CD71+erythroid cells promote Tregs and via ectonucleotides CD39 and CD73 modulate T cell responses
Bibliographic record
Abstract
Abstract CD71+erythroid cells are abundant in newborns with immunomodulatory properties. Recently, we showed a subset of neonatal CD71+erythroid cells express significant levels of V-domain Ig Suppressor of T Cell Activation (VISTA) and via TGF-β play a pivotal role in promotion of naïve CD4+T cells into regulatory T cells (PLOS Biology Dec. 2018). Here, we have demonstrated another novel immunomodulatory mechanism for CD71+erythroid cells. A subset of CD71+erythroid cells express significant levels of ectonucleotides CD39 and CD73, which culminating in the formation of adenosine. Extracellular adenosine has a marked dampening effects on the immune cells, suppressing effector T cells and assisting regulatory T cells. In addition, we found that CD71+erythroid cells express adenosine receptor (A2A) and constitutively produce TGF-β. Interestingly, exogenous or endogenous TGF-β upregulates expression of CD73 on CD71+erythroid cells. Collectively, these studies provide a novel insight into the crosstalk between CD71+ erythroid cells and regulatory T cells. Our results highlight the important biological role of CD71+erythroid cells in immune homeostasis.
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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) | 0.002 | 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".