Protein Tyrosine Phosphatase 1B Is a Regulator of the Interleukin-10–Induced Transcriptional Program in Macrophages
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Bibliographic record
Abstract
Both pro- and anti-inflammatory cytokines activate the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway; however, they elicit distinct transcriptional programs. Posttranslational modifications of STAT proteins, such as tyrosine phosphorylation, are critical to ensure the differential expression of STAT target genes. Although JAK-STAT signaling is dependent on reversible tyrosine phosphorylation, whether phosphatases contribute to the specificity of STAT-dependent gene expression is unclear. We examined the role of protein tyrosine phosphatase 1B (PTP1B) in regulating the interleukin-10 (IL-10)-dependent, STAT3-mediated anti-inflammatory response. We found that IL-10-dependent STAT3 phosphorylation and anti-inflammatory gene expression were enhanced in macrophages from PTP1B(-/-) mice compared to those in macrophages from wild-type mice. Consistent with this finding, the IL-10-dependent suppression of lipopolysaccharide-induced macrophage activation was increased in PTP1B(-/-) macrophages compared to that in wild-type macrophages, as was the IL-10-dependent increase in the cell surface expression of the anti-inflammatory cytokine receptor IL-4Rα. Furthermore, RNA sequencing revealed the expression of genes encoding proinflammatory factors in IL-10-treated PTP1B(-/-) macrophages, which correlated with increased phosphorylation of STAT1, which is not normally highly activated in response to IL-10. These findings identify PTP1B as a central regulator of IL-10R-STAT3 and IL-10R-STAT1 signaling, and demonstrate that phosphatases can tailor the quantitative and qualitative properties of cytokine-induced transcriptional responses.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it