Cutting Edge: TCR-β Selection Is Required at the CD4+CD8+ Stage of Human T Cell Development
Bibliographic record
Abstract
Abstract T cell development is predicated on the successful rearrangement of the TCR gene loci, which encode for Ag-specific receptors. Recombination-activating gene (RAG) 2 is required for TCR gene rearrangements, which occur during specific stages of T cell development. In this study, we differentiated human pluripotent stem cells with a CRISPR/Cas9-directed deletion of the RAG2 gene (RAG2-KO) to elucidate the requirement for the TCR β-chain in mediating β-selection during human T cell development. In stark contrast to mice, human RAG2-KO T lineage progenitors progressed to the CD4+CD8+ double-positive (DP) stage in the absence of TCRβ rearrangements. Nonetheless, RAG2-KO DPs retrovirally transduced to express a rearranged TCR β-chain showed increased survival and proliferation as compared with control-transduced RAG2-KO DPs. Furthermore, transcriptomic analysis showed that TCRβ- and control-transduced RAG2-KO DPs differed in gene pathways related to survival and proliferation. Our results provide important insights as to the distinct requirement for the TCR β-chain during human T cell development.
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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".