SAP expression in T cells, not in B cells, is required for humoral immunity
Bibliographic record
Abstract
SAP (also named SH2D1A) is an intracellular adaptor molecule expressed in T cells, natural killer (NK) cells, and some B cells. The SAP gene is mutated in X-linked lymphoproliferative (XLP) disease, a human immunodeficiency characterized by a faulty immune response to Epstein-Barr virus infection. Previous reports documented severe defects in antibody production and germinal center (GC) formation in SAP-deficient humans and mice genetically engineered to lack SAP expression. However, in vitro studies and adoptive transfer experiments provided conflicting data as to whether this phenotype is caused by a functional defect resulting from SAP deficiency in T cells, B cells, or both. Here, we ascertained which cell types are responsible for this humoral immunity defect by using a conditional gene targeting approach. We also thoroughly examined the expression pattern of SAP in normal immune cells by using intracellular flow cytometry. The results showed that expression of SAP in T cells, but not in B cells or NK cells, is required and sufficient for SAP-dependent antibody production and GC formation. These data provide a critical insight into the mechanism by which SAP regulates humoral immunity. They also help elucidate the basis of a severe human immunodeficiency.
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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) | 0.001 | 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".