Bibliographic record
Abstract
mTOR, the master regulator of protein metabolism, is activated by growth factor signaling, amino acids and other nutrients. Emerging evidence indicates that an unexpected physical association between mTOR and lysosomes plays a critical role in amino acid mediated mTOR activation. Rag GTPases, together with a multi-protein complex called Ragulator, mediate amino acid-mediated mTOR recruitment to the lysosome surface where mTOR becomes activated. Furthermore, mTOR is also recruited to a unique cytoplasmic compartment composed of autolysosomes, which is observed in oncogenic Ras-induced senescent (RIS) cells. Formation of this TOR-autophagy spatial coupling compartment (TASCC) seems to allow activation of mTOR and autophagy in a mutually reinforcing manner. Proper formation of the TASCC also requires active Rag proteins. Interestingly, inhibition of activity of Rag proteins also suppresses acute induction of secretory protein synthesis during RIS. Thus, the TASCC provides evidence for the functional relevance of the Rag-mediated association between lysosomes and mTOR, and provides a mechanism for the simultaneous activation of anabolic and catabolic processes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".