UBAP2L is a novel BMI1-interacting protein essential for hematopoietic stem cell activity
Bibliographic record
Abstract
Multipotent long-term repopulating hematopoietic stem cells (LT-HSCs) can self-renew or differentiate into the less primitive short-term repopulating stem cells (ST-HSCs), which themselves produce progenitors that ensure the daily supply of all essential blood components. The Polycomb group (PcG) protein BMI1 is essential for the activity of both HSCs and progenitor cells. Although BMI1 operates by suppressing the Ink4a/Arf locus in progenitors and ST-HSCs, the mechanisms through which this gene regulates the activity of LT-HSCs remain poorly understood. Toward this goal, we isolated BMI1-containing protein complexes and identified UBAP2L as a novel BMI1-interacting protein. We also showed that UBAP2L is preferentially expressed in mouse and human HSC-enriched populations when compared with more mature cell types, and that this gene is essential for the activity of LT-HSCs. In contrast to what is observed for Bmi1 knockdown, we found that UBAP2L depletion does not affect the Ink4a/Arf locus. Given that we demonstrated that BMI1 overexpression is able to rescue the deleterious effects of Ubap2l downregulation on LT-HSC activity and that UBAP2L is part of a PcG subcomplex comprising BMI1, we propose a model in which at least 2 different BMI1-containing PcG complexes regulate HSC activity, which are distinguishable by the presence of UBAP2L.
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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) | 0.001 | 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".