ATP2B1 expression identifies human hematopoietic stem cells across ontogeny with superior repopulation and self-renewal capacity
Bibliographic record
Abstract
Summary Long-term hematopoietic stem cells (LT-HSC) maintain lifelong hematopoiesis while preserving the stem cell compartment through self-renewal. The human LT-HSC compartment is molecularly and functionally heterogeneous and also varies across ontogeny. Dissecting the molecular basis for this variation is impeded by the absence of immunophenotypic markers to resolve LT-HSC heterogeneity. Here, we identified ATPase plasma membrane Ca 2+ transporting 1 (ATP2B1/PMCA1) as a novel cell surface marker that is heterogeneously expressed by CD49f + LT-HSC across ontogeny. ATP2B1 immunophenotypic expression stratified human CD49f + LT-HSC from fetal liver (FL), neonatal cord blood (CB) and adult mobilized peripheral blood (mPB) sources into functionally distinct subpopulations in single-cell (sc) clonogenic assays. CD49f + ATP2B1 + LT-HSC exhibited superior long-term repopulation and self-renewal capacities in vivo compared to CD49f + ATP2B1 – LT-HSC. Molecular profiling by scMultiome and immunofluorescence microscopy point to enrichment of an HSC self-renewal program that includes the TFEB-endolysosomal axis in CD49f + ATP2B1 + LT-HSC. Our study provides a new tool to dissect the heterogeneous molecular programs in LT-HSC across ontogeny.
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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".