Suppressor of cytokine signaling 1 attenuates IL-15 receptor signaling in CD8+ thymocytes
Bibliographic record
Abstract
SOCS1-/- mice die prematurely of increased interferon-gamma (IFNgamma) signaling with severe thymic atrophy and accelerated maturation of T cells. However, it was unclear whether the thymic defects were caused by SOCS1 deficiency or by increased IFNgamma signaling. Using SOCS1-/- IFNgamma-/- mice, we show in this study that SOCS1 deficiency skews thymocyte development toward CD8 lineage independently of IFNgamma. Fetal thymic organ cultures and intrathymic transfer of CD4-CD8- precursors into Rag1-/- mice show that the lineage skewing in SOCS1-/- mice is a T-cell autonomous defect. Interestingly, SOCS1 is not required for attenuating interleukin-7 (IL-7) signaling at the CD4-CD8- stage but is essential for regulating IL-15 and IL-2 signaling in CD8+ thymocytes. IL-15 selectively stimulates SOCS1-/- CD8+ thymocytes, inducing sustained signal transducer and activator of transcription 5 (STAT5) phosphorylation and massive proliferation. IL-15 also strongly up-regulates Bcl-xL and CD44 in CD8+ thymocytes lacking SOCS1. The SOCS1 gene is induced in CD4+ thymocytes by gammac cytokines, whereas CD8+ thymocytes constitutively express SOCS1 mRNA even in the absence of cytokine stimulation. Because many different cell types express IL-15, our results strongly suggest that SOCS1 functions as an indispensable attenuator of IL-15 receptor signaling in developing CD8+ thymocytes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".