Expression of the purinergic receptor P2RX7 marks early effector CD8+ T cells with increased potential for both long-lived circulating and resident memory cell generation
Bibliographic record
Abstract
Abstract Memory CD8+ T cells protect against secondary viral infections. They develop and maintain exclusively in circulation (e.g. central memory - Tcm) or are excluded from re-circulation (resident memory - Trm). Circulating memory CD8+ T cells arises from memory precursors (MPs) which express memory, pro-survival, and pluripotency molecules. Trm generation, in contrast, is still not fully understood. Previous reports suggest that Trm and Tcm have a common precursor present at the early effector phase; yet, the nature of this precursor is elusive. We have found that the extracellular ATP receptor P2RX7 promotes both Tcm and Trm generation. Moreover, P2RX7 is quickly upregulated in some (but not all) early effectors and early P2RX7 ablation hinders both Tcm and Trm generation. Thus, we postulated that P2RX7 in early effectors may mark a Tcm/Trm common precursor. Comparison between high (P2RX7hi) and low (P2RX7lo) P2RX7-expressing CD8+ T cells shows a correlation between memory markers and P2RX7, with CD62L+ Tcm precursors exclusively found in P2RX7hi cells. RNA-seq of P2RX7hi and P2RX7lo early effectors show survival, memory and pluripotency genes and pathways are upregulated in P2RX7hi cells. Conversely, many terminal effector and apoptosis genes are upregulated in P2RX7lo cells. P2RX7lo early effectors and MPs have increased apoptosis. Upon transfer into infection-matched mice, P2RX7hi MPs preferentially survive and form Tcm compared to P2RX7lo MPs. This is even more apparent when P2RX7hi and P2RX7lo early effectors are compared: approximately 100x more P2RX7hi cells form memory when compared to P2RX7lo cells, both Tcm and Trm. Our data suggest that P2RX7 in early effector CD8+ T cells promotes the generation of a common Tcm/Trm precursor.
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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) | 0.003 | 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".