Proteasome-mediated Degradation of STAT1α following Infection of Macrophages with Leishmania donovani
Bibliographic record
Abstract
Activation of the Janus-activated kinase 2 (JAK2)/STAT1alpha signaling pathway is repressed in Leishmania-infected macrophages. This represents an important mechanism by which this parasite subverts the microbicidal functions of the cell to promote its own survival and propagation. We recently provided evidence that the protein tyrosine phosphatase (PTP) SHP-1 was responsible for JAK2 inactivation. However, STAT1 translocation to the nucleus was not restored in the absence of SHP-1. In the present study, we have used B10R macrophages to study the mechanism by which this Leishmania-induced STAT1 inactivation occurs. STAT1alpha nuclear localization was shown to be rapidly reduced by the infection. Western blot analysis revealed that cellular STAT1alpha, but not STAT3, was degraded. Using PTP inhibitors and an immortalized bone marrow-derived macrophage cell line from SHP-1-deficient mice, we showed that STAT1 inactivation was independent of PTP activity. However, inhibition of macrophage proteasome activity significantly rescued Leishmania-induced STAT1alpha degradation. We further demonstrated that degradation was receptor-mediated and involved protein kinase C alpha. All Leishmania species tested (L. major, L. donovani, L. mexicana, L. braziliensis), but not the related parasite Trypanosoma cruzi, caused STAT1alpha degradation. Collectively, results from this study revealed a new mechanism for STAT1 regulation by a microbial pathogen, which favors its establishment and propagation within the host.
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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 | 0.000 |
| 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 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".