Generation and function of progenitor T cells from StemRegenin-1–expanded CD34+ human hematopoietic progenitor cells
Bibliographic record
Abstract
Broader clinical application of umbilical cord blood (UCB), as a source of hematopoietic stem/progenitor cells (HSPCs), is limited by low CD34+ and T-cell numbers, contributing to slow lymphohematopoietic recovery, infection, and relapse. Studies have evaluated the safety, feasibility, and expedited neutrophil recovery associated with the transplantation of CD34+ HSPCs from ex vivo expansion cultures using the aryl hydrocarbon receptor antagonist StemRegenin-1 (SR1). In a phase 1/2 study of 17 patients who received combined SR1-expanded and unexpanded UCB units, a considerable advantage for enhancing T-cell chimerism was not observed. We previously showed that progenitor T (proT) cells generated in vitro from HSPCs accelerated T-cell reconstitution and restored immunity after hematopoietic stem cell transplantation (HSCT). To expedite immune recovery, we hypothesized that SR1-expanded HSPCs together with proT cells could overcome the known T-cell immune deficiency that occurs post-HSCT. Here, we show that SR1-expanded UCB can induce >250-fold expansion of CD34+ HSPCs, which can generate large numbers of proT cells upon in vitro differentiation. When compared with nonexpanded naive proT cells, SR1 proT cells also showed effective thymus-seeding and peripheral T-cell functional capabilities in vivo despite having an altered phenotype. In a competitive transfer approach, both naive and SR1 proT cells showed comparable thymus-engrafting capacities. Single-cell RNA sequencing of peripheral CD3+ T cells from mice injected with either naive or SR1 proT cells revealed functional subsets of T cells with polyclonal T-cell receptor repertoires. Our findings support the use of SR1-expanded UCB grafts combined with proT-cell generation for decreasing T-cell immunodeficiency post-HSCT.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.001 | 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 teacher head, 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".