Bibliographic record
Abstract
PURPOSE OF REVIEW: The review describes advances in understanding the role of the CD3 delta subunit in human T-cell development as deduced from a recently described human immunodeficiency. The review also compares CD3 delta deficiency with other human CD3 subunit deficiencies and with corresponding animal models. RECENT FINDINGS: In describing CD3 delta deficiency in humans this review shows that patients with profound T-cell depletion, who present at 2-3 months with severe viral infection, lack CD3 delta as a result of a mutation in the extracellular domain of this gene. The genetic aberration was discovered by comparing patients' and normal thymocytes, using mass gene screening with the microarray technique. In humans the absence of CD3 delta results in a complete arrest in thymocyte development at the stage of double negative to double positive transition and the development of gamma delta T-cell receptor-positive T cells is also impaired. SUMMARY: Unlike patients with CD3 gamma or CD3 epsilon deficiency who have a milder condition, patients with CD3 delta deficiency present with severe lethal susceptibility to infections during early infancy. As expected, this profound immunodeficiency was cured with an allogenic bone marrow transplantation. In contrast to murine CD3 (-/) delta, which retains a normal gamma delta T-cell receptor-positive T-cell population and only partly affects the developmental transition of double positive to single positive thymocytes, CD3 delta in humans appears to be more critically required for the development of both alpha beta and gamma delta T-cell receptor-positive T-cell lineages. The studies also show for the first time that comparing relevant patients' with normal tissue using microarray technology can aid in the discovery of the genetic basis of inherited disorders.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.008 |
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".