Matrix metalloproteinases inactivate the proinflammatory functions of secreted moonlighting tryptophanyl-tRNA synthetase
Bibliographic record
Abstract
Tryptophanyl-tRNA synthetase (WRS) is a cytosolic aminoacyl-tRNA synthetase essential for protein synthesis. WRS is also one of a growing number of intracellular proteins that are attributed distinct noncanonical "moonlighting" functions in the extracellular milieu. Moonlighting aminoacyl-tRNA synthetases regulate processes such as inflammation, but how these multifunctional enzymes are themselves regulated remains unclear. Here, we demonstrate that WRS is secreted from human macrophages, fibroblasts, and endothelial cells in response to the proinflammatory cytokine interferon γ (IFNγ). WRS signaled primarily through Toll-like receptor 2 (TLR2) in macrophages, leading to phosphorylation of the p65 subunit of NF-κB with associated loss of NF-κB inhibitor α (IκB-α) protein. This signaling initiated secretion of tumor necrosis factor α (TNFα) and CXCL8 (IL8) from macrophages. We also demonstrated that WRS is a potent monocyte chemoattractant. Of note, WRS increased matrix metalloproteinase (MMP) activity in the conditioned medium of macrophages in a TNFα-dependent manner. Using purified recombinant proteins and LC-MS/MS to identify proteolytic cleavage sites, we demonstrated that multiple MMPs, but primarily macrophage MMP7 and neutrophil MMP8, cleave secreted WRS at several sites. Loss of the WHEP domain following cleavage at Met 48 generated a WRS proteoform that also results from alternative splicing, designated Δ1–47 WRS. The MMP-cleaved WRS lacked TLR signaling and proinflammatory activities. Thus, our results suggest that moonlighting WRS promotes IFNγ proinflammatory activities, and these responses can be dampened by MMPs.
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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) | 0.001 | 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 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".