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 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) | 0.002 | 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 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".