer of information can breach the soma-to-germ line barrier, thus permitting changes in germline gene expression in response to cellular decisions made in somatic lineages. We show that during periods of extended energy stress AMPK alters small RNA biogenesis in somatic cells, which non-autonomously regulates the quiescence of germline stem cells. By combining both genetic analyses and a novel method of miRNA imaging, we show that AMPK-mediated phosphorylation acts as a molecular switch that drives the re-allocation of the key RNA endonuclease Dicer to the miRNA synthesis pathway during the dauer stage of C. elegans . By modifying Dicer and other components of the miRNA synthesis machinery, AMPK fine-tunes the production of a population of somatic miRNAs that act as a “pro-quiescence” signal to maintain germline integrity during periods of extended energy stress, thus bridging the gap between the soma and the germ line by altering small RNA homeostasis.
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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) | 0.002 | 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".