Fluctuation of lysosomal protein degradation in neural stem cells of postnatal mouse brain
Bibliographic record
Abstract
Lysosomes are intracellular organelles responsible for degrading diverse macromolecules delivered from several pathways, such as the endo-lysosomal and autophagic pathways. Recent reports have suggested that lysosomes are essential in regulating neural stem cells in developing, adult, and aged brains. However, the activity of these lysosomes has not yet been monitored in these brain tissues. Here, we report a new probe to measure lysosomal protein degradation in brain tissue by immunostaining. Our results demonstrate the fluctuation of lysosomal protein degradation in neural stem cells depending on age and brain disorder. Neural stem cells increase lysosomal activity during hippocampal development in the dentate gyrus, but aging and aging-related disease reduces their activity. In addition, physical exercise increases lysosomal activity in neural stem cells and astrocytes. We hypothesize three different stages of lysosomal activity: the increase in development, the stable state for the adult stage, and the reduction by damages with age or disease.
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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 | 0.001 | 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".