CCL5-mediated T-cell chemotaxis involves the initiation of mRNA translation through mTOR/4E-BP1
Bibliographic record
Abstract
The multistep, coordinated process of T-cell chemotaxis requires chemokines, and their chemokine receptors, to invoke signaling events to direct cell migration. Here, we examined the role for CCL5-mediated initiation of mRNA translation in CD4(+) T-cell chemotaxis. Using rapamycin, an inhibitor of mTOR, our data show the importance of mTOR in CCL5-mediated T-cell migration. Cycloheximide, but not actinomycin D, significantly reduced chemotaxis, suggesting a possible role for mRNA translation in T-cell migration. CCL5 induced phosphorylation/activation of mTOR, p70 S6K1, and ribosomal protein S6. In addition, CCL5 induced PI-3'K-, phospholipase D (PLD)-, and mTOR-dependent phosphorylation and deactivation of the transcriptional repressor 4E-BP1, which resulted in its dissociation from the eukaryotic initiation factor-4E (eIF4E). Subsequently, eIF4E associated with scaffold protein eIF4G, forming the eIF4F translation initiation complex. Indeed, CCL5 initiated active translation of mRNA, shown by the increased presence of high-molecular-weight polysomes that were significantly reduced by rapamycin treatment. Notably, CCL5 induced protein translation of cyclin D1 and MMP-9, known mediators of migration. Taken together, we describe a novel mechanism by which CCL5 influences translation of rapamycin-sensitive mRNAs and "primes" CD4(+) T cells for efficient chemotaxis.
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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) | 0.000 | 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".