TNF Receptor-Associated Factor 2-Dependent Canonical Pathway Is Crucial for the Development of Peyer’s Patches
Bibliographic record
Abstract
Activation of the noncanonical pathway through the interaction of lymphotoxin (LT)-alpha(1)beta(2) and LT-betaR is essential for the development of secondary lymphoid organs including lymph nodes (LN) and Peyer's patches (PP). Although TNFR-associated factor (TRAF) 2 and TRAF5 were identified as signal transducers for the LT-betaR, roles for TRAF2 and TRAF5 in the development of secondary lymphoid organs remain obscure. In this study, we show that PP but not mesenteric LN development is severely impaired in traf2(-/-) and traf2(-/-)traf5(-/-) mice. Development of VCAM-1(+) and ICAM-1(+) mesenchymal cells and expression of CXCL13, a crucial chemokine for the development of PP, are severely impaired in PP anlagen in the intestines of traf2(-/-) mice. Surprisingly, TNF-alpha stimulation potently up-regulates cxcl13 mRNA expression in wild-type murine embryonic fibroblasts, which is impaired in traf2(-/-) and relA(-/-) murine embryonic fibroblasts. Moreover, RelA is recruited to the promoter of cxcl13 gene upon TNF-alpha stimulation and PP development is impaired in TNFR type 1 (tnfr1)(-/-) mice. These results underscore a crucial role for the TNFR1-TRAF2-RelA-dependent canonical pathway in the development of PP through up-regulation of cxcl13 mRNA.
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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) | 0.003 | 0.001 |
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".