The 4E-BP–eIF4E axis promotes rapamycin-sensitive growth and proliferation in lymphocytes
Bibliographic record
Abstract
Rapamycin has been used as a clinical immunosuppressant for many years; however, the molecular basis for its selective effects on lymphocytes remains unclear. We investigated the role of two canonical effectors of the mammalian target of rapamycin (mTOR): ribosomal S6 kinases (S6Ks) and eukaryotic initiation factor 4E (eIF4E)-binding proteins (4E-BPs). S6Ks are thought to regulate cell growth (increase in cell size), and 4E-BPs are thought to control proliferation (increase in cell number), with mTORC1 signaling serving to integrate these processes. However, we found that the 4E-BP-eIF4E signaling axis controlled both the growth and proliferation of lymphocytes, processes for which the S6Ks were dispensable. Furthermore, rapamycin disrupted eIF4E function selectively in lymphocytes, which was due to the increased abundance of 4E-BP2 relative to that of 4E-BP1 in these cells and the greater sensitivity of 4E-BP2 to rapamycin. Together, our findings suggest that the 4E-BP-eIF4E axis is uniquely rapamycin-sensitive in lymphocytes and that this axis promotes clonal expansion of these cells by coordinating growth and proliferation.
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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) | 0.002 | 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".