Lfc/Arhgef2 regulates mitotic spindle orientation in hematopoietic stem and progenitor cells and is essential for productive hematopoiesis
Bibliographic record
Abstract
How hematopoietic stem cells (HSCs) coordinate their divisional axis relative to supportive niche cells and whether or not their divisional orientation is important for stem cell-driven hematopoiesis is poorly understood. Single cell RNA sequencing data from patients with the inherited bone marrow failure Shwachman-Diamond syndrome (SDS) show that ARHGEF2, a RhoA-specific guanine nucleotide exchange factor (GEF) and determinant of mitotic spindle orientation, is one of a restricted group of genes specifically downregulated in SDS HSCs and multipotent progenitors. Here, we describe Lfc/Arhgef2 as an important regulator of hematopoiesis in vivo. Transplanted Lfc/Arhgef2-/- bone marrow shows impaired hematopoietic recovery and a production deficit of long-term HSCs. These phenotypes cannot be explained by differences in numbers of transplanted HSCs, their cell cycle status, level of apoptosis, progenitor output or homing ability. Using live imaging of dividing hematopoietic stem and progenitor cells (HSPCs), we show an increased frequency of misoriented divisions in the absence of Lfc/Arhgef2. Functional ARHGEF2 knockdown in human HSCs also impairs their ability to regenerate hematopoiesis, culminating in significantly smaller hematopoietic xenografts. Together, these data provide evidence demonstrating a conserved role for Lfc/Arhgef2 in orienting HSPC division and suggest that HSCs divide in certain orientations to establish hematopoiesis, the loss of which leads to their exhaustion in a mechanism that may underlie certain bone marrow failure syndromes.
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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 | 0.000 |
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".