Control of T Lymphocyte Signaling by Ly108, a Signaling Lymphocytic Activation Molecule Family Receptor Implicated in Autoimmunity
Bibliographic record
Abstract
The signaling lymphocytic activation molecule family of receptors has been implicated in the pathophysiology of autoimmunity in humans and mice. One member of the family, Ly108, was strongly linked to lupus susceptibility in mice. High expression of a Ly108 isoform, Ly108-1, was observed in lymphocytes of lupus-prone mice. Herein, we examined the molecular basis for the influence of Ly108 on lupus susceptibility by studying Ly108 signal transduction in T cells. We observed that Ly108 was able to mediate a tyrosine phosphorylation signal implicating Ly108, Vav-1, and c-Cbl in a manner strictly dependent on engagement of the extracellular domain of Ly108 and co-expression of the Src homology 2 (SH2) domain-containing adaptor signaling lymphocytic activation molecule (SLAM)-associated protein (SAP). Evaluation of T cells from mice carrying mutations in the SAP-FynT pathway indicated that Ly108-triggered protein tyrosine phosphorylation was due to the capacity of SAP to recruit FynT. Importantly, Ly108-1 was more apt at triggering tyrosine phosphorylation signals in T cells when compared with the predominant Ly108 isoform found in non-lupus-prone mice, Ly108-2. This difference was due in part to the presence in Ly108-1 of a unique intra-cytoplasmic tyrosine-based motif that promoted Ly108 signal transduction. Together these data provided a molecular explanation for the involvement of Ly108 in lupus susceptibility in mice.
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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) | 0.000 | 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 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".