LYL1 is critical for adult hematopoietic stem cell-derived B and T lymphopoiesis
Bibliographic record
Abstract
Hematopoietic stem cells (HSCs) are defined by their remarkable self-renewal and differentiation capacities, giving rise to progenitors that generate diverse blood and immune cell lineages through the tightly regulated process of hematopoiesis. This process is governed by key transcription factors that control gene expression programs essential for cellular homeostasis, differentiation, and lineage commitment. The transcription factor Lyl1 plays a critical role in regulating HSC function and the lineage specification of hematopoietic progenitors. To investigate its role in adult hematopoiesis, we developed a novel conditional Lyl1 knockout (KO) mouse model. Conditional deletion of Lyl1 in adult mice resulted in reduced HSC and lymphoid progenitor populations, consistent with findings from constitutive Lyl1 KO models. Despite these reductions, mature B- and T-lymphocyte numbers remained unchanged, in contrast to previous reports from embryonically deleted Lyl1 models. Competitive transplantation assays further confirmed that Lyl1 is essential for the generation of adult HSC-derived lymphoid progenitors that support adaptive T- and B-cell production. Our new conditional Lyl1 KO model provides a valuable tool for dissecting Lyl1 function across developmental stages and uncovering the mechanisms that maintain postnatal hematopoietic 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".